James Miller

47 total papers · 3.9k total citations
30 papers, 2.7k citations indexed

About

James Miller is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, James Miller has authored 30 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 11 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in James Miller's work include Advanced Malware Detection Techniques (9 papers), Web Application Security Vulnerabilities (4 papers) and Software Testing and Debugging Techniques (4 papers). James Miller is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Web Application Security Vulnerabilities (4 papers) and Software Testing and Debugging Techniques (4 papers). James Miller collaborates with scholars based in Canada, United States and United Kingdom. James Miller's co-authors include Philip Kortum, Aaron Bangor, Scott Dick, Samuel Saunders, John B. Mulliken, Gary F. Rogers, Fraser MacDonald, Murray Wood, Marc Roper and John W. Daly and has published in prestigious journals such as Chemical Physics Letters, Plastic & Reconstructive Surgery and IEEE Transactions on Software Engineering.

In The Last Decade

James Miller

30 papers receiving 2.6k citations

Hit Papers

Determining what individu... 2009 2026 2014 2020 2009 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
James Miller 688 615 436 385 237 30 2.7k
Jeff Sauro 396 0.6× 791 1.3× 311 0.7× 225 0.6× 219 0.9× 31 2.2k
Jörg Thomaschewski 525 0.8× 715 1.2× 303 0.7× 298 0.8× 232 1.0× 82 2.3k
Martin Schrepp 418 0.6× 770 1.3× 318 0.7× 381 1.0× 276 1.2× 82 2.2k
Thomas S. Tullis 435 0.6× 765 1.2× 286 0.7× 172 0.4× 247 1.0× 36 2.0k
Rolf Molich 894 1.3× 1.5k 2.5× 324 0.7× 304 0.8× 461 1.9× 31 2.8k
Stephen Draper 553 0.8× 977 1.6× 308 0.7× 428 1.1× 366 1.5× 79 3.7k
Stuart Card 647 0.9× 668 1.1× 451 1.0× 407 1.1× 360 1.5× 26 2.2k
Fred Brooks 1.1k 1.6× 291 0.5× 278 0.6× 534 1.4× 295 1.2× 42 3.2k
Hugh Beyer 818 1.2× 1.7k 2.7× 335 0.8× 378 1.0× 625 2.6× 29 3.4k
Jacek Gwizdka 932 1.4× 472 0.8× 285 0.7× 436 1.1× 435 1.8× 119 2.5k

Countries citing papers authored by James Miller

Since Specialization
Citations

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

Fields of papers citing papers by James Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Miller

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