S. Geißelsöder
Impact in
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- Particle Detector Development and Performance
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
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- Radiation Detection and Scintillator Technologies
Papers in
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- Machine Learning in Bioinformatics 1
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- Neuroscience and Neuropharmacology Research 1
S. Geißelsöder
3 papers receiving 16 citations
Peers
Comparison fields: 5 of 14
- Nuclear and High Energy Physics 5
- Radiation 3
- Signal Processing 2
- Artificial Intelligence 6
- Management Science and Operations Research 2
Countries citing papers authored by S. Geißelsöder
This map shows the geographic impact of S. Geißelsöder'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 S. Geißelsöder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Geißelsöder more than expected).
Fields of papers citing papers by S. Geißelsöder
This network shows the impact of papers produced by S. Geißelsöder. 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 S. Geißelsöder. The network helps show where S. Geißelsöder may publish in the future.
Co-authors
The 17 scholars most cited alongside S. Geißelsöder, 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 | 2021 | 9 | |
| 2 | 2013 | 5 | |
| 3 | 2023 | 2 |
About S. Geißelsöder
S. Geißelsöder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiation, Artificial Intelligence and Computational Theory and Mathematics, having authored 3 papers that have together received 16 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (1 paper), Cryptography and Data Security (1 paper), Particle Detector Development and Performance (1 paper), Neutrino Physics Research (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Topological and Geometric Data Analysis (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (5 citations), Radiation (3 citations), Signal Processing (2 citations), Artificial Intelligence (6 citations) and Management Science and Operations Research (2 citations). S. Geißelsöder has collaborated with scholars based in Germany and Austria. Frequent co-authors include Thilo Michel, Jürgen Durst, Steffen Zeuch, Volker Markl, Sebastian Wrede, Ankit Chaudhary, Philipp M. Grulich, Mykhaylo Filipenko, Tobias Rieger and Matthias Böehm. Their work appears in journals such as Advances in High Energy Physics.
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.