Carsten Baum
Impact in
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- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
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- Planetary Science and Exploration
- Astro and Planetary Science
Papers in
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- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 3
- Machine Learning and Algorithms 1
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- Numerical Methods and Algorithms 2
- Complexity and Algorithms in Graphs 1
- Formal Methods in Verification 1
- Co-authors
- Peter Schöll (4 shared papers)Diego F. Aranha (1 shared paper)Kristian Gjøsteen (1 shared paper)C. H. van der Bogert (1 shared paper)Csilla Orgel (1 shared paper)H. Hiesinger (1 shared paper)Greg Michael (1 shared paper)Nigel P. Smart (1 shared paper)
- Journals
- Designs Codes and Cryptography (1 paper)Journal of Geophysical Research Planets (1 paper)IACR Cryptology ePrint Archive (1 paper)Scopus (Elsevier) (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)
- Partner nations
- DenmarkUnited StatesNorway
In The Last Decade
Carsten Baum
7 papers receiving 24 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 16
- Astronomy and Astrophysics 6
- Information Systems 8
- Computational Theory and Mathematics 5
- Atmospheric Science 4
Countries citing papers authored by Carsten Baum
This map shows the geographic impact of Carsten Baum'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 Carsten Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Baum more than expected).
Fields of papers citing papers by Carsten Baum
This network shows the impact of papers produced by Carsten Baum. 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 Carsten Baum. The network helps show where Carsten Baum may publish in the future.
Co-authors
The 19 scholars most cited alongside Carsten Baum, 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 | 2021 | 7 | |
| 2 | 2021 | 6 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2023 | 1 | |
| 6 | Mac'n'Cheese: Zero-Knowledge Proofs for Boolean and Arithmetic Circuits with Nested Disjunctions | 2020 | 1 |
| 7 | 2024 | 1 |
About Carsten Baum
Carsten Baum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Astronomy and Astrophysics and Information Systems, having authored 7 papers that have together received 25 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (3 papers), Numerical Methods and Algorithms (2 papers), Security in Wireless Sensor Networks (1 paper), Complexity and Algorithms in Graphs (1 paper), Distributed systems and fault tolerance (1 paper), Machine Learning and Algorithms (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Artificial Intelligence (16 citations), Astronomy and Astrophysics (6 citations), Information Systems (8 citations), Computational Theory and Mathematics (5 citations) and Atmospheric Science (4 citations). Carsten Baum has collaborated with scholars based in Denmark, United States and Norway. Frequent co-authors include Peter Schöll, Diego F. Aranha, Kristian Gjøsteen, C. H. van der Bogert, Csilla Orgel, H. Hiesinger, Greg Michael, Nigel P. Smart, Emmanuela Orsini and Alex J. Malozemoff. Their work appears in journals such as Designs Codes and Cryptography, Journal of Geophysical Research Planets, IACR Cryptology ePrint Archive, Scopus (Elsevier) 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.