Rob Koopman
Impact in
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- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
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- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
Papers in
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- Advanced Text Analysis Techniques 6
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Data Visualization and Analytics 6
- Co-authors
- Shenghui Wang (12 shared papers)Andrea Scharnhorst (5 shared papers)Kevin W. Boyack (1 shared paper)Theresa Velden (1 shared paper)Jochen Gläser (1 shared paper)Toshiyuki Tanaka (1 shared paper)Maki Kikuchi (1 shared paper)Tobias Wehr (2 shared papers)
- Journals
- Scientometrics (3 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Atmospheric measurement techniques (1 paper)Proceedings of the Association for Information Science and Technology (1 paper)UvA-DARE (University of Amsterdam) (2 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Rob Koopman
16 papers receiving 234 citations
Peers
Comparison fields: 5 of 69
- Atmospheric Science 80
- Global and Planetary Change 78
- Statistics, Probability and Uncertainty 21
- Statistical and Nonlinear Physics 35
- Artificial Intelligence 87
Countries citing papers authored by Rob Koopman
This map shows the geographic impact of Rob Koopman'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 Rob Koopman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Koopman more than expected).
Fields of papers citing papers by Rob Koopman
This network shows the impact of papers produced by Rob Koopman. 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 Rob Koopman. The network helps show where Rob Koopman may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Koopman, 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 | 2023 | 72 | |
| 2 | 2017 | 55 | |
| 3 | 2017 | 52 | |
| 4 | 2007 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2015 | 11 | |
| 7 | A philosophical perspective on visualization for digital humanities | 2018 | 6 |
| 8 | 2018 | 6 | |
| 9 | The Sentinel-4 Mission And Its Implementation | 2013 | 4 |
| 10 | Semantic Embedding for Information Retrieval. | 2017 | 4 |
| 11 | BolVis: visualization for text-based research in philosophy | 2018 | 4 |
| 12 | 2016 | 2 | |
| 13 | GOMOS Calibration on Envisat Status on December 2002 | 2003 | 1 |
| 14 | 2019 | 1 | |
| 15 | 2021 | 1 | |
| 16 | Summary of the Atmospheric Chemistry Instrument Validation | 2004 | 1 |
| 17 | Contextualization of topics - browsing through terms, authors, journals and cluster allocations | 2015 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2014 | 0 |
About Rob Koopman
Rob Koopman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Atmospheric Science, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (6 papers), Data Visualization and Analytics (6 papers), Complex Network Analysis Techniques (4 papers), Atmospheric chemistry and aerosols (3 papers), Topic Modeling (3 papers), Atmospheric Ozone and Climate (3 papers), Natural Language Processing Techniques (2 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Atmospheric Science (80 citations), Global and Planetary Change (78 citations), Statistics, Probability and Uncertainty (21 citations), Statistical and Nonlinear Physics (35 citations) and Artificial Intelligence (87 citations). Rob Koopman has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Shenghui Wang, Andrea Scharnhorst, Kevin W. Boyack, Theresa Velden, Jochen Gläser, Toshiyuki Tanaka, Maki Kikuchi, Tobias Wehr, Hirotaka Nakatsuka and Kotska Wallace. Their work appears in journals such as Scientometrics, IEEE Transactions on Visualization and Computer Graphics, Atmospheric measurement techniques, Proceedings of the Association for Information Science and Technology and UvA-DARE (University of Amsterdam).
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.