activity
20082024
most citedA Review of Theory and Practice in Scientometrics

995 citations · 2.4k across the 265 of their papers we have counts for

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Showing 2017 · cs.DLShow all

11 papers · 2 filters

cs.DL2017★ 1 cited

The relative influences of government funding and international collaboration on citation impact

Loet Leydesdorff, Lutz Bornmann, Caroline S. Wagner

In a recent publication in Nature, Wagner & Jonkers (2017) report that public R&D funding is only weakly correlated with the citation impact of a nation's papers as measured by the…

cs.DL2017★ 11 cited

Automated Analysis of Topic-Actor Networks on Twitter: New approach to the analysis of socio-semantic networks

Iina Hellsten, Loet Leydesdorff

Social-media data provides increasing opportunities for automated analysis of large sets of textual documents. So far, automated tools have been developed to account for either the…

cs.DL2017★ 1 cited

Patent Citation Spectroscopy (PCS): Algorithmic retrieval of landmark patents

Jordan A Comins, Stephanie A Carmack, Loet Leydesdorff

One essential component in the construction of patent landscapes in biomedical research and development (R&D) is identifying the most seminal patents. Hitherto, the identification…

cs.DL2017

Statistical Significance and Effect Sizes of Differences among Research Universities at the Level of Nations and Worldwide based on the Leiden Rankings

Loet Leydesdorff, Lutz Bornmann, John Mingers

The Leiden Rankings can be used for grouping research universities by considering universities which are not statistically significantly different as homogeneous sets. The groups a…

cs.DL2017

Synergy in the Knowledge Base of U.S. Innovation Systems at National, State, and Regional Levels: The Contributions of High-Tech Manufacturing and Knowledge-Intensive Services

Loet Leydesdorff, Caroline S. Wagner, Igone Porto-Gomez +2

Using information theory, we measure innovation systemness as synergy among size-classes, zip-codes, and technological classes (NACE-codes) for 8.5 million American companies. The…

cs.DL2017★ 40 cited

The geography of references in elite articles: What countries contribute to the archives of knowledge

Lutz Bornmann, Caroline Wagner, Loet Leydesdorff

This study is intended to find an answer for the question on which national "shoulders" the worldwide top-level research stands. Traditionally, national scientific standings are ev…

cs.DL2017★ 26 cited

Reference Publication Year Spectroscopy (RPYS) of Eugene Garfield's publications

Lutz Bornmann, Robin Haunschild, Loet Leydesdorff

Which studies, theories, and ideas have influenced Eugene Garfield's scientific work? Recently, the method reference publication year spectroscopy (RPYS) has been introduced, which…

cs.DL2017

Probing Multivariate Indicators for Academic Evaluation

Helen F. Xue, Loet Leydesdorff, Fred Y. Ye

We combine the Integrated Impact Indicator (I3) and the h-index into the I3-type framework and introduce the publication vector X = (X1, X2, X3) and the citation vector Y = (Y1, Y2…

cs.DL2017

Betweenness and Diversity in Journal Citation Networks as Measures of Interdisciplinarity -- A Tribute to Eugene Garfield --

Loet Leydesdorff, Caroline S. Wagner, Lutz Bornmann

Journals were central to Eugene Garfield's research interests. Among other things, journals are considered as units of analysis for bibliographic databases such as the Web of Scien…

cs.DL2017

Mapping Patent Classifications: Portfolio and Statistical Analysis, and the Comparison of Strengths and Weaknesses

Loet Leydesdorff, Dieter Franz Kogler, Bowen Yan

The Cooperative Patent Classifications (CPC) jointly developed by the European and US Patent Offices provide a new basis for mapping and portfolio analysis. This update provides an…

cs.DL2017★ 2 cited

Toward a Calculus of Redundancy: The feedback arrow of expectations in knowledge-based systems

Loet Leydesdorff, Mark W. Johnson, Inga Ivanova

This paper considers the relationships among meaning generation, selection, and the dynamics of discourse from a variety of perspectives ranging from information theory and biology…