Byron J. Williams

37 total papers · 613 total citations
31 papers, 427 citations indexed

About

Byron J. Williams is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Byron J. Williams has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 17 papers in Software and 13 papers in Signal Processing. Recurrent topics in Byron J. Williams's work include Software Engineering Research (24 papers), Software Reliability and Analysis Research (16 papers) and Advanced Malware Detection Techniques (13 papers). Byron J. Williams is often cited by papers focused on Software Engineering Research (24 papers), Software Reliability and Analysis Research (16 papers) and Advanced Malware Detection Techniques (13 papers). Byron J. Williams collaborates with scholars based in United States, Canada and New Zealand. Byron J. Williams's co-authors include Jeffrey C. Carver, Kazi Zakia Sultana, Edward B. Allen, Rayford B. Vaughn, Muhammad Nadeem, Ajay Bandi, Clemente Izurieta, Gary L. Bradshaw, Amiangshu Bosu and Sara Rampazzi and has published in prestigious journals such as IEEE Access, Information and Software Technology and Empirical Software Engineering.

In The Last Decade

Byron J. Williams

30 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
Byron J. Williams 353 176 109 100 81 31 427
Emil Alégroth 319 0.9× 291 1.7× 112 1.0× 47 0.5× 73 0.9× 50 460
Mohammad Masudur Rahman 343 1.0× 134 0.8× 76 0.7× 119 1.2× 48 0.6× 32 389
Nuthan Munaiah 339 1.0× 140 0.8× 112 1.0× 56 0.6× 107 1.3× 17 400
Vincenzo Ferme 354 1.0× 232 1.3× 197 1.8× 91 0.9× 45 0.6× 24 423
Sultan Alyahya 297 0.8× 161 0.9× 138 1.3× 127 1.3× 34 0.4× 36 420
Roberto Minelli 338 1.0× 97 0.6× 86 0.8× 82 0.8× 53 0.7× 31 449
Patrick Morrison 359 1.0× 138 0.8× 87 0.8× 90 0.9× 120 1.5× 29 444
Martín Nordio 288 0.8× 158 0.9× 81 0.7× 70 0.7× 24 0.3× 22 388
Mário Jino 304 0.9× 260 1.5× 159 1.5× 85 0.8× 84 1.0× 68 472
Péter Hegedűs 405 1.1× 256 1.5× 135 1.2× 96 1.0× 92 1.1× 47 459

Countries citing papers authored by Byron J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Byron J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byron J. Williams. 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 Byron J. Williams. The network helps show where Byron J. Williams may publish in the future.

Co-authorship network of co-authors of Byron J. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Byron J. Williams. A scholar is included among the top collaborators of Byron J. Williams 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 Byron J. Williams. Byron J. Williams 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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