Sjoerd de Vries
- Molecular Biology
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Alexandre M. J. J. BonvinPierre TufféryMartin ZachariasPiet KommersSamuel MurailDirk ThierensPhilippe DerreumauxEfthymios Constantinides
- Topics
- Protein Structure and Dynamics (5 papers)Knowledge Management and Sharing (5 papers)Computational Drug Discovery Methods (3 papers)
- Partner nations
- NetherlandsGermanyFrance
In The Last Decade
Sjoerd de Vries
23 papers receiving 410 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 231
- Materials Chemistry 78
- Computational Theory and Mathematics 65
- Sociology and Political Science 46
- Artificial Intelligence 37
Countries citing papers authored by Sjoerd de Vries
This map shows the geographic impact of Sjoerd de Vries'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 Sjoerd de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sjoerd de Vries more than expected).
Fields of papers citing papers by Sjoerd de Vries
This network shows the impact of papers produced by Sjoerd de Vries. 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 Sjoerd de Vries. The network helps show where Sjoerd de Vries may publish in the future.
Co-authorship network of co-authors of Sjoerd de Vries
This figure shows the co-authorship network connecting the top 25 collaborators of Sjoerd de Vries. A scholar is included among the top collaborators of Sjoerd de Vries based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sjoerd de Vries. Sjoerd de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 67 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | Marketing a transparent Artificial Intelligence (AI): A preliminary study on message design | 4 |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 94 | |
| 15 | 3 | |
| 16 | A reference model for the development of networked organizational communication: A communication perspective. | 0 |
| 17 | Online Knowledge Communities | 4 |
| 18 | First EUFORGEN Meeting on Social Broadleaves, 23-25 October 1997, Bordeaux, France | 2 |
| 19 | An Interactive Study Environment Reference Model Based on Intelligent Software Agents : Technological Aspects | 1 |
| 20 | 0 |
About Sjoerd de Vries
Sjoerd de Vries is a scholar working on Communication, Neuropsychology and Physiological Psychology and Developmental and Educational Psychology, having authored 29 papers that have together received 423 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Knowledge Management and Sharing (5 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Microbiology (25 citations) and Communication (27 citations). Sjoerd de Vries has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Alexandre M. J. J. Bonvin, Pierre Tufféry, Martin Zacharias, Piet Kommers, Samuel Murail, Dirk Thierens, Philippe Derreumaux, Efthymios Constantinides, Julien Rey and Paul van Schaik. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Journal of Clinical Epidemiology.
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.