Chanathip Namprempre
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Co-authors
- Mihir BellareGregory NevenTadayoshi KohnoMatthew N. DaileyMichel Abdalla⋆Jee Hea AnAlexandra BoldyrevaLars R. Knudsen
- Topics
- Cryptography and Data Security (6 papers)Cryptographic Implementations and Security (4 papers)User Authentication and Security Systems (3 papers)
- Journals
- IEEE Transactions on Information TheoryACM Transactions on Information and System SecurityJournal of Cryptology
- Partner nations
- ThailandUnited StatesSwitzerland
In The Last Decade
Chanathip Namprempre
11 papers receiving 406 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 384
- Information Systems 169
- Computer Networks and Communications 166
- Computer Vision and Pattern Recognition 118
- Signal Processing 42
Countries citing papers authored by Chanathip Namprempre
This map shows the geographic impact of Chanathip Namprempre'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 Chanathip Namprempre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanathip Namprempre more than expected).
Fields of papers citing papers by Chanathip Namprempre
This network shows the impact of papers produced by Chanathip Namprempre. 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 Chanathip Namprempre. The network helps show where Chanathip Namprempre may publish in the future.
Co-authorship network of co-authors of Chanathip Namprempre
This figure shows the co-authorship network connecting the top 25 collaborators of Chanathip Namprempre. A scholar is included among the top collaborators of Chanathip Namprempre 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 Chanathip Namprempre. Chanathip Namprempre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 210 | |
| 3 | 16 | |
| 4 | 103 | |
| 5 | 9 | |
| 6 | On the (im)possibility of blind message authentication codes | 4 |
| 7 | Unrestricted Aggregate Signatures. | 4 |
| 8 | 42 | |
| 9 | 14 | |
| 10 | 49 | |
| 11 | Implementing causal logging using OrbixWeb interception | 1 |
About Chanathip Namprempre
Chanathip Namprempre is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 11 papers that have together received 465 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Cryptographic Implementations and Security (4 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Artificial Intelligence (384 citations), Information Systems (169 citations) and Computer Networks and Communications (166 citations). Chanathip Namprempre has collaborated with scholars based in Thailand, United States and Switzerland. Frequent co-authors include Mihir Bellare, Gregory Neven, Tadayoshi Kohno, Matthew N. Dailey, Michel Abdalla⋆, Jee Hea An, Alexandra Boldyreva, Lars R. Knudsen, Jeremy B. Sussman and Keith Marzullo. Their work appears in journals such as IEEE Transactions on Information Theory, ACM Transactions on Information and System Security and Journal of Cryptology.
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.