Marcel Keller
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Cryptographic Implementations and Security
- Natural Language Processing Techniques
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- Complexity and Algorithms in Graphs
Papers in
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- Complexity and Algorithms in Graphs 4
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- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 2
- Cryptographic Implementations and Security 1
- Internet Traffic Analysis and Secure E-voting 1
- Co-authors
- Peter SchöllEmmanuela OrsiniNigel P. SmartMarc–André KaufholdMarkus BayerChristian ReuterBjörn BuchholdToshinori Araki
- Journals
- International Journal of Machine Learning and Cybernetics (1 paper)Journal of Cryptology (1 paper)GigaScience (1 paper)Lecture notes in computer science (1 paper)Bristol Research (University of Bristol) (1 paper)
- Partner nations
- AustraliaUnited KingdomDenmark
In The Last Decade
Marcel Keller
9 papers receiving 282 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 260
- Computational Theory and Mathematics 72
- Health Informatics 5
- Information Systems 61
- Computer Networks and Communications 30
Countries citing papers authored by Marcel Keller
This map shows the geographic impact of Marcel Keller'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 Marcel Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Keller more than expected).
Fields of papers citing papers by Marcel Keller
This network shows the impact of papers produced by Marcel Keller. 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 Marcel Keller. The network helps show where Marcel Keller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcel Keller, 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 | 7 | |
| 2 | 2022 | 73 | |
| 3 | 2022 | 0 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 4 | |
| 7 | 2016 | 136 | |
| 8 | 2013 | 41 | |
| 9 | 2013 | 5 | |
| 10 | Information Theoretic Security - ICITS 2012 | 2012 | 2 |
About Marcel Keller
Marcel Keller is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Complexity and Algorithms in Graphs (4 papers), Blockchain Technology Applications and Security (2 papers), Privacy-Preserving Technologies in Data (2 papers), Distributed systems and fault tolerance (1 paper), Cryptographic Implementations and Security (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (260 citations), Computational Theory and Mathematics (72 citations), Health Informatics (5 citations), Information Systems (61 citations) and Computer Networks and Communications (30 citations). Marcel Keller has collaborated with scholars based in Australia, United Kingdom and Denmark. Frequent co-authors include Peter Schöll, Emmanuela Orsini, Nigel P. Smart, Marc–André Kaufhold, Markus Bayer, Christian Reuter, Björn Buchhold, Toshinori Araki, Jun Furukawa and Kazuma Ohara. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Journal of Cryptology, GigaScience, Lecture notes in computer science and Bristol Research (University of Bristol).
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.