Peter Schöll
- Artificial Intelligence top 5%
- Cryptography and Data Security 11
- Cryptographic Implementations and Security 3
- Coding theory and cryptography 2
- Otorhinolaryngology top 10%
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- Complexity and Algorithms in Graphs 7
- Information Systems top 10%
- Cryptography and Residue Arithmetic 4
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- Cancer and Skin Lesions 2
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- Health, Medicine and Society 2
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- Metastasis and carcinoma case studies 2
Peter Schöll
29 papers receiving 346 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 279
- Otorhinolaryngology 26
- Computational Theory and Mathematics 86
- Information Systems 74
- Computer Networks and Communications 38
Countries citing papers authored by Peter Schöll
This map shows the geographic impact of Peter Schöll'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 Peter Schöll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schöll more than expected).
Fields of papers citing papers by Peter Schöll
This network shows the impact of papers produced by Peter Schöll. 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 Peter Schöll. The network helps show where Peter Schöll may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Schöll, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 7 | |
| 6 | Mac'n'Cheese: Zero-Knowledge Proofs for Boolean and Arithmetic Circuits with Nested Disjunctions | 2020 | 1 |
| 7 | 2020 | 11 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 43 | |
| 10 | 2016 | 136 | |
| 11 | Cryptography and Coding - IMACC 2011 | 2011 | 5 |
| 12 | 2010 | 10 | |
| 13 | 2010 | 1 | |
| 14 | GMD-Robots | 2001 | 1 |
| 15 | Quality Management for Mobile Robot Development | 2000 | 3 |
| 16 | Tools for Assessing RoboCup Behavior | 2000 | 1 |
| 17 | The Uses of Impersonation. | 1986 | 1 |
| 18 | 1985 | 9 | |
| 19 | Tympanostomy tubes and liquids--an in vitro study. | 1984 | 30 |
| 20 | 1972 | 1 |
About Peter Schöll
Peter Schöll is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, General Social Sciences, Computer Vision and Pattern Recognition and Otorhinolaryngology, having authored 29 papers that have together received 369 indexed citations. Recurring topics across this work include Cryptography and Data Security (11 papers), Complexity and Algorithms in Graphs (7 papers), Cryptography and Residue Arithmetic (4 papers), Cryptographic Implementations and Security (3 papers), Coding theory and cryptography (2 papers), Cancer and Skin Lesions (2 papers), Health, Medicine and Society (2 papers) and Metastasis and carcinoma case studies (2 papers). The work is most often cited by research in Artificial Intelligence (279 citations), Otorhinolaryngology (26 citations), Computational Theory and Mathematics (86 citations), Information Systems (74 citations) and Computer Networks and Communications (38 citations). Peter Schöll has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Marcel Keller, Emmanuela Orsini, Nigel P. Smart, Lisa Kohl, Yuval Ishai, Niv Gilboa, Geoffroy Couteau, Peter Rindal, Lorenzo Grassi and Dragos Rotaru. Their work appears in journals such as Journal of Cryptology, Otolaryngology, MTZ - Motortechnische Zeitschrift, Studies in American fiction and Information and Computation.
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.