Joël Alwen
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Chris PeikertJeremiah BlockiKrzysztof PietrzakDaniel WichsStephan KrennIlia MarkovKaren KleinMichael Walter
- Topics
- Cryptography and Data Security (7 papers)Cryptographic Implementations and Security (5 papers)Security in Wireless Sensor Networks (4 papers)
- Journals
- Theory of Computing SystemsRadboud Repository (Radboud University)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Joël Alwen
11 papers receiving 309 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 291
- Information Systems 123
- Computational Theory and Mathematics 123
- Computer Networks and Communications 57
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Joël Alwen
This map shows the geographic impact of Joël Alwen'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 Joël Alwen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Alwen more than expected).
Fields of papers citing papers by Joël Alwen
This network shows the impact of papers produced by Joël Alwen. 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 Joël Alwen. The network helps show where Joël Alwen may publish in the future.
Co-authorship network of co-authors of Joël Alwen
This figure shows the co-authorship network connecting the top 25 collaborators of Joël Alwen. A scholar is included among the top collaborators of Joël Alwen 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 Joël Alwen. Joël Alwen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | Learning with Rounding, Revisited - New Reduction, Properties and Applications. | 14 |
| 10 | 184 | |
| 11 | 64 |
About Joël Alwen
Joël Alwen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 11 papers that have together received 322 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Cryptographic Implementations and Security (5 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Artificial Intelligence (291 citations), Computational Theory and Mathematics (123 citations) and Information Systems (123 citations). Joël Alwen has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Chris Peikert, Jeremiah Blocki, Krzysztof Pietrzak, Daniel Wichs, Stephan Krenn, Ilia Markov, Karen Klein, Michael Walter, Jakob Nordström and Eike Kiltz. Their work appears in journals such as Theory of Computing Systems, Radboud Repository (Radboud University) and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
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.