Fabian Boemer
- Artificial Intelligence top 10%
- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 6
- Stochastic Gradient Optimization Techniques 1
- Cryptographic Implementations and Security 1
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- Blockchain Technology Applications and Security 1
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- Complexity and Algorithms in Graphs 3
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- Sparse and Compressive Sensing Techniques 1
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- Access Control and Trust 1
- Co-authors
- Rosario CammarotaYixing LaoDaniel DemmlerThomas SchneiderHossein YalameEdward RatnerAmaury LendasseAlexander Lyashevsky
- Journals
- Neurocomputing (1 paper)IEEE Transactions on Computers (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Fabian Boemer
8 papers receiving 212 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 174
- Health Informatics 4
- Computer Vision and Pattern Recognition 43
- Hardware and Architecture 14
- Information Systems 35
Countries citing papers authored by Fabian Boemer
This map shows the geographic impact of Fabian Boemer'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 Fabian Boemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Boemer more than expected).
Fields of papers citing papers by Fabian Boemer
This network shows the impact of papers produced by Fabian Boemer. 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 Fabian Boemer. The network helps show where Fabian Boemer may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Fabian Boemer, 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 | 2022 | 23 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 7 | |
| 4 | 2020 | 19 | |
| 5 | MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract) | 2020 | 1 |
| 6 | 2020 | 38 | |
| 7 | 2019 | 84 | |
| 8 | 2017 | 25 |
About Fabian Boemer
Fabian Boemer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computational Mechanics, having authored 8 papers that have together received 218 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (6 papers), Complexity and Algorithms in Graphs (3 papers), Sparse and Compressive Sensing Techniques (1 paper), Stochastic Gradient Optimization Techniques (1 paper), Cryptographic Implementations and Security (1 paper), Blockchain Technology Applications and Security (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Artificial Intelligence (174 citations), Health Informatics (4 citations) and Computer Vision and Pattern Recognition (43 citations). Fabian Boemer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rosario Cammarota, Yixing Lao, Daniel Demmler, Thomas Schneider, Hossein Yalame, Edward Ratner, Amaury Lendasse, Alexander Lyashevsky, Mohannad Ibrahim and A.V. Titov. Their work appears in journals such as Neurocomputing, IEEE Transactions on Computers and TUbilio (Technical University of Darmstadt).
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.