Chad Kersey

8 total papers · 493 total citations
8 papers, 330 citations indexed

About

Chad Kersey is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Chad Kersey has authored 8 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 7 papers in Computer Networks and Communications and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Chad Kersey's work include Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (4 papers) and Distributed and Parallel Computing Systems (3 papers). Chad Kersey is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (4 papers) and Distributed and Parallel Computing Systems (3 papers). Chad Kersey collaborates with scholars based in United States. Chad Kersey's co-authors include Arun Rodrigues, Bruce Jacob, K. Scott Hemmert, Paul Rosenfeld, Ron A. Oldfield, Jonathan Cook, Elliott Cooper-Balis, Brian Barrett, Sudhakar Yalamanchili and Ke Chen and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Components Packaging and Manufacturing Technology and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Chad Kersey

8 papers receiving 323 citations

Author Peers

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

Author Last Decade Papers Cites
Chad Kersey 268 253 108 60 27 8 330
Ayose Falcón 265 1.0× 254 1.0× 56 0.5× 47 0.8× 18 0.7× 17 303
Nikola Rajovic 237 0.9× 249 1.0× 54 0.5× 96 1.6× 10 0.4× 8 319
Nuengwong Tuaycharoen 218 0.8× 193 0.8× 66 0.6× 47 0.8× 7 0.3× 12 295
Kathryn O’Brien 330 1.2× 303 1.2× 39 0.4× 38 0.6× 8 0.3× 10 358
Sorin Manolache 297 1.1× 193 0.8× 65 0.6× 16 0.3× 18 0.7× 14 365
Abdulla Bataineh 193 0.7× 286 1.1× 104 1.0× 65 1.1× 4 0.1× 11 318
G. Lauterbach 191 0.7× 180 0.7× 103 1.0× 24 0.4× 5 0.2× 11 262
Sanketh Nalli 248 0.9× 266 1.1× 76 0.7× 45 0.8× 5 0.2× 8 327
Piyush Shivam 177 0.7× 341 1.3× 33 0.3× 131 2.2× 11 0.4× 12 360
Luis Stevens 251 0.9× 268 1.1× 27 0.3× 39 0.7× 4 0.1× 10 293

Countries citing papers authored by Chad Kersey

Since Specialization
Citations

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

Fields of papers citing papers by Chad Kersey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Kersey

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