Shawn Bowers

138 total papers · 3.9k total citations
69 papers, 1.6k citations indexed

About

Shawn Bowers is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Shawn Bowers has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 41 papers in Information Systems and Management and 28 papers in Artificial Intelligence. Recurrent topics in Shawn Bowers's work include Scientific Computing and Data Management (40 papers), Distributed and Parallel Computing Systems (31 papers) and Semantic Web and Ontologies (27 papers). Shawn Bowers is often cited by papers focused on Scientific Computing and Data Management (40 papers), Distributed and Parallel Computing Systems (31 papers) and Semantic Web and Ontologies (27 papers). Shawn Bowers collaborates with scholars based in United States, Australia and Switzerland. Shawn Bowers's co-authors include Bertram Ludäscher, Mark Schildhauer, Timothy McPhillips, Matthew B. Jones, Joshua S. Madin, Manish Kumar Anand, O. J. Reichman, Daniel Zinn, Lois Delcambre and Deana Pennington and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Shawn Bowers

67 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Shawn Bowers 853 740 620 361 210 69 1.6k
Jane Hunter 250 0.3× 578 0.8× 265 0.4× 845 2.3× 105 0.5× 138 2.2k
Marco Roos 607 0.7× 477 0.6× 239 0.4× 250 0.7× 138 0.7× 101 2.1k
Duncan Hull 984 1.2× 648 0.9× 730 1.2× 257 0.7× 34 0.2× 51 2.0k
Neil Chue Hong 610 0.7× 476 0.6× 413 0.7× 181 0.5× 35 0.2× 63 1.3k
Peter Arzberger 283 0.3× 260 0.4× 205 0.3× 86 0.2× 201 1.0× 46 1.5k
James Frew 484 0.6× 491 0.7× 456 0.7× 318 0.9× 35 0.2× 52 1.9k
Stian Soiland‐Reyes 1.1k 1.3× 778 1.1× 563 0.9× 290 0.8× 39 0.2× 75 1.7k
Mirek Riedewald 93 0.1× 520 0.7× 964 1.6× 648 1.8× 314 1.5× 58 2.0k
Katherine Wolstencroft 1.2k 1.4× 700 0.9× 691 1.1× 413 1.1× 26 0.1× 64 2.1k
Andrew Jones 133 0.2× 405 0.5× 344 0.6× 78 0.2× 74 0.4× 63 1.7k

Countries citing papers authored by Shawn Bowers

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Bowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Bowers

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