Jeffrey Baumes

507 total citations
11 papers, 180 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 180 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, William A. Wallace, Matthew H. Goldberg, Chelsea D. Specht, Luke J. Harmon, Charles E. Hughes and Hung-Ching Chen 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 171 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeffrey Baumes United States 6 109 62 49 30 28 11 180
Arun S. Maiya United States 6 183 1.7× 107 1.7× 71 1.4× 50 1.7× 15 0.5× 10 286
Alcides Viamontes Esquivel Sweden 4 190 1.7× 50 0.8× 38 0.8× 12 0.4× 34 1.2× 6 261
Timothy La Fond United States 5 160 1.5× 124 2.0× 38 0.8× 55 1.8× 27 1.0× 7 244
Rémy Cazabet France 8 231 2.1× 61 1.0× 81 1.7× 38 1.3× 26 0.9× 24 307
Cécile Bothorel France 3 121 1.1× 90 1.5× 25 0.5× 23 0.8× 18 0.6× 7 161
Konstantin Kuzmin United States 7 244 2.2× 107 1.7× 57 1.2× 32 1.1× 61 2.2× 9 329
Kyle Kloster United States 6 168 1.5× 136 2.2× 47 1.0× 26 0.9× 42 1.5× 8 249
Ian X. Y. Leung United Kingdom 5 193 1.8× 77 1.2× 81 1.7× 25 0.8× 109 3.9× 6 331
Nazanin Alipourfard United States 4 111 1.0× 87 1.4× 23 0.5× 26 0.9× 36 1.3× 7 162
Yiye Ruan United States 7 129 1.2× 109 1.8× 44 0.9× 57 1.9× 6 0.2× 9 218

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

11 of 11 papers shown
1.
Harmon, Luke J., Jeffrey Baumes, Charles E. Hughes, et al.. (2013). Arbor: Comparative Analysis Workflows for the Tree of Life. PLoS Currents. 5. 16 indexed citations
2.
McLendon, William, et al.. (2010). Network algorithms for information analysis using the Titan Toolkit. 2528. 103–111. 1 indexed citations
3.
Baumes, Jeffrey, Hung-Ching Chen, Matthew Francisco, et al.. (2008). ViSAGE. ACM Transactions on Autonomous and Adaptive Systems. 3(3). 1–35. 13 indexed citations
4.
Wylie, Brian & Jeffrey Baumes. (2008). A unified toolkit for information and scientific visualization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7243. 72430H–72430H. 18 indexed citations
5.
Baumes, Jeffrey, et al.. (2007). SIGHTS: A Software System for Finding Coalitions and Leaders in a Social Network. 193–199. 3 indexed citations
6.
Crossno, Patricia J., Brian Wylie, Andrew T. Wilson, et al.. (2007). Intelligence Analysis Using Titan. 241–242. 4 indexed citations
7.
Baumes, Jeffrey, et al.. (2007). Integration of information and volume visualization for analysis of cell lineage and gene expression during embryogenesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6809. 68090J–68090J. 5 indexed citations
8.
Goldberg, Mark & Jeffrey Baumes. (2006). Algorithms for discovering hidden groups in communications. 1 indexed citations
9.
Baumes, Jeffrey, et al.. (2005). FINDING COMMUNITIES BY CLUSTERING A GRAPH INTO OVERLAPPING SUBGRAPHS. 97–104. 107 indexed citations
10.
Baumes, Jeffrey, Matthew H. Goldberg, & Malik Magdon‐Ismail. (2005). Efficient Identification of Overlapping Communities. 7 indexed citations
11.
Bringsjord, Selmer, et al.. (2005). A new Gödelian argument for hypercomputing minds based on the busy beaver problem. Applied Mathematics and Computation. 176(2). 516–530. 5 indexed citations

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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