Erik Dahmen
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Johannes BuchmannDaniel J. BernsteinAlexander GerschenkronAndreas HülsingMarkus RückertErik DahménChristof PaarThomas Eisenbarth
- Topics
- Coding theory and cryptography (2 papers)Cryptography and Data Security (2 papers)Hermeneutics and Narrative Identity (2 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- The Review of Economics and StatisticsIEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Erik Dahmen
7 papers receiving 397 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 324
- Information Systems 101
- Computer Vision and Pattern Recognition 100
- Computational Theory and Mathematics 77
- Computer Networks and Communications 64
Countries citing papers authored by Erik Dahmen
This map shows the geographic impact of Erik Dahmen'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 Erik Dahmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Dahmen more than expected).
Fields of papers citing papers by Erik Dahmen
This network shows the impact of papers produced by Erik Dahmen. 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 Erik Dahmen. The network helps show where Erik Dahmen may publish in the future.
Co-authorship network of co-authors of Erik Dahmen
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Dahmen. A scholar is included among the top collaborators of Erik Dahmen 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 Erik Dahmen. Erik Dahmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Efficient Hash-Based Signatures on Embedded Devices | 4 |
| 2 | 22 | |
| 3 | 361 | |
| 4 | 1 | |
| 5 | Efficient Left-to-Right Multi-Exponentiations | 1 |
| 6 | 4 | |
| 7 | 37 |
About Erik Dahmen
Erik Dahmen is a scholar working on Philosophy, General Health Professions and Artificial Intelligence, having authored 7 papers that have together received 430 indexed citations. Recurring topics across this work include Coding theory and cryptography (2 papers), Cryptography and Data Security (2 papers) and Hermeneutics and Narrative Identity (2 papers). The work is most often cited by research in Artificial Intelligence (324 citations), Computer Vision and Pattern Recognition (100 citations) and Computational Theory and Mathematics (77 citations). Erik Dahmen has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Johannes Buchmann, Daniel J. Bernstein, Alexander Gerschenkron, Andreas Hülsing, Markus Rückert, Erik Dahmén, Christof Paar, Thomas Eisenbarth, Katsuyuki Okeya and Tsuyoshi Takagi. Their work appears in journals such as The Review of Economics and Statistics, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and CERN Document Server (European Organization for Nuclear Research).
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.