The Rise and Rise of Citation Analysis
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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). -
Newsletternewsletter Volume 1 ■ Number 41 ■ Decemberapril 2003 2003
newsletternewsletter Volume 1 ■ Number 41 ■ DecemberApril 2003 2003 Welcome In this Issue FEATURES Dear Colleagues, Scholarly Publishing: 12 Observations on the In the transition from the print to the electronic world, technology has Current Situation and Challenges for descended upon the library like a tsunami. Librarians have labored long the Future ..............................................................2-3 and hard to create and be steered by a clear sense of mission in this new age, rather than simply being swept along by the technological wave. Library Vision of the Future: University of Rochester Libraries — There have been enormous challenges in understanding the potential of Geoff Adams the new technology and how to harness it to a needs-driven environment. Focusing on Users, Hiding Technology ............4 Fundamental questions have even been raised about the very value of traditional libraries in this The Future of Librarianship: A View From a new environment, and librarians continue to wrestle with what their future role in the scientific and School of Library and Information Science ......5-6 academic communities will be. Libraries Look to the Future: As a member of these communities Elsevier is equally affected. This highly dynamic environment Place and Space, Physical and Virtual, presents both great challenges and great opportunities. In the course of the last few years we have Where are Libraries Headed? ................................7 seen production, pricing and packaging models from the print journal world change out of all recognition to accommodate the needs of the new digital environment. We have seen the emergence of e-publishing CENTER OF ATTENTION environments such as PUBMED, JSTOR, and most recently the Open Access movement. -
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. -
Steering Science Through Output Indicators & Data Capitalism
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Copyright, Fair Use, Scholarly Communication, etc. Libraries at University of Nebraska-Lincoln 9-2019 Steering science through Output Indicators & Data Capitalism Ulrich Herb Saarland University & State Library Follow this and additional works at: https://digitalcommons.unl.edu/scholcom Part of the Intellectual Property Law Commons, Scholarly Communication Commons, and the Scholarly Publishing Commons Herb, Ulrich, "Steering science through Output Indicators & Data Capitalism" (2019). Copyright, Fair Use, Scholarly Communication, etc.. 125. https://digitalcommons.unl.edu/scholcom/125 This Article is brought to you for free and open access by the Libraries at University of Nebraska-Lincoln at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Copyright, Fair Use, Scholarly Communication, etc. by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Steering science through Output Indicators & Data Capitalism Published in: Proceedings of the 23rd Congress of the European Society of Veterinary and Comparative Nutrition (ESVCN 2019), Turin/ Italy, 17-20 September 2019. Author: Ulrich Herb, ORCID: 0000-0002-3500-3119 Affiliations: Saarland University & State Library ./scidecode science consulting & research Please cite as: Herb, Ulrich (2019). Steering science through Output Indicators & Data Capitalism. Proceedings of the 23rd Congress of the European Society of Veterinary and Comparative Nutrition, Turin 2019. DOI:10.5281/zenodo.3333395 Performance tracking in science Since the mid-1920s, a scientist's performance was tracked by using bibliometric information such as the number of publications or their citations. Today, there are unprecedented possibilities for controlling science by analysing data on production and use of scientific information, so that citations only play a subordinate role in the evaluation of science. -
1.12 News Feat 4 Searches MH
NEWS FEATURE NATURE|Vol 438|1 December 2005 conference proceedings and institutional repositories, often locating free versions of Start your engines articles on author websites. This ‘grey litera- ture’ is growing in importance but remains poorly defined. It is widely assumed that Google has launched another challenge to commercial search Google considers a source scholarly if it is cited services — this time aimed at scientists. But is the new engine by another scholarly resource — but as online publishing evolves, so may this definition. running as smoothly as its fans hope? Jim Gilesinvestigates. Advocates of greater access to the scientific lit- erature hope that Scholar will encourage more s an undergraduate in India in the Science had a monopoly on citation tracking. researchers to deposit their articles in free mid-1980s, Anurag Acharya had to Citation counts allow researchers, institutes online repositories. write letters to scientists when he and journals to follow the impact of individual But how well does Scholar actually work? Acould not find the papers he wanted. articles through time, leading to metrics, such Librarians who have It is a memory that makes the softly spoken as journal impact factors, that are the bane and run systematic computer engineer laugh. Now working at blessing of many academic careers. Google, Acharya is creating a search tool that But unlike Scopus and Web of aims to be the first choice for everyone from Science, Scholar does more Indian students to Iranian professors. “I want than just search the peer- to make it the one place to go to for scholarly reviewed literature. -
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. -
Machine Learning in Scientometrics
DEPARTAMENTO DE INTELIGENCIA ARTIFICIAL Escuela Tecnica´ Superior de Ingenieros Informaticos´ Universidad Politecnica´ de Madrid PhD THESIS Machine Learning in Scientometrics Author Alfonso Iba´nez˜ MS Computer Science MS Artificial Intelligence PhD supervisors Concha Bielza PhD Computer Science Pedro Larranaga˜ PhD Computer Science 2015 Thesis Committee President: C´esarHerv´as Member: Jos´eRam´onDorronsoro Member: Enrique Herrera Member: Irene Rodr´ıguez Secretary: Florian Leitner There are no secrets to success. It is the result of preparation, hard work, and learning from failure. Acknowledgements Ph.D. research often appears a solitary undertaking. However, it is impossible to maintain the degree of focus and dedication required for its completion without the help and support of many people. It has been a difficult long journey to finish my Ph.D. research and it is of justice to cite here all of them. First and foremost, I would like to thank Concha Bielza and Pedro Larra~nagafor being my supervisors and mentors. Without your unfailing support, recommendations and patient, this thesis would not have been the same. You have been role models who not only guided my research but also demonstrated your enthusiastic research attitudes. I owe you so much. Whatever research path I do take, I will be prepared because of you. I would also like to express my thanks to all my friends and colleagues at the Computa- tional Intelligence Group who provided me with not only an excellent working atmosphere and stimulating discussions but also friendships, care and assistance when I needed. My special thank-you goes to Rub´enArma~nanzas,Roberto Santana, Diego Vidaurre, Hanen Borchani, Pedro L. -
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. -
— 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.