Jeffrey Baumes

30 total papers · 504 total citations
11 papers, 182 citations indexed

About

Jeffrey Baumes is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Jeffrey Baumes has authored 11 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Statistical and Nonlinear Physics and 2 papers in Computer Networks and Communications. Recurrent topics in Jeffrey Baumes's work include Data Visualization and Analytics (5 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (2 papers). Jeffrey Baumes is often cited by papers focused on Data Visualization and Analytics (5 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (2 papers). Jeffrey Baumes collaborates with scholars based in United States. Jeffrey Baumes's co-authors include Malik Magdon‐Ismail, Mark Goldberg, Mukkai S. Krishnamoorthy, Brian Wylie, Matthew H. Goldberg, William A. Wallace, Hung-Ching Chen, Matthew Francisco, Luke J. Harmon and Jorge Soberón and has published in prestigious journals such as Applied Mathematics and Computation, PLoS Currents and ACM Transactions on Autonomous and Adaptive Systems.

In The Last Decade

Jeffrey Baumes

10 papers receiving 173 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey Baumes 109 63 49 31 29 11 182
Abigail Z. Jacobs 90 0.8× 54 0.9× 17 0.3× 15 0.5× 29 1.0× 11 183
Paolo Simonetto 105 1.0× 66 1.0× 25 0.5× 13 0.4× 16 0.6× 9 245
Arun S. Maiya 183 1.7× 107 1.7× 71 1.4× 50 1.6× 15 0.5× 10 286
Yanhong Wu 71 0.7× 100 1.6× 17 0.3× 21 0.7× 9 0.3× 10 240
Pengsheng Ji 89 0.8× 99 1.6× 23 0.5× 31 1.0× 33 1.1× 11 273
Alcides Viamontes Esquivel 186 1.7× 49 0.8× 38 0.8× 12 0.4× 33 1.1× 6 256
Miriam Baglioni 30 0.3× 55 0.9× 30 0.6× 51 1.6× 47 1.6× 16 239
Timothy La Fond 160 1.5× 123 2.0× 38 0.8× 55 1.8× 27 0.9× 7 243
Tiphaine Viard 77 0.7× 40 0.6× 61 1.2× 9 0.3× 13 0.4× 6 155
Folke Mitzlaff 145 1.3× 93 1.5× 72 1.5× 116 3.7× 7 0.2× 12 258

Countries citing papers authored by Jeffrey Baumes

Since Specialization
Citations

This map shows the geographic impact of Jeffrey Baumes'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 Jeffrey Baumes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Baumes more than expected).

Fields of papers citing papers by Jeffrey Baumes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Baumes. 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 Jeffrey Baumes. The network helps show where Jeffrey Baumes may publish in the future.

Co-authorship network of co-authors of Jeffrey Baumes

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Baumes. A scholar is included among the top collaborators of Jeffrey Baumes 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 Jeffrey Baumes. Jeffrey Baumes 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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