Thomas Shrimpton
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kevin P. DyerThomas RistenpartScott E. CoullAditya AkellaDavid F. ClaytonYevgeniy DodisMarkus JakobssonPhilip MacKenzie
- Topics
- Internet Traffic Analysis and Secure E-voting (9 papers)Advanced Malware Detection Techniques (9 papers)Cryptography and Data Security (7 papers)
- Journals
- Lecture notes in computer scienceJournal of CryptologyUSENIX Security Symposium
- Partner nations
- United StatesSwitzerland
In The Last Decade
Thomas Shrimpton
26 papers receiving 603 citations
Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 554
- Computer Networks and Communications 371
- Signal Processing 227
- Information Systems 165
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Thomas Shrimpton
This map shows the geographic impact of Thomas Shrimpton'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 Thomas Shrimpton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Shrimpton more than expected).
Fields of papers citing papers by Thomas Shrimpton
This network shows the impact of papers produced by Thomas Shrimpton. 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 Thomas Shrimpton. The network helps show where Thomas Shrimpton may publish in the future.
Co-authorship network of co-authors of Thomas Shrimpton
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Shrimpton. A scholar is included among the top collaborators of Thomas Shrimpton 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 Thomas Shrimpton. Thomas Shrimpton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | Authenticall: efficient identity and content authentication for phone calls | 17 |
| 11 | 11 | |
| 12 | Marionette: a programmable network-traffic obfuscation system | 22 |
| 13 | 64 | |
| 14 | LibFTE: a toolkit for constructing practical, format-abiding encryption schemes | 12 |
| 15 | Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Failbreakdown → | 289 |
| 16 | 2 | |
| 17 | Seven-Property-Preserving Iterated Hashing: ROX | 16 |
| 18 | 1 | |
| 19 | 6 | |
| 20 | CONTAINER TERMINALS-THE RELATIONSHIP BETWEEN DWELL TIME AND THROUGHPUT | 1 |
About Thomas Shrimpton
Thomas Shrimpton is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 28 papers that have together received 632 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (9 papers), Advanced Malware Detection Techniques (9 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Signal Processing (227 citations), Artificial Intelligence (554 citations) and Computer Networks and Communications (371 citations). Thomas Shrimpton has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Kevin P. Dyer, Thomas Ristenpart, Scott E. Coull, Aditya Akella, David F. Clayton, Yevgeniy Dodis, Markus Jakobsson, Philip MacKenzie, Phillip Rogaway and John Black. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology and USENIX Security Symposium.
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.