Travis D. Breaux
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Sociology and Political Science top 2%
- Signal Processing top 2%
- Management Information Systems top 5%
- Co-authors
- Annie I. AntónJaspreet BhatiaMatthew W. VailJianwei NiuFlorian SchaubRocky SlavinThomas NortonMitra Bokaei Hosseini
- Topics
- Privacy, Security, and Data Protection (34 papers)Information and Cyber Security (34 papers)Software Engineering Research (33 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Travis D. Breaux
98 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 72
- Information Systems 1.2k
- Artificial Intelligence 809
- Sociology and Political Science 788
- Signal Processing 265
- Management Information Systems 225
Countries citing papers authored by Travis D. Breaux
This map shows the geographic impact of Travis D. Breaux'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 Travis D. Breaux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis D. Breaux more than expected).
Fields of papers citing papers by Travis D. Breaux
This network shows the impact of papers produced by Travis D. Breaux. 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 Travis D. Breaux. The network helps show where Travis D. Breaux may publish in the future.
Co-authorship network of co-authors of Travis D. Breaux
This figure shows the co-authorship network connecting the top 25 collaborators of Travis D. Breaux. A scholar is included among the top collaborators of Travis D. Breaux 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 Travis D. Breaux. Travis D. Breaux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | Proceedings of the 28th IEEE International Requirements Engineering Conference, RE’20 | 17 |
| 8 | 1 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | Improving the Specification and Analysis of Privacy Policies: The RSLingo4Privacy Approach | 2 |
| 12 | Lexical similarity of information type hypernyms, meronyms and synonyms in privacy policies | 11 |
| 13 | 23 | |
| 14 | 11 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 38 | |
| 18 | An algorithm to generate compliance monitors from regulations | 3 |
| 19 | 58 | |
| 20 | Requirements for a policy-enforceable agent architecture | 1 |
About Travis D. Breaux
Travis D. Breaux is a scholar working on Information Systems, Software and Artificial Intelligence, having authored 100 papers that have together received 1.8k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (34 papers), Information and Cyber Security (34 papers) and Software Engineering Research (33 papers). The work is most often cited by research in Information Systems (1.2k citations), Software (137 citations) and Management Information Systems (225 citations). Travis D. Breaux has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Annie I. Antón, Jaspreet Bhatia, Matthew W. Vail, Jianwei Niu, Florian Schaub, Rocky Slavin, Thomas Norton, Mitra Bokaei Hosseini, Xiaoyin Wang and Ashwini K. Rao. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Software.
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.