James R. McGraw

44 total papers · 633 total citations
24 papers, 380 citations indexed

About

James R. McGraw is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, James R. McGraw has authored 24 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in James R. McGraw's work include Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed systems and fault tolerance (6 papers). James R. McGraw is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed systems and fault tolerance (6 papers). James R. McGraw collaborates with scholars based in United States. James R. McGraw's co-authors include R. R. Oldehoeft, Stephen J. Allan, John Glauert, Gregory R. Andrews, T. S. Axelrod, C. Wayne Berisford, R. C. Wilkinson, A.C. Hindmarsh, Dan M. Harman and R.C.Y. Chin and has published in prestigious journals such as Physics Today, IEEE Transactions on Software Engineering and Applied Mathematics and Computation.

In The Last Decade

James R. McGraw

22 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
James R. McGraw 281 212 120 65 25 24 380
Corinne Ancourt 273 1.0× 178 0.8× 96 0.8× 61 0.9× 32 1.3× 17 334
Sheng Liang 70 0.2× 63 0.3× 286 2.4× 123 1.9× 101 4.0× 17 375
A.A. Jerraya 294 1.0× 268 1.3× 20 0.2× 10 0.2× 13 0.5× 14 412
Orlando Moreira 305 1.1× 253 1.2× 32 0.3× 14 0.2× 10 0.4× 40 397
Jukka Teuhola 36 0.1× 117 0.6× 167 1.4× 51 0.8× 33 1.3× 34 348
Frank C. Lin 134 0.5× 227 1.1× 25 0.2× 21 0.3× 80 3.2× 14 334
Mohamed Shalan 233 0.8× 145 0.7× 42 0.3× 36 0.6× 30 1.2× 28 339
Shin 234 0.8× 261 1.2× 19 0.2× 73 1.1× 14 0.6× 23 392
D.C. Cann 293 1.0× 233 1.1× 123 1.0× 60 0.9× 34 1.4× 20 347
Alexander Tiskin 204 0.7× 191 0.9× 110 0.9× 118 1.8× 38 1.5× 29 419

Countries citing papers authored by James R. McGraw

Since Specialization
Citations

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

Fields of papers citing papers by James R. McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. McGraw. 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 James R. McGraw. The network helps show where James R. McGraw may publish in the future.

Co-authorship network of co-authors of James R. McGraw

This figure shows the co-authorship network connecting the top 25 collaborators of James R. McGraw. A scholar is included among the top collaborators of James R. McGraw 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 James R. McGraw. James R. McGraw 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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