Matthew Wilkes

36 total papers · 797 total citations
16 papers, 489 citations indexed

About

Matthew Wilkes is a scholar working on Computer Networks and Communications, Computer Science Applications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Matthew Wilkes has authored 16 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Computer Science Applications and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Matthew Wilkes's work include Scheduling and Optimization Algorithms (2 papers), Security and Verification in Computing (1 paper) and Software Reliability and Analysis Research (1 paper). Matthew Wilkes is often cited by papers focused on Scheduling and Optimization Algorithms (2 papers), Security and Verification in Computing (1 paper) and Software Reliability and Analysis Research (1 paper). Matthew Wilkes collaborates with scholars based in United Kingdom, United States and New Zealand. Matthew Wilkes's co-authors include C. Strachey, Matt Kaufmann, Andrew L. Freedman, Sarah E Lamb and Daniel Cury Ribeiro and has published in prestigious journals such as Communications of the ACM, Computer and BMJ Open.

In The Last Decade

Matthew Wilkes

12 papers receiving 461 citations

Hit Papers

The Art of Computer Progr... 1974 2026 1991 2008 1974 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matthew Wilkes 234 177 90 82 60 16 489
Udi Manber 129 0.6× 190 1.1× 100 1.1× 101 1.2× 51 0.8× 5 454
Krzysztof Pietrzak 330 1.4× 92 0.5× 46 0.5× 118 1.4× 87 1.4× 21 429
Alan Siegel 262 1.1× 221 1.2× 50 0.6× 230 2.8× 61 1.0× 34 521
Danièle Gardy 179 0.8× 182 1.0× 28 0.3× 93 1.1× 19 0.3× 32 456
Theis Rauhe 246 1.1× 141 0.8× 64 0.7× 219 2.7× 46 0.8× 26 423
Chin-Long Chen 254 1.1× 139 0.8× 95 1.1× 88 1.1× 24 0.4× 18 431
Raymond Greenlaw 119 0.5× 121 0.7× 28 0.3× 201 2.5× 43 0.7× 42 434
Jacobo Valdes 100 0.4× 183 1.0× 92 1.0× 224 2.7× 29 0.5× 9 512
Thomas C. Bartee 174 0.7× 72 0.4× 55 0.6× 144 1.8× 20 0.3× 24 408
Desh Ranjan 182 0.8× 185 1.0× 21 0.2× 187 2.3× 42 0.7× 30 500

Countries citing papers authored by Matthew Wilkes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Wilkes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Wilkes

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