Scientometric analysis of attendance at International Scientific Meetings

Schubert, András; Zsindely, Sándor; Braun, Tibor

doi:10.1007/bf02095627

Cited by 27 publications

(13 citation statements)

References 5 publications

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“…Data on organisation of and attendance at conferences, therefore, reveal interesting details on the open or closed nature of scientific communities as well as on the infrastructural, intra-scientific and commercial background of organising scientific meetings and also the attraction of attendees from other countries. SCHUBERT et al (1983) have laid the groundwork for cross-national analyses of mutual relationship patterns in attendance of international scientific meetings. SODERQVIST & SILVERSTEIN (1994a, 1994b and later also GODIN (1998) have studied international flows of knowledge based on scientific meeting data in different science areas.…”

Section: Introductionmentioning

confidence: 99%

Proceedings literature as additional data source for bibliometric analysis

et al. 2006

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Scientific meetings have become increasingly important channels for scholarly communication. In several fields of applied and engineering sciences they are -according to the statements of scientists active in those fields -even more important than publishing in periodicals. One objective of this study is to analyse the weight of proceedings literature in all fields of the sciences, social sciences and humanities as well as the use of the ISI Proceedings database as additional data source for bibliometric studies. The second objective is exploring the use of a further important feature of this database, namely, of information about conference location for the analysis of bibliometrically relevant aspects of information flow such as the relative attractivity, the extent of mobility and unidirectional or mutual affinity of countries.

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Section: Introductionmentioning

confidence: 99%

Proceedings literature as additional data source for bibliometric analysis

et al. 2006

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“…Scientific meetings are useful events for disseminating the latest trends in research [Schubert et al 1983] and facilitating the transmission of information via personal contacts [Peters 1975]. Scientific meetings themselves are alternatives to the scholarly publications used in bibliometric studies for analyzing created knowledge.…”

Section: Analysis Of Scientific Meetingsmentioning

confidence: 99%

Visualizing the evolution of bioinformatics: Chronological networks created by textual analysis of intelligent systems for molecular biology 1998-2006

Furukawa

Okuwada

Hayashi

2013

2013 International Conference on Engineering, Technology and Innovation (ICE) &Amp; IEEE International Technology Management Co

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This study aimed to uncover the evolutionary processes behind the developments in the field of bioinformatics by analyzing prestigious conference presentations reflecting the prominent research in the field. Bioinformatics was selected as a representative interdisciplinary research field. Textual analyses on the abstracts of proceedings papers produced chronological networks of conference sessions. In those networks, divergent session nodes corresponded to practical papers that proposed fundamental technologies promoting new research. Convergent session nodes corresponded to papers that combined various theories and methodologies proposed in the past. The convergent session nodes play a significant role in innovation, which brings together complementary knowledge derived from different backgrounds. A joint chronological network shows a differentiation between pure scientific research and applied research, contributed to the benefit of the general public. These findings were obtained by assessing the chronological networks that reflect future perspectives on session titles in scholarly communities.

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“…They mainly have focused on scientific communication patterns (Drott, 1995;Glänzel, Schlemmer, Schubert, Irps, & Budapest, 2005;Glänzel, Schlemmer, Schubert, & Thijs, 2006;Godin, 1998;Lisée & Larivière, 2008;Lyon, 1986;Schubert, Zsindely, & Braun, 1983), structure of discipline (Martens & Saretzki, 1994), and emergence and growth of science (Kranakis & Leydesdorff, 1989;Martens & Saretzki, 1993;Smeaton, Keogh, Gurrin, McDonald, & Sødring, 2003). Some other works have evaluated event quality (Yan & Lee, 2007;Zhuang, Elmacioglu, Lee, & Giles, 2007) and have ranked event-related search results (Kuhn & Wattenhofer, 2008;Tveit, 2007).…”

Section: Conference Participationmentioning

confidence: 99%

Are you an invited speaker? A bibliometric analysis of elite groups for scholarly events in bioinformatics

Jeong

Lee

Kim

2009

J. Am. Soc. Inf. Sci.

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Participating in scholarly events (e.g., conferences, workshops, etc.) as an elite-group member such as an organizing committee chair or member, program committee chair or member, session chair, invited speaker, or award winner is beneficial to a researcher's career development. The objective of this study is to investigate whether elite-group membership for scholarly events is representative of scholars' prominence, and which elite group is the most prestigious. We collected data about 15 global (excluding regional) bioinformatics scholarly events held in 2007. We sampled (via stratified random sampling) participants from elite groups in each event. Then, bibliometric indicators (total citations and h index) of seven elite groups and a non-elite group, consisting of authors who submitted at least one paper to an event but were not included in any elite group, were observed using the Scopus Citation Tracker. The Kruskal-Wallis test was performed to examine the differences among the eight groups. Multiple comparison tests (Dwass, Steel, Critchlow-Fligner) were conducted as follow-up procedures. The experimental results reveal that scholars in an elite group have better performance in bibliometric indicators than do others. Among the elite groups, the invited speaker group has statistically significantly the best performance while the other elite-group types are not significantly distinguishable. From this analysis, we confirm that elite-group membership in scholarly events, at least in the field of bioinformatics, can be utilized as an alternative marker for a scholar's prominence, with invited speaker being the most important prominence indicator among the elite groups.

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Scientometric analysis of attendance at International Scientific Meetings

Cited by 27 publications

References 5 publications

Proceedings literature as additional data source for bibliometric analysis

Proceedings literature as additional data source for bibliometric analysis

Visualizing the evolution of bioinformatics: Chronological networks created by textual analysis of intelligent systems for molecular biology 1998-2006

Are you an invited speaker? A bibliometric analysis of elite groups for scholarly events in bioinformatics

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