Phillipp Schoppmann
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Cryptography and Data Security 11
- Privacy-Preserving Technologies in Data 8
- Stochastic Gradient Optimization Techniques 3
- Internet Traffic Analysis and Secure E-voting 1
- Cryptographic Implementations and Security 1
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- Distributed systems and fault tolerance 2
- Distributed Sensor Networks and Detection Algorithms 1
- Co-authors
- Mariana RaykovaAdrià GascónBorja BalleSamee ZahurJack DoernerDavid EvansMartin LablansBenny Pinkas
- Journals
- Bioinformatics (1 paper)SHILAP Revista de lepidopterología (2 papers)Studies in health technology and informatics (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Phillipp Schoppmann
11 papers receiving 180 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 171
- Health Informatics 2
- Information Systems 30
- Computer Science Applications 7
- Computational Theory and Mathematics 19
Countries citing papers authored by Phillipp Schoppmann
This map shows the geographic impact of Phillipp Schoppmann'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 Phillipp Schoppmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillipp Schoppmann more than expected).
Fields of papers citing papers by Phillipp Schoppmann
This network shows the impact of papers produced by Phillipp Schoppmann. 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 Phillipp Schoppmann. The network helps show where Phillipp Schoppmann may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Phillipp Schoppmann, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 13 | |
| 11 | 2017 | 105 |
About Phillipp Schoppmann
Phillipp Schoppmann is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Management Science and Operations Research and Computational Theory and Mathematics, having authored 11 papers that have together received 189 indexed citations. Recurring topics across this work include Cryptography and Data Security (11 papers), Privacy-Preserving Technologies in Data (8 papers), Stochastic Gradient Optimization Techniques (3 papers), Distributed systems and fault tolerance (2 papers), Complexity and Algorithms in Graphs (1 paper), Distributed Sensor Networks and Detection Algorithms (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Artificial Intelligence (171 citations), Health Informatics (2 citations), Information Systems (30 citations), Computer Science Applications (7 citations) and Computational Theory and Mathematics (19 citations). Phillipp Schoppmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mariana Raykova, Adrià Gascón, Borja Balle, Samee Zahur, Jack Doerner, David Evans, Martin Lablans, Benny Pinkas, Stefan Katzenbeisser and Kay Hamacher. Their work appears in journals such as Bioinformatics, SHILAP Revista de lepidopterología, Studies in health technology and informatics, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and Proceedings on Privacy Enhancing Technologies.
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.