Research Impact and Citation Analysis Julia Barrett, UCD Library Overview
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Transitive Reduction of Citation Networks Arxiv:1310.8224V2
Transitive reduction of citation networks James R. Clough, Jamie Gollings, Tamar V. Loach, Tim S. Evans Complexity and Networks group, Imperial College London, South Kensington campus, London, SW7 2AZ, United Kingdom March 28, 2014 Abstract In many complex networks the vertices are ordered in time, and edges represent causal connections. We propose methods of analysing such directed acyclic graphs taking into account the constraints of causality and highlighting the causal struc- ture. We illustrate our approach using citation networks formed from academic papers, patents, and US Supreme Court verdicts. We show how transitive reduc- tion reveals fundamental differences in the citation practices of different areas, how it highlights particularly interesting work, and how it can correct for the effect that the age of a document has on its citation count. Finally, we transitively reduce null models of citation networks with similar degree distributions and show the difference in degree distributions after transitive reduction to illustrate the lack of causal structure in such models. Keywords: directed acyclic graph, academic paper citations, patent citations, US Supreme Court citations 1 Introduction Citation networks are complex networks that possess a causal structure. The vertices are documents ordered in time by their date of publication, and the citations from one document to another are represented by directed edges. However unlike other directed networks, the edges of a citation network are also constrained by causality, the edges must always point backwards in time. Academic papers, patent documents, and court judgements all form natural citation networks. Citation networks are examples of directed acyclic graphs, which appear in many other contexts: from scheduling problems [1] to theories of the structure of space-time [2]. -
Citation Analysis for the Modern Instructor: an Integrated Review of Emerging Research
CITATION ANALYSIS FOR THE MODERN INSTRUCTOR: AN INTEGRATED REVIEW OF EMERGING RESEARCH Chris Piotrowski University of West Florida USA Abstract While online instructors may be versed in conducting e-Research (Hung, 2012; Thelwall, 2009), today’s faculty are probably less familiarized with the rapidly advancing fields of bibliometrics and informetrics. One key feature of research in these areas is Citation Analysis, a rather intricate operational feature available in modern indexes such as Web of Science, Scopus, Google Scholar, and PsycINFO. This paper reviews the recent extant research on bibliometrics within the context of citation analysis. Particular focus is on empirical studies, review essays, and critical commentaries on citation-based metrics across interdisciplinary academic areas. Research that relates to the interface between citation analysis and applications in higher education is discussed. Some of the attributes and limitations of citation operations of contemporary databases that offer citation searching or cited reference data are presented. This review concludes that: a) citation-based results can vary largely and contingent on academic discipline or specialty area, b) databases, that offer citation options, rely on idiosyncratic methods, coverage, and transparency of functions, c) despite initial concerns, research from open access journals is being cited in traditional periodicals, and d) the field of bibliometrics is rather perplex with regard to functionality and research is advancing at an exponential pace. Based on these findings, online instructors would be well served to stay abreast of developments in the field. Keywords: Bibliometrics, informetrics, citation analysis, information technology, Open resource and electronic journals INTRODUCTION In an ever increasing manner, the educational field is irreparably linked to advances in information technology (Plomp, 2013). -
Citation Analysis As a Tool in Journal Evaluation Journals Can Be Ranked by Frequency and Impact of Citations for Science Policy Studies
Citation Analysis as a Tool in Journal Evaluation Journals can be ranked by frequency and impact of citations for science policy studies. Eugene Garfield [NOTE: Tbe article reptintedbere was referenced in the eoay vbi.b begins m @g. 409 is Volume I, IIS ia. #dverte#t omission W6Sdiscovered too Me to iwctnde it at it~ proper Iocatioa, immediately follom”ag tbe essay ) As a communications system, the net- quinquennially, but the data base from work of journals that play a paramount which the volumes are compiled is role in the exchange of scientific and maintained on magnetic tape and is up- technical information is little under- dated weekly. At the end of 1971, this stood. Periodically since 1927, when data base contained more than 27 mi[- Gross and Gross published their study tion references to about 10 million dif- (1) of references in 1 year’s issues of ferent published items. These references the Journal of the American Chemical appeared over the past decade in the Socie/y, pieces of the network have footnotes and bibliographies of more been illuminated by the work of Brad- than 2 million journal articles, commu- ford (2), Allen (3), Gross and nications, letters, and so on. The data Woodford (4), Hooker (5), Henkle base is, thus, not only multidisciplinary, (6), Fussier (7), Brown (8), and it covers a substantial period of time others (9). Nevertheless, there is still no and, being in machine-readable form, is map of the journal network as a whok. amenable to extensive manipulation by To date, studies of the network and of computer. -
How Can Citation Impact in Bibliometrics Be Normalized?
RESEARCH ARTICLE How can citation impact in bibliometrics be normalized? A new approach combining citing-side normalization and citation percentiles an open access journal Lutz Bornmann Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany Downloaded from http://direct.mit.edu/qss/article-pdf/1/4/1553/1871000/qss_a_00089.pdf by guest on 01 October 2021 Keywords: bibliometrics, citation analysis, citation percentiles, citing-side normalization Citation: Bornmann, L. (2020). How can citation impact in bibliometrics be normalized? A new approach ABSTRACT combining citing-side normalization and citation percentiles. Quantitative Since the 1980s, many different methods have been proposed to field-normalize citations. In this Science Studies, 1(4), 1553–1569. https://doi.org/10.1162/qss_a_00089 study, an approach is introduced that combines two previously introduced methods: citing-side DOI: normalization and citation percentiles. The advantage of combining two methods is that their https://doi.org/10.1162/qss_a_00089 advantages can be integrated in one solution. Based on citing-side normalization, each citation Received: 8 May 2020 is field weighted and, therefore, contextualized in its field. The most important advantage of Accepted: 30 July 2020 citing-side normalization is that it is not necessary to work with a specific field categorization scheme for the normalization procedure. The disadvantages of citing-side normalization—the Corresponding Author: Lutz Bornmann calculation is complex and the numbers are elusive—can be compensated for by calculating [email protected] percentiles based on weighted citations that result from citing-side normalization. On the one Handling Editor: hand, percentiles are easy to understand: They are the percentage of papers published in the Ludo Waltman same year with a lower citation impact. -
Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln September 2019 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected] C. P. Ramasesh [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Scholarly Communication Commons, and the Scholarly Publishing Commons Rama, Kodanda and Ramasesh, C. P., "Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index" (2019). Library Philosophy and Practice (e-journal). 2889. https://digitalcommons.unl.edu/libphilprac/2889 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index 1 2 Kodandarama and C.P. Ramasesh ABSTRACT: [Paper furnishes the results of the analysis of citations of research papers covered by Scopus database of Elsevier, USA. The coverage of the database is complete; citations depicted by Scopus upto June 2019 are considered. Study projects the research performance of six well established top universities in the state of Karnataka with regard the number of research papers covered by scholarly journals and number of scholars who have cited these research papers. Also projected is the average citations per research paper and h-Index of authors. Paper also projects the performance of top faculty members who are involved in contributing research papers. Collaboration with authors of foreign countries in doing research work and publishing papers are also comprehended in the study, including the trends in publishing research papers which depict the decreasing and increasing trends of research work.] INTRODUCTION: Now-a-days, there is emphasis on improving the quality of research papers on the whole. -
Journal Rankings Paper
NBER WORKING PAPER SERIES NEOPHILIA RANKING OF SCIENTIFIC JOURNALS Mikko Packalen Jay Bhattacharya Working Paper 21579 http://www.nber.org/papers/w21579 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2015 We thank Bruce Weinberg, Vetla Torvik, Neil Smalheiser, Partha Bhattacharyya, Walter Schaeffer, Katy Borner, Robert Kaestner, Donna Ginther, Joel Blit and Joseph De Juan for comments. We also thank seminar participants at the University of Illinois at Chicago Institute of Government and Public Affairs, at the Research in Progress Seminar at Stanford Medical School, and at the National Bureau of Economic Research working group on Invention in an Aging Society for helpful feedback. Finally, we thank the National Institute of Aging for funding for this research through grant P01-AG039347. We are solely responsible for the content and errors in the paper. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2015 by Mikko Packalen and Jay Bhattacharya. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Neophilia Ranking of Scientific Journals Mikko Packalen and Jay Bhattacharya NBER Working Paper No. 21579 September 2015 JEL No. I1,O3,O31 ABSTRACT The ranking of scientific journals is important because of the signal it sends to scientists about what is considered most vital for scientific progress. -
Google Scholar, Web of Science, and Scopus
Journal of Informetrics, vol. 12, no. 4, pp. 1160-1177, 2018. https://doi.org/10.1016/J.JOI.2018.09.002 Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories Alberto Martín-Martín1 , Enrique Orduna-Malea2 , Mike 3 1 Thelwall , Emilio Delgado López-Cózar Version 1.6 March 12, 2019 Abstract Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2,299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%-96%), far ahead of Scopus (35%-77%) and WoS (27%-73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%-65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%- 38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage. -
A New Index for the Citation Curve of Researchers
A New Index for the Citation Curve of Researchers Claes Wohlin School of Engineering Blekinge Institute of Technology Box 520 SE37225 Ronneby Sweden Email: [email protected] Abstract Internet has made it possible to move towards researcher and article impact instead of solely focusing on journal impact. To support citation measurement, several indexes have been proposed, including the h‐index. The h‐index provides a point estimate. To address this, a new index is proposed that takes the citation curve of a researcher into account. This article introduces the index, illustrates its use and compares it to rankings based on the h‐index as well as rankings based on publications. It is concluded that the new index provides an added value, since it balances citations and publications through the citation curve. Keywords: impact factor, citation analysis, h‐index, g‐index, Hirsch, w‐index 1. Introduction The impact of research is essential. In attempts to quantify impact, different measures have been introduced. This includes the impact factor for journals introduced 45 years ago by GARFIELD and SHER [1963] and GARFIELD [2006]. However, it may be argued that the impact of a journal becomes less important as research articles becomes available on‐line and could be easily located even if they are not published in a high impact journal. In general, high impact articles are more important than the journal itself. Historically, highly cited articles have been published in high impact journals, but this pattern may change as for example conference articles are as easily accessible as journal articles. -
Google Scholar: the Democratization of Citation Analysis?
Google Scholar: the democratization of citation analysis? Anne-Wil Harzing Ron van der Wal Version November 2007 Accepted for Ethics in Science and Environmental Politics Copyright © 2007 Anne-Wil Harzing and Ron van der Wal. All rights reserved. Dr. Anne-Wil Harzing Email: [email protected] University of Melbourne Web: www.harzing.com Department of Management Faculty of Economics & Commerce Parkville Campus Melbourne, VIC 3010 Australia Google Scholar: the democratization of citation analysis? Anne-Wil Harzing* 1, Ron van der Wal2 1 Department of Management, University of Melbourne, Parkville Campus, Parkville, Victoria 3010, Australia * Email: [email protected] 2 Tarma Software Research, GPO Box 4063, Melbourne, Victoria 3001 Australia Running head: citation analysis with Google Scholar Key words: Google Scholar, citation analysis, publish or perish, h-index, g-index, journal impact factor Abstract Traditionally, the most commonly used source of bibliometric data is Thomson ISI Web of Knowledge, in particular the (Social) Science Citation Index and the Journal Citation Reports (JCR), which provide the yearly Journal Impact Factors (JIF). This paper presents an alternative source of data (Google Scholar, GS) as well as three alternatives to the JIF to assess journal impact (the h-index, g-index and the number of citations per paper). Because of its broader range of data sources, the use of GS generally results in more comprehensive citation coverage in the area of Management and International Business. The use of GS particularly benefits academics publishing in sources that are not (well) covered in ISI. Among these are: books, conference papers, non-US journals, and in general journals in the field of Strategy and International Business. -
— Emerging Sources Citation Index
WEB OF SCIENCE™ CORE COLLECTION — EMERGING SOURCES CITATION INDEX THE VALUE OF COVERAGE IN INTRODUCING THE EMERGING SOURCES WEB OF SCIENCE CITATION INDEX This year, Clarivate Analytics is launching the Emerging INCREASING THE VISIBILITY OF Sources Citation Index (ESCI), which will extend the SCHOLARLY RESEARCH universe of publications in Web of Science to include With content from more than 12,700 top-tier high-quality, peer-reviewed publications of regional international and regional journals in the Science importance and in emerging scientific fields. ESCI will Citation Index Expanded™ (SCIE),the Social Sciences also make content important to funders, key opinion Citation Index® (SSCI), and the Arts & Humanities leaders, and evaluators visible in Web of Science Core Citation Index® (AHCI); more than 160,000 proceedings Collection even if it has not yet demonstrated citation in the Conference Proceedings Citation Index; and impact on an international audience. more than 68,000 books in the Book Citation Index; Journals in ESCI have passed an initial editorial Web of Science Core Collection sets the benchmark evaluation and can continue to be considered for for information on research across the sciences, social inclusion in products such as SCIE, SSCI, and AHCI, sciences, and arts and humanities. which have rigorous evaluation processes and selection Only Web of Science Core Collection indexes every paper criteria. All ESCI journals will be indexed according in the journals it covers and captures all contributing to the same data standards, including cover-to-cover institutions, no matter how many there are. To be indexing, cited reference indexing, subject category included for coverage in the flagship indexes in the assignment, and indexing all authors and addresses. -
Finding Seminal Scientific Publications with Graph Mining
DEGREE PROJECT, IN COMPUTER SCIENCE , SECOND LEVEL STOCKHOLM, SWEDEN 2015 Finding seminal scientific publications with graph mining MARTIN RUNELÖV KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF COMPUTER SCIENCE AND COMMUNICATION Finding seminal scientific publications with graph mining MARTIN RUNELÖV Master’s Thesis at CSC Supervisor at CSC: Olov Engwall Supervisor at SICS: John Ardelius August 16, 2015 Abstract We investigate the applicability of network analysis to the prob- lem of finding seminal publications in scientific publishing. In particular, we focus on the network measures betweenness cen- trality, the so-called backbone graph, and the burstiness of cita- tions. The metrics are evaluated using precision-related scores with respect to gold standards based on fellow programmes and manual annotation. Citation counts, PageRank, and random se- lection are used as baselines. We find that the backbone graph provides us with a way to possibly discover seminal publications with low citation count, and combining betweenness and bursti- ness gives results on par with citation count. Referat Användning av grafanalys för att hitta betydelsefulla vetenskapliga artiklar I detta examensarbete undersöks det huruvida analys av cite- ringsgrafer kan användas för att finna betydelsefulla vetenskapli- ga publikationer. Framför allt studeras ”betweenness”-centralitet, den så kallade ”backbone”-grafen samt ”burstiness” av citering- ar. Dessa mått utvärderas med hjälp av precisionsmått med av- seende på guldstandarder baserade på ’fellow’-program samt via manuell annotering. Antal citeringar, PageRank, och slumpmäs- sigt urval används som jämförelse. Resultaten visar att ”backbone”-grafen kan bidra till att eventuellt upptäcka bety- delsefulla publikationer med ett lågt antal citeringar samt att en kombination av ”betweenness” och ”burstiness” ger resultat i nivå med de man får av att räkna antal citeringar. -
The Journal Ranking System Undermining the Impact of 2 Brazilian Science 3 4 Rodolfo Jaffé1 5 6 1 Instituto Tecnológico Vale, Belém-PA, Brazil
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.05.188425; this version posted July 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 QUALIS: The journal ranking system undermining the impact of 2 Brazilian science 3 4 Rodolfo Jaffé1 5 6 1 Instituto Tecnológico Vale, Belém-PA, Brazil. Email: [email protected] 7 8 Abstract 9 10 A journal ranking system called QUALIS was implemented in Brazil in 2009, intended to rank 11 graduate programs from different subject areas and promote selected national journals. Since this 12 system uses a complicated suit of criteria (differing among subject areas) to group journals into 13 discrete categories, it could potentially create incentives to publish in low-impact journals ranked 14 highly by QUALIS. Here I assess the influence of the QUALIS journal ranking system on the 15 global impact of Brazilian science. Results reveal a steeper decrease in the number of citations 16 per document since the implementation of this QUALIS system, compared to the top Latin 17 American countries publishing more scientific articles. All the subject areas making up the 18 QUALIS system showed some degree of bias, with social sciences being usually more biased 19 than natural sciences. Lastly, the decrease in the number of citations over time proved steeper in a 20 more biased area, suggesting a faster shift towards low-impact journals ranked highly by 21 QUALIS.