Abhayendra Singh

18 total papers · 426 total citations
13 papers, 304 citations indexed

About

Abhayendra Singh is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Abhayendra Singh has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 3 papers in Artificial Intelligence. Recurrent topics in Abhayendra Singh's work include Parallel Computing and Optimization Techniques (12 papers), Distributed systems and fault tolerance (10 papers) and Distributed and Parallel Computing Systems (5 papers). Abhayendra Singh is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Distributed systems and fault tolerance (10 papers) and Distributed and Parallel Computing Systems (5 papers). Abhayendra Singh collaborates with scholars based in United States, United Kingdom and Luxembourg. Abhayendra Singh's co-authors include Satish Narayanasamy, Todd Millstein, Daniel Marino, Madanlal Musuvathi, Yves Le Traon, Mike Papadakis and Shaizeen Aga and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Open Repository and Bibliography (University of Luxembourg).

In The Last Decade

Abhayendra Singh

13 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Abhayendra Singh 275 274 68 51 29 13 304
Wonsun Ahn 229 0.8× 246 0.9× 46 0.7× 48 0.9× 30 1.0× 14 293
Kirk Kelsey 238 0.9× 260 0.9× 42 0.6× 52 1.0× 24 0.8× 10 280
Jesse Fang 210 0.8× 234 0.9× 43 0.6× 54 1.1× 29 1.0× 17 256
Gwendolyn Voskuilen 289 1.1× 284 1.0× 80 1.2× 23 0.5× 17 0.6× 17 308
Manuel E. Benitez 114 0.4× 277 1.0× 72 1.1× 26 0.5× 47 1.6× 9 306
P. Emerald Chung 302 1.1× 113 0.4× 40 0.6× 95 1.9× 46 1.6× 9 324
William D. Strecker 289 1.1× 211 0.8× 33 0.5× 45 0.9× 46 1.6× 11 364
William D. Roome 275 1.0× 154 0.6× 77 1.1× 33 0.6× 55 1.9× 15 339
Elana D. Granston 272 1.0× 291 1.1× 32 0.5× 50 1.0× 29 1.0× 16 309
Zlatko Petrov 93 0.3× 196 0.7× 56 0.8× 40 0.8× 18 0.6× 14 239

Countries citing papers authored by Abhayendra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Abhayendra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhayendra Singh

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