Tom Ridge
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Logic, programming, and type systems 9
- Security and Verification in Computing 4
-
- Formal Methods in Verification 6
- Computability, Logic, AI Algorithms 2
- Co-authors
- Peter Sewell (7 shared papers)Scott Owens (4 shared papers)Magnus O. Myreen (2 shared papers)Francesco Zappa Nardelli (2 shared papers)Susmit Sarkar (2 shared papers)Jade Alglave (2 shared papers)J. Margetson (1 shared paper)Dominic P. Mulligan (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Journal of the ACM (1 paper)Lecture notes in computer science (6 papers)UCL Discovery (University College London) (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomAustraliaFrance
In The Last Decade
Tom Ridge
15 papers receiving 358 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 190
- Software 37
- Computer Networks and Communications 200
- Artificial Intelligence 266
- Computational Theory and Mathematics 109
Countries citing papers authored by Tom Ridge
This map shows the geographic impact of Tom Ridge'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 Tom Ridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ridge more than expected).
Fields of papers citing papers by Tom Ridge
This network shows the impact of papers produced by Tom Ridge. 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 Tom Ridge. The network helps show where Tom Ridge may publish in the future.
Co-authors
The 16 scholars most cited alongside Tom Ridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 113 | |
| 2 | 2014 | 54 | |
| 3 | 2015 | 36 | |
| 4 | 2010 | 35 | |
| 5 | 2005 | 33 | |
| 6 | 2009 | 31 | |
| 7 | 2011 | 21 | |
| 8 | 2014 | 13 | |
| 9 | 2008 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2007 | 8 | |
| 12 | A Mechanically Verified, Efficient, Sound and Complete Theorem Prover For First Order Logic. | 2004 | 7 |
| 13 | 2014 | 6 | |
| 14 | The critical role of hospitals involved in national bioterrorism preparedness. | 2002 | 2 |
| 15 | 2017 | 1 | |
| 16 | 2019 | 0 | |
| 17 | Patrolling Cyberspace: Lessons Learned from a Lifetime in Data Security | 2006 | 0 |
About Tom Ridge
Tom Ridge is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Software and Computer Networks and Communications, having authored 17 papers that have together received 383 indexed citations. Recurring topics across this work include Logic, programming, and type systems (9 papers), Software Testing and Debugging Techniques (6 papers), Formal Methods in Verification (6 papers), Parallel Computing and Optimization Techniques (5 papers), Security and Verification in Computing (4 papers), Distributed systems and fault tolerance (4 papers), Embedded Systems Design Techniques (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (190 citations), Software (37 citations), Computer Networks and Communications (200 citations), Artificial Intelligence (266 citations) and Computational Theory and Mathematics (109 citations). Tom Ridge has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Peter Sewell, Scott Owens, Magnus O. Myreen, Francesco Zappa Nardelli, Susmit Sarkar, Jade Alglave, J. Margetson, Dominic P. Mulligan, Kathryn E. Gray and Anil Madhavapeddy. Their work appears in journals such as ACM SIGPLAN Notices, Journal of the ACM, Lecture notes in computer science, UCL Discovery (University College London) and PubMed.
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.