Heike Stein
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Motor Control and Adaptation
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- Autoimmune Neurological Disorders and Treatments
Papers in
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- Neural dynamics and brain function 3
- Neural and Behavioral Psychology Studies 2
- Motor Control and Adaptation 2
- Undergraduate Neuroscience Education and Research 1
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- Autoimmune Neurological Disorders and Treatments 3
- Co-authors
- Albert Compte (4 shared papers)João Barbosa (4 shared papers)Josep O. Dalmau (3 shared papers)Sihai Li (1 shared paper)Josep Valls‐Solé (1 shared paper)Kirsten C. S. Adam (1 shared paper)Christos Constantinidis (1 shared paper)Mireia Rosa-Justícia (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature Neuroscience (2 papers)Behavior Research Methods (1 paper)The Lancet Neurology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Heike Stein
8 papers receiving 327 citations
Peers
Comparison fields: 5 of 40
- Cognitive Neuroscience 203
- Neurology 77
- Experimental and Cognitive Psychology 32
- General Decision Sciences 5
- Computational Mathematics 1
Countries citing papers authored by Heike Stein
This map shows the geographic impact of Heike Stein'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 Heike Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Stein more than expected).
Fields of papers citing papers by Heike Stein
This network shows the impact of papers produced by Heike Stein. 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 Heike Stein. The network helps show where Heike Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Heike Stein, 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 | 2020 | 163 | |
| 2 | 2022 | 65 | |
| 3 | 2020 | 55 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 9 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 0 | |
| 10 | 2026 | 0 |
About Heike Stein
Heike Stein is a scholar working on Cognitive Neuroscience, Neurology, Computational Mathematics, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 329 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (3 papers), Neural dynamics and brain function (3 papers), Neural and Behavioral Psychology Studies (2 papers), Schizophrenia research and treatment (2 papers), Motor Control and Adaptation (2 papers), Undergraduate Neuroscience Education and Research (1 paper), Ethics in Clinical Research (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (203 citations), Neurology (77 citations), Experimental and Cognitive Psychology (32 citations), General Decision Sciences (5 citations) and Computational Mathematics (1 citation). Heike Stein has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Albert Compte, João Barbosa, Josep O. Dalmau, Sihai Li, Josep Valls‐Solé, Kirsten C. S. Adam, Christos Constantinidis, Mireia Rosa-Justícia, Eugenia Martínez‐Hernández and Helena Ariño. Their work appears in journals such as Nature Communications, Nature Neuroscience, Behavior Research Methods, The Lancet Neurology and Journal of Neuroscience.
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.