David Schoch
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
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- Mental Health Research Topics
Papers in
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 5
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- Hate Speech and Cyberbullying Detection 4
- Co-authors
- Laura F. Bringmann (1 shared paper)Timon Elmer (1 shared paper)Evelien Snippe (1 shared paper)Sacha Epskamp (1 shared paper)Marieke Wichers (1 shared paper)Johanna T. W. Wigman (1 shared paper)Robert W. Krause (1 shared paper)Franziska Keller (3 shared papers)
- Journals
- Social Networks (4 papers)Scientific Reports (2 papers)Journal of Abnormal Psychology (1 paper)Science Advances (1 paper)Political Communication (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
David Schoch
24 papers receiving 1.1k citations
David Schoch's Hit Papers
Peers
Comparison fields: 5 of 113
- Biological Psychiatry 141
- Experimental and Cognitive Psychology 656
- Communication 143
- Cognitive Neuroscience 327
- Statistical and Nonlinear Physics 173
Countries citing papers authored by David Schoch
This map shows the geographic impact of David Schoch'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 David Schoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schoch more than expected).
Fields of papers citing papers by David Schoch
This network shows the impact of papers produced by David Schoch. 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 David Schoch. The network helps show where David Schoch may publish in the future.
Co-authors
The 19 scholars most cited alongside David Schoch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | What do centrality measures measure in psychological networks? Hit paper breakdown → | 2019 | 716 |
| 2 | 2019 | 197 | |
| 3 | 2017 | 44 | |
| 4 | 2017 | 34 | |
| 5 | 2016 | 34 | |
| 6 | 2022 | 20 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | Stars, neighborhood inclusion and network centrality | 2015 | 4 |
| 14 | 2023 | 3 | |
| 15 | Centrality as a Predictor of Lethal Proteins: Performance and Robustness | 2014 | 3 |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About David Schoch
David Schoch is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Communication, Sociology and Political Science and Computational Theory and Mathematics, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (5 papers), Social Media and Politics (4 papers), Mental Health Research Topics (4 papers), Hate Speech and Cyberbullying Detection (4 papers), Computational Drug Discovery Methods (3 papers), Graph theory and applications (3 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Biological Psychiatry (141 citations), Experimental and Cognitive Psychology (656 citations), Communication (143 citations), Cognitive Neuroscience (327 citations) and Statistical and Nonlinear Physics (173 citations). David Schoch has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Laura F. Bringmann, Timon Elmer, Evelien Snippe, Sacha Epskamp, Marieke Wichers, Johanna T. W. Wigman, Robert W. Krause, Franziska Keller, JungHwan Yang and Sebastian Stier. Their work appears in journals such as Social Networks, Scientific Reports, Journal of Abnormal Psychology, Science Advances and Political Communication.
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.