Eric Wieser
Impact in
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- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
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- Geological and Geophysical Studies
Papers in
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- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
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- Neuroscience and Neural Engineering 1
- Co-authors
- Adam J.R. Kent (2 shared papers)C. B. Till (2 shared papers)Penny Wieser (2 shared papers)Maurizio Petrelli (2 shared papers)Cai Wingfield (1 shared paper)Andrew A. S. Soltan (2 shared papers)William D. Marslen‐Wilson (1 shared paper)Ian Nimmo‐Smith (2 shared papers)
- Journals
- Vision Research (1 paper)Journal of Computational Neuroscience (1 paper)Advances in Applied Clifford Algebras (1 paper)SHILAP Revista de lepidopterología (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Eric Wieser
5 papers receiving 63 citations
Peers
Comparison fields: 5 of 43
- Geophysics 36
- Geology 5
- Atmospheric Science 10
- Geochemistry and Petrology 3
- Artificial Intelligence 13
Countries citing papers authored by Eric Wieser
This map shows the geographic impact of Eric Wieser'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 Eric Wieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Wieser more than expected).
Fields of papers citing papers by Eric Wieser
This network shows the impact of papers produced by Eric Wieser. 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 Eric Wieser. The network helps show where Eric Wieser may publish in the future.
Co-authors
The 9 scholars most cited alongside Eric Wieser, 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 | 41 | |
| 2 | 2018 | 16 | |
| 3 | 2017 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 1 |
About Eric Wieser
Eric Wieser is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Geophysics, having authored 6 papers that have together received 64 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Color Science and Applications (1 paper), Logic, programming, and type systems (1 paper), earthquake and tectonic studies (1 paper), Building materials and conservation (1 paper), EEG and Brain-Computer Interfaces (1 paper), Neuroscience and Neural Engineering (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Geophysics (36 citations), Geology (5 citations), Atmospheric Science (10 citations), Geochemistry and Petrology (3 citations) and Artificial Intelligence (13 citations). Eric Wieser has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Adam J.R. Kent, C. B. Till, Penny Wieser, Maurizio Petrelli, Cai Wingfield, Andrew A. S. Soltan, William D. Marslen‐Wilson, Ian Nimmo‐Smith and Robert Kern. Their work appears in journals such as Vision Research, Journal of Computational Neuroscience, Advances in Applied Clifford Algebras, SHILAP Revista de lepidopterología and Zenodo (CERN European Organization for Nuclear Research).
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.