G.C. Patton
Impact in
- Software top 0.2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 5%
- VLSI and Analog Circuit Testing
Papers in
- Software 6
- Software Testing and Debugging Techniques 6
- Software Reliability and Analysis Research 4
-
- Web Application Security Vulnerabilities 1
- Software Engineering Research 1
- Co-authors
- Siddhartha R. Dalal (6 shared papers)David Cohen (3 shared papers)Michael L. Fredman (1 shared paper)N. Karunanithi (2 shared papers)Ashish Jain (1 shared paper)Christopher M. Lott (1 shared paper)Anubha Jain (1 shared paper)
- Journals
- IEEE Transactions on Software Engineering (1 paper)IEEE Software (1 paper)Lecture notes in computer science (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
G.C. Patton
6 papers receiving 1.5k citations
G.C. Patton's Hit Papers
Peers
Comparison fields: 5 of 59
- Software 1.5k
- Hardware and Architecture 273
- Information Systems 632
- Computer Networks and Communications 334
- Computational Theory and Mathematics 167
Countries citing papers authored by G.C. Patton
This map shows the geographic impact of G.C. Patton'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 G.C. Patton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.C. Patton more than expected).
Fields of papers citing papers by G.C. Patton
This network shows the impact of papers produced by G.C. Patton. 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 G.C. Patton. The network helps show where G.C. Patton may publish in the future.
Co-authors
The 8 scholars most cited alongside G.C. Patton, 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 | The AETG system: an approach to testing based on combinatorial design Hit paper breakdown → | 1997 | 819 |
| 2 | 1999 | 402 | |
| 3 | 1996 | 303 | |
| 4 | 2002 | 83 | |
| 5 | 2002 | 15 | |
| 6 | 2001 | 1 | |
| 7 | 1968 | 1 |
About G.C. Patton
G.C. Patton is a scholar working on Software, Information Systems, Hardware and Architecture, Control and Systems Engineering and Signal Processing, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (4 papers), VLSI and Analog Circuit Testing (3 papers), Web Application Security Vulnerabilities (1 paper), Software Engineering Research (1 paper), Embedded Systems Design Techniques (1 paper), Real-time simulation and control systems (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Software (1.5k citations), Hardware and Architecture (273 citations), Information Systems (632 citations), Computer Networks and Communications (334 citations) and Computational Theory and Mathematics (167 citations). G.C. Patton has collaborated with scholars based in United States. Frequent co-authors include Siddhartha R. Dalal, David Cohen, Michael L. Fredman, N. Karunanithi, Ashish Jain, Christopher M. Lott, Anubha Jain and Ashish Jain. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software, Lecture notes in computer science and Elsevier eBooks.
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.