Stephan Gerhard
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Structural Biology top 10%
Papers in
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- Neurobiology and Insect Physiology Research 4
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- Functional Brain Connectivity Studies 3
- Co-authors
- Reto Meuli (3 shared papers)Patric Hagmann (3 shared papers)Jean‐Philippe Thiran (3 shared papers)Xavier Gigandet (2 shared papers)Leila Cammoun (2 shared papers)Alessandro Daducci (2 shared papers)Alia Lemkaddem (2 shared papers)Richard D. Fetter (3 shared papers)
- Journals
- eLife (2 papers)Nature Methods (1 paper)Frontiers in Neuroinformatics (1 paper)The Journal of Comparative Neurology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Stephan Gerhard
11 papers receiving 928 citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 444
- Structural Biology 26
- Aging 29
- Cellular and Molecular Neuroscience 295
- Radiology, Nuclear Medicine and Imaging 321
Countries citing papers authored by Stephan Gerhard
This map shows the geographic impact of Stephan Gerhard'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 Stephan Gerhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Gerhard more than expected).
Fields of papers citing papers by Stephan Gerhard
This network shows the impact of papers produced by Stephan Gerhard. 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 Stephan Gerhard. The network helps show where Stephan Gerhard may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Gerhard, 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 | 2010 | 219 | |
| 2 | 2012 | 201 | |
| 3 | 2016 | 184 | |
| 4 | 2011 | 76 | |
| 5 | 2021 | 75 | |
| 6 | 1999 | 73 | |
| 7 | 2017 | 59 | |
| 8 | 2016 | 33 | |
| 9 | 2014 | 9 | |
| 10 | Real-time volume rendering and tractography visualization on the web | 2012 | 4 |
| 11 | 2013 | 3 |
About Stephan Gerhard
Stephan Gerhard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 936 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Neurobiology and Insect Physiology Research (4 papers), Advanced MRI Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers), Plant and animal studies (1 paper), ECG Monitoring and Analysis (1 paper), Cell Image Analysis Techniques (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Cognitive Neuroscience (444 citations), Structural Biology (26 citations), Aging (29 citations), Cellular and Molecular Neuroscience (295 citations) and Radiology, Nuclear Medicine and Imaging (321 citations). Stephan Gerhard has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Reto Meuli, Patric Hagmann, Jean‐Philippe Thiran, Xavier Gigandet, Leila Cammoun, Alessandro Daducci, Alia Lemkaddem, Richard D. Fetter, Albert Cardona and Casey M Schneider-Mizell. Their work appears in journals such as eLife, Nature Methods, Frontiers in Neuroinformatics, The Journal of Comparative Neurology and Nucleic Acids 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.