Fabian Boemer

4 papers and 53 indexed citations i.

About

Fabian Boemer is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Fabian Boemer has authored 4 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computational Mechanics and 1 paper in Computational Theory and Mathematics. Recurrent topics in Fabian Boemer’s work include Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Machine Learning and ELM (1 paper). Fabian Boemer is often cited by papers focused on Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Machine Learning and ELM (1 paper). Fabian Boemer collaborates with scholars based in United States, Finland and Germany. Fabian Boemer's co-authors include Amaury Lendasse, Edward Ratner, Daniel Demmler, Rosario Cammarota, Hossein Yalame, Thomas Schneider, Alexander Lyashevsky, Mohannad Ibrahim, Zizhong Chen and A.V. Titov and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Computers and 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

In The Last Decade

Co-authorship network of co-authors of Fabian Boemer i

Fields of papers citing papers by Fabian Boemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Fabian Boemer

Since Specialization
Citations

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).

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.

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2025