Axel Feldmann
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Privacy-Preserving Technologies in Data
- Coding theory and cryptography
Papers in
-
- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 1
-
- Distributed and Parallel Computing Systems 2
- Co-authors
- Daniel Sánchez (7 shared papers)Nikola Samardzic (3 shared papers)Srinivas Devadas (3 shared papers)Ronald Dreslinski (1 shared paper)Karim Eldefrawy (1 shared paper)Chris Peikert (2 shared papers)Nicholas Genise (1 shared paper)Mohammad Bakhshalipour (1 shared paper)
- Journals
- IEEE Micro (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Axel Feldmann
6 papers receiving 327 citations
Axel Feldmann's Hit Papers
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 78
- Artificial Intelligence 234
- Information Systems 110
- Computer Networks and Communications 83
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Axel Feldmann
This map shows the geographic impact of Axel Feldmann'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 Axel Feldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Feldmann more than expected).
Fields of papers citing papers by Axel Feldmann
This network shows the impact of papers produced by Axel Feldmann. 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 Axel Feldmann. The network helps show where Axel Feldmann may publish in the future.
Co-authors
The 11 scholars most cited alongside Axel Feldmann, 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 | F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption Hit paper breakdown → | 2021 | 172 |
| 2 | CraterLake Hit paper breakdown → | 2022 | 117 |
| 3 | 2020 | 42 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 0 |
About Axel Feldmann
Axel Feldmann is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Cryptography and Data Security (3 papers), Cryptography and Residue Arithmetic (2 papers), Cryptographic Implementations and Security (2 papers), Distributed and Parallel Computing Systems (2 papers), Matrix Theory and Algorithms (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (78 citations), Artificial Intelligence (234 citations), Information Systems (110 citations), Computer Networks and Communications (83 citations) and Computer Vision and Pattern Recognition (53 citations). Axel Feldmann has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel Sánchez, Nikola Samardzic, Srinivas Devadas, Ronald Dreslinski, Karim Eldefrawy, Chris Peikert, Nicholas Genise, Mohammad Bakhshalipour, Nathan Beckmann and Joel Emer. Their work appears in journals such as IEEE Micro and DSpace@MIT (Massachusetts Institute of Technology).
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.