Norman Sieroka
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Materials Chemistry
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Robert A. GoodnowAlleyn T. PlowrightJohanna M. JansenMatthias KöhlerJeff BlaneyMatthias ZentgrafJosé S. DucaJasmin Fisher
- Topics
- Philosophy, Science, and History (6 papers)Phenomenology and Existential Philosophy (4 papers)Hearing Loss and Rehabilitation (4 papers)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Norman Sieroka
20 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 303
- Molecular Biology 250
- Materials Chemistry 155
- Cognitive Neuroscience 50
- Biomedical Engineering 46
Countries citing papers authored by Norman Sieroka
This map shows the geographic impact of Norman Sieroka'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 Norman Sieroka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman Sieroka more than expected).
Fields of papers citing papers by Norman Sieroka
This network shows the impact of papers produced by Norman Sieroka. 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 Norman Sieroka. The network helps show where Norman Sieroka may publish in the future.
Co-authorship network of co-authors of Norman Sieroka
This figure shows the co-authorship network connecting the top 25 collaborators of Norman Sieroka. A scholar is included among the top collaborators of Norman Sieroka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norman Sieroka. Norman Sieroka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | Rethinking drug design in the artificial intelligence erabreakdown → | 496 |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Close Reading of Science Texts with Online Annotations | 1 |
| 8 | 6 | |
| 9 | 1 | |
| 10 | Philosophie der Physik: Eine Einführung | 1 |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 0 |
About Norman Sieroka
Norman Sieroka is a scholar working on History and Philosophy of Science, Theoretical Computer Science and General Decision Sciences, having authored 27 papers that have together received 590 indexed citations. Recurring topics across this work include Philosophy, Science, and History (6 papers), Phenomenology and Existential Philosophy (4 papers) and Hearing Loss and Rehabilitation (4 papers). The work is most often cited by research in Computational Theory and Mathematics (303 citations), Health Informatics (22 citations) and Theoretical Computer Science (6 citations). Norman Sieroka has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Robert A. Goodnow, Alleyn T. Plowright, Johanna M. Jansen, Matthias Köhler, Jeff Blaney, Matthias Zentgraf, José S. Duca, Jasmin Fisher, Gisbert Schneider and Jennifer Listgarten. Their work appears in journals such as NeuroImage, Nature Reviews Drug Discovery and Journal of Neurophysiology.
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.