Stephan Gerhard
Impact in
- Structural Biology top 5%
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Neurobiology and Insect Physiology Research 6
-
- Functional Brain Connectivity Studies 4
- Co-authors
- Reto Antoine Meuli (3 shared papers)Jean‐Philippe Thiran (3 shared papers)Patric Hagmann (3 shared papers)Leila Cammoun (2 shared papers)Xavier Gigandet (2 shared papers)Albert Cardona (5 shared papers)Richard Doty Fetter (4 shared papers)Alessandro Daducci (2 shared papers)
- Journals
- eLife (2 papers)Nature (2 papers)Frontiers in Neuroinformatics (1 paper)Proceedings of the National Academy of Sciences (1 paper)F1000Research (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Stephan Gerhard
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Structural Biology 49
- Cognitive Neuroscience 541
- Cellular and Molecular Neuroscience 417
- Aging 37
- Biophysics 111
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 | 223 | |
| 2 | 2012 | 220 | |
| 3 | 2016 | 206 | |
| 4 | 2018 | 108 | |
| 5 | 2021 | 93 | |
| 6 | 2011 | 84 | |
| 7 | 1999 | 73 | |
| 8 | 2017 | 64 | |
| 9 | 2024 | 40 | |
| 10 | 2013 | 37 | |
| 11 | 2016 | 35 | |
| 12 | 2017 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2014 | 13 | |
| 15 | Real-time volume rendering and tractography visualization on the web | 2012 | 4 |
| 16 | 2013 | 3 | |
| 17 | 2026 | 1 | |
| 18 | 2016 | 0 |
About Stephan Gerhard
Stephan Gerhard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Radiology, Nuclear Medicine and Imaging and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Fossil Insects in Amber (2 papers), Physiological and biochemical adaptations (2 papers), Cell Image Analysis Techniques (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Structural Biology (49 citations), Cognitive Neuroscience (541 citations), Cellular and Molecular Neuroscience (417 citations), Aging (37 citations) and Biophysics (111 citations). Stephan Gerhard has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Reto Antoine Meuli, Jean‐Philippe Thiran, Patric Hagmann, Leila Cammoun, Xavier Gigandet, Albert Cardona, Richard Doty Fetter, Alessandro Daducci, Alia Lemkaddem and Casey M Schneider-Mizell. Their work appears in journals such as eLife, Nature, Frontiers in Neuroinformatics, Proceedings of the National Academy of Sciences and F1000Research.
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.