James Newsome

43 total papers · 5.0k total citations
25 papers, 2.5k citations indexed

About

James Newsome is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, James Newsome has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 14 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in James Newsome's work include Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (14 papers) and Network Security and Intrusion Detection (9 papers). James Newsome is often cited by papers focused on Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (14 papers) and Network Security and Intrusion Detection (9 papers). James Newsome collaborates with scholars based in United States and Canada. James Newsome's co-authors include Dawn Song, Adrian Perrig, Elaine Shi, David Brumley, Zhenkai Liang, Jonathan M. McCune, Stephen McCamant, Jason Franklin, Juan Caballero and Yanlin Li and has published in prestigious journals such as Journal of Neuroscience, Journal of Biomedical Materials Research Part A and ACM SIGPLAN Notices.

In The Last Decade

James Newsome

24 papers receiving 2.3k citations

Hit Papers

The sybil attack in senso... 2004 2026 2011 2018 2004 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
James Newsome 1.7k 1.1k 1.1k 680 331 25 2.5k
Anil Somayaji 2.4k 1.4× 1.7k 1.6× 2.1k 2.0× 1.0k 1.5× 247 0.7× 41 3.6k
Kehuan Zhang 808 0.5× 1.1k 1.0× 1.3k 1.2× 1.0k 1.5× 201 0.6× 56 2.1k
Zhenkai Liang 1.1k 0.7× 1.7k 1.6× 1.8k 1.7× 1.2k 1.7× 542 1.6× 86 2.7k
Yan Chen 1.5k 0.9× 740 0.7× 1.3k 1.2× 934 1.4× 401 1.2× 86 2.4k
Robert K. Cunningham 1.4k 0.9× 1.0k 1.0× 775 0.7× 651 1.0× 96 0.3× 40 1.9k
Galen Hunt 1.6k 0.9× 1.4k 1.3× 628 0.6× 1.1k 1.5× 213 0.6× 47 2.5k
Earlence Fernandes 792 0.5× 1.5k 1.4× 1.2k 1.1× 667 1.0× 136 0.4× 40 2.5k
David Lie 825 0.5× 1.2k 1.2× 1.2k 1.2× 1.1k 1.6× 543 1.6× 65 2.2k
William G. J. Halfond 1.4k 0.8× 1.1k 1.0× 1.1k 1.1× 2.2k 3.3× 909 2.7× 81 3.6k
Brendan Dolan-Gavitt 497 0.3× 1.2k 1.1× 887 0.8× 755 1.1× 398 1.2× 33 2.0k

Countries citing papers authored by James Newsome

Since Specialization
Citations

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

Fields of papers citing papers by James Newsome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Newsome

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