Jack W. Davidson

5.2k citations
157 papers · 3.2k · h-index 32

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 1%
    • Software Testing and Debugging Techniques

Papers in

Jack W. Davidson

155 papers receiving 3.0k citations

Peers

Jack W. Davidson
Comparison fields: 5 of 67
  • Hardware and Architecture 2.0k
  • Software 443
  • Signal Processing 781
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 1.5k
Replace Keith D. Cooper with:
Keith D. Cooper United States
Koen De Bosschere Belgium
Peter F. Sweeney United States
David Grove United States
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Citations per field
00.5×3.9×
Keith D. Cooper · 1×
Citations per year

Countries citing papers authored by Jack W. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Jack W. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack W. Davidson. 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 Jack W. Davidson. The network helps show where Jack W. Davidson may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack W. Davidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack W. Davidson Line = papers co-authored together Jack W. Davidson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012173
2
N-variant systems: a secretless framework for security through diversity
2006165
3 1988133
4 2004128
5 2002119
6 1988112
7 200093
8 200493
9 198088
10 198487
11 200671
12 200369
13 200360
14 199460
15 198857
16 200752
17 200952
18 200851
19 200151
20 200351

About Jack W. Davidson

Jack W. Davidson is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Information Systems, having authored 157 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (87 papers), Embedded Systems Design Techniques (44 papers), Advanced Malware Detection Techniques (42 papers), Security and Verification in Computing (39 papers), Software Testing and Debugging Techniques (23 papers), Advanced Data Storage Technologies (20 papers), Logic, programming, and type systems (19 papers) and Distributed and Parallel Computing Systems (14 papers). The work is most often cited by research in Hardware and Architecture (2.0k citations), Software (443 citations), Signal Processing (781 citations), Computer Networks and Communications (1.3k citations) and Artificial Intelligence (1.5k citations). Jack W. Davidson has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Jason D. Hiser, Manuel E. Benitez, Christopher W. Fraser, David Whalley, Anh Nguyen‐Tuong, Sanjay Jinturkar, John Knight, Bruce R. Childers, Prasad A. Kulkarni and Mary Lou Soffa. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, Communications of the ACM, IEEE Security & Privacy and ACM Transactions on Embedded Computing Systems.

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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