Patrick Riehmann
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 13
- Video Analysis and Summarization 5
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- Advanced Text Analysis Techniques 8
- Natural Language Processing Techniques 2
- Topic Modeling 2
- Semantic Web and Ontologies 2
- Co-authors
- Bernd Froehlich (21 shared papers)Benno Stein (7 shared papers)Martin Potthast (3 shared papers)Henning Wachsmuth (2 shared papers)Florian Echtler (1 shared paper)Bernd Fröhlich (1 shared paper)Yamen Ajjour (1 shared paper)Matti Wiegmann (2 shared papers)
- Journals
- Computer Graphics Forum (4 papers)IEEE Transactions on Visualization and Computer Graphics (4 papers)Proceedings of the ACM on Human-Computer Interaction (1 paper)AI & Society (1 paper)Zeitschrift für Hochschulentwicklung (1 paper)
In The Last Decade
Patrick Riehmann
21 papers receiving 428 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 212
- Signal Processing 57
- Human-Computer Interaction 27
- Artificial Intelligence 118
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Patrick Riehmann
This map shows the geographic impact of Patrick Riehmann'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 Patrick Riehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Riehmann more than expected).
Fields of papers citing papers by Patrick Riehmann
This network shows the impact of papers produced by Patrick Riehmann. 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 Patrick Riehmann. The network helps show where Patrick Riehmann may publish in the future.
Co-authors
The 11 scholars most cited alongside Patrick Riehmann, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 187 | |
| 2 | 2006 | 150 | |
| 3 | 2016 | 24 | |
| 4 | 2015 | 18 | |
| 5 | 2012 | 13 | |
| 6 | 2012 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2011 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 1 |
About Patrick Riehmann
Patrick Riehmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Human-Computer Interaction, having authored 22 papers that have together received 455 indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Advanced Text Analysis Techniques (8 papers), Video Analysis and Summarization (5 papers), Data Management and Algorithms (4 papers), Interactive and Immersive Displays (3 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Signal Processing (57 citations), Human-Computer Interaction (27 citations), Artificial Intelligence (118 citations) and Statistical and Nonlinear Physics (42 citations). Patrick Riehmann has collaborated with scholars based in Germany and Sweden. Frequent co-authors include Bernd Froehlich, Benno Stein, Martin Potthast, Henning Wachsmuth, Florian Echtler, Bernd Fröhlich, Yamen Ajjour, Matti Wiegmann, Jürgen Neyer and Magdalena Wolska. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, AI & Society and Zeitschrift für Hochschulentwicklung.
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.