179 research outputs found
Next-generation altmetrics: responsible metrics and evaluation for open science
No full textSlides presented by Judit Bar-Ilan at the 3:AM conference, Bucharest 28th - 29th September 201
“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan
No full textBoth “interdisciplinarity” and “synergy” are desirable features from a policy perspective: can surplus be found in the interactions among (disciplinary) bodies of knowledge? We have recently developed measures for “interdisciplinarity” and distinguished these measurements from those of “synergy.” In this study, we analyze three review papers by Judit Bar-Ilan (Scientometrics 50(1):7–32, 2001, Ann Rev Inf Sci Technol (ARIST) 38:231–288, 2004, J Informetr 2(1):1–52, 2008a) in terms of whether they rank high on interdisciplinarity and synergy values among the 130 papers of her œuvre. Review papers can be expected to fulfill a synergetic and perhaps also interdisciplinary function in scientific literature more than research articles, since the literature is considered from a broader perspective. Both the interdisciplinarity and synergy indicators point to Bar-Ilan (2004). The three reviews have high synergy scores. Whereas Bar-Ilan (2008a) contributed to the redefinition and shaping of the discipline of “information science,” Bar-Ilan (2004) added the broader perspective of the theoretical and practical relevance of the discipline. Bar-Ilan (2001) reviews various methods for data collection at the Internet. An article of Bar-Ilan and Peritz (2002) in Library Trends scores also high on synergy
A tribute to Puay Tang, Judit Bar-Ilan and Paul Benneworth
No full textThis chapter is a tribute to Puay Tang, Judit Bar-Ilan and Paul Benneworth, three esteemed colleagues who passed away untimely. In this tribute, I commemorate some of the contributions of each of them to the broad field of assessment of the social sciences. Puay Tang contributed in particular to the recognition of the broader impact of the social sciences. Judit Bar-Ilan was well known for her contributions on altmetrics, blogs, and the comparative study of different bibliometric data sources. Paul Benneworth studied intensely the regional role of universities, with particular attention to the arts, humanities and social sciences.</p
Raw data - Markov chain model
No full textThe file contains the raw data for the manuscript entitled:"A Markov chain model for changes in users' assessment of search results" submitted to PLoS One.The paper is authored by Maayan Zhitomirsky-Geffet, Judit Bar-Ilan, Mark Levene</div
Nobel Prize winners
No full textDataset of Nobel Prize winners for the articleA novel bibliometric index with a simple geometric interpretationTo be published in PloS OneAuthored byTrevor Fenner, Martyn Harris, Mark Levene and Judit Bar-Ilan</div
Crossing the academic ocean? Judit Bar-Ilan's oeuvre on search engines studies
No full text[EN] The main objective of this work is to analyse the contributions of Judit Bar-Ilan to the search engines studies. To do this, two complementary approaches have been carried out. First, a systematic literature review of 47 publications authored and co-authored by Judit and devoted to this topic. Second, an interdisciplinarity analysis based on the cited references (publications cited by Judit) and citing documents (publications that cite Judit's work) through Scopus. The systematic literature review unravels an immense amount of search engines studied (43) and indicators measured (especially technical precision, overlap and fluctuation over time). In addition to this, an evolution over the years is detected from descriptive statistical studies towards empirical user studies, with a mixture of quantitative and qualitative methods. Otherwise, the interdisciplinary analysis evidences that a significant portion of Judit's oeuvre was intellectually founded on the computer sciences, achieving a significant, but not exclusively, impact on library and information sciences.Orduña-Malea, E. (2020). Crossing the academic ocean? Judit Bar-Ilan's oeuvre on search engines studies. Scientometrics. 123(3):1317-1340. https://doi.org/10.1007/s11192-020-03450-4S131713401233Bar-Ilan, J. (1998a). On the overlap, the precision and estimated recall of search engines. A case study of the query “Erdos”. Scientometrics,42(2), 207–228. https://doi.org/10.1007/bf02458356.Bar-Ilan, J. (1998b). The mathematician, Paul Erdos (1913–1996) in the eyes of the Internet. Scientometrics,43(2), 257–267. https://doi.org/10.1007/bf02458410.Bar-Ilan, J. (2000). The web as an information source on informetrics? A content analysis. Journal of the American Society for Information Science and Technology,51(5), 432–443. https://doi.org/10.1002/(sici)1097-4571(2000)51:5%3C432:aid-asi4%3E3.0.co;2-7.Bar-Ilan, J. (2001). Data collection methods on the web for informetric purposes: A review and analysis. Scientometrics,50(1), 7–32.Bar-Ilan, J. (2002). Methods for measuring search engine performance over time. Journal of the American Society for Information Science and Technology,53(4), 308–319. https://doi.org/10.1002/asi.10047.Bar-Ilan, J. (2003). Search engine results over time: A case study on search engine stability. Cybermetrics,2/3, 1–16.Bar-Ilan, J. (2005a). Expectations versus reality—Search engine features needed for Web research at mid 2005. Cybermetrics,9, 1–26.Bar-Ilan, J. (2005b). Expectations versus reality—Web search engines at the beginning of 2005. In Proceedings of ISSI 2005: 10th international conference of the international society for scientometrics and informetrics (Vol. 1, pp. 87–96).Bar-Ilan, J. (2010). The WIF of Peter Ingwersen’s website. In B. Larsen, J. W. Schneider, & F. Åström (Eds.), The Janus Faced Scholar a Festschrift in honour of Peter Ingwersen (pp. 119–121). Det Informationsvidenskabelige Akademi. Retrieved 15 January 15, 2020, from https://vbn.aau.dk/ws/portalfiles/portal/90357690/JanusFacedScholer_Festschrift_PeterIngwersen_2010.pdf#page=122.Bar-Ilan, J. (2018). Eugene Garfield on the web in 2001. Scientometrics,114(2), 389–399. https://doi.org/10.1007/s11192-017-2590-9.Bar-Ilan, J., Mat-Hassan, M., & Levene, M. (2006). Methods for comparing rankings of search engine results. Computer Networks,50(10), 1448–1463. https://doi.org/10.1016/j.comnet.2005.10.020.Thelwall, M. (2017). Judit Bar-Ilan: Information scientist, computer scientist, scientometrician. Scientometrics,113(3), 1235–1244. https://doi.org/10.1007/s11192-017-2551-3
Scholars are quickly moving toward a universe of web-native communication
No full textJason Priem, Judit Bar-Ilan, Stefanie Haustein, Isabella Peters, Hadas Shema, and Jens Terliesner get a sense of how established the academic presence is online, and how an individual academic online profile can stand up to traditional measurements of number of publications and citations
A bibliometric index based on the complete list of cited Publications
No full textWe propose a new index, the j-index, which is defined for an author as the sum of the square roots of the numbers of citations to each of the author’s publications. The idea behind the j-index it to remedy a drawback of the h-index - that the h-index does not take into account the full citation record of a researcher. The square root function is motivated by our desire to avoid the possible bias that may occur with a simple sum when an author has several very highly cited papers. We compare the j-index to the h-index, the g-index and the total citation count for three subject areas using several association measures. Our results indicate that that the association between the j-index and the other indices varies according to the subject area. One explanation of this variation may be due to the proportion of citations to publications of the researcher that are in the h-core. The j-index is not an h-index variant, and as such is intended to complement rather than necessarily replace the h-index and other bibliometric indicators, thus providing a more complete picture of a researcher’s achievements
Attentes versus réalité
No full textLes chercheurs qui analysent le Web s’appuient sur des données qui sont souvent collectées à l’aide des moteurs de recherche. Dans une précédente contribution (Bar-Ilan, 2005), l’auteur a proposé une liste d’objectifs pour le moteur de recherche idéal en expliquant le besoin de fonctionnalités spécifiques pour ce type d’activité. Ici, il revisite cette liste et examine si les principaux moteurs de recherche actuels peuvent répondre, au moins partiellement, aux exigences de l’outil de recherche idéal. Les principaux outils de recherche sont commerciaux et destinés à l’utilisateur « moyen » et non au chercheur scientifique qui analyse le Web, ils ne peuvent donc pas satisfaire toutes les demandes.Web research is based on data from the Web. Often data is collected using search engines. In a previous paper (Bar-Ilan, 2005) we proposed a “wish list” for the ideal search engine and explained the need for specific features. In this paper we revisit this list and examine whether the currently existing major search engines can at least partially fulfil the requirements of the ultimate search tool. The major search tools are commercial and are oriented towards the “average” user and not towards the Web researcher, and therefore are unable to meet all the requests
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