Geoffrey Barbier

23 total papers · 1.7k total citations
9 papers, 702 citations indexed

About

Geoffrey Barbier is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Geoffrey Barbier has authored 9 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Geoffrey Barbier's work include Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers) and Research Data Management Practices (2 papers). Geoffrey Barbier is often cited by papers focused on Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers) and Research Data Management Practices (2 papers). Geoffrey Barbier collaborates with scholars based in United States. Geoffrey Barbier's co-authors include Huiji Gao, Rebecca Goolsby, Huan Liu, Pritam Gundecha, Huan Liu, Gabriel Pui Cheong Fung, Reza Zafarani, Zhuo Feng, Mohammad Ali Abbasi and Shamanth Kumar and has published in prestigious journals such as IEEE Intelligent Systems, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Geoffrey Barbier

9 papers receiving 643 citations

Hit Papers

Harnessing the Crowdsourc... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Geoffrey Barbier 280 261 174 130 110 9 702
Rebecca Goolsby 314 1.1× 305 1.2× 127 0.7× 108 0.8× 98 0.9× 11 701
Pamela Ludford 253 0.9× 243 0.9× 94 0.5× 156 1.2× 125 1.1× 14 881
Jeffrey Morgan 406 1.4× 243 0.9× 242 1.4× 17 0.1× 142 1.3× 13 893
Giovanni Quattrone 165 0.6× 73 0.3× 147 0.8× 80 0.6× 168 1.5× 39 729
Monica Stephens 212 0.8× 121 0.5× 47 0.3× 47 0.4× 60 0.5× 12 794
Raz Schwartz 245 0.9× 89 0.3× 68 0.4× 24 0.2× 43 0.4× 15 770
Alexander Savelyev 136 0.5× 107 0.4× 146 0.8× 20 0.2× 339 3.1× 25 884
Nayomi Kankanamge 233 0.8× 127 0.5× 100 0.6× 28 0.2× 51 0.5× 22 742
Momin M. Malik 267 1.0× 191 0.7× 113 0.6× 19 0.1× 73 0.7× 30 630
Fabian Abel 136 0.5× 138 0.5× 381 2.2× 88 0.7× 430 3.9× 39 815

Countries citing papers authored by Geoffrey Barbier

Since Specialization
Citations

This map shows the geographic impact of Geoffrey Barbier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geoffrey Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Barbier more than expected).

Fields of papers citing papers by Geoffrey Barbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Barbier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geoffrey Barbier. The network helps show where Geoffrey Barbier may publish in the future.

Co-authorship network of co-authors of Geoffrey Barbier

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Barbier. A scholar is included among the top collaborators of Geoffrey Barbier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey Barbier. Geoffrey Barbier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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