Patrick Riehmann

600 citations
21 papers · 421 · h-index 8

Impact in

Papers in

Patrick Riehmann

20 papers receiving 396 citations

Peers

Patrick Riehmann
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 202
  • Signal Processing 56
  • Human-Computer Interaction 26
  • Artificial Intelligence 105
  • Statistical and Nonlinear Physics 39
Replace Margit Pohl with:
Margit Pohl Austria
Sherry Koshman United States
Yixuan Zhang China
Hyunmo Kang United States
Timothy Cribbin United Kingdom
Mohammed Korayem United States
Orland Hoeber Canada
Juhee Bae Sweden
Masoud Mazloom Netherlands
Noboru Sonehara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Riehmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 12 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.

Border = papers with Patrick Riehmann Line = papers co-authored together Patrick Riehmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005177
2 2006142
3 201623
4 201517
5 201210
6 20128
7 20207
8 20117
9 20205
10 20185
11 20184
12 20144
13 20183
14 20252
15 20202
16 20251
17 20231
18 20191
19 20171
20 20201

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 21 papers that have together received 421 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), Semantic Web and Ontologies (2 papers), Natural Language Processing Techniques (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (202 citations), Signal Processing (56 citations), Human-Computer Interaction (26 citations), Artificial Intelligence (105 citations) and Statistical and Nonlinear Physics (39 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, Yamen Ajjour, Bernd Fröhlich, Magdalena Wolska, Matti Wiegmann and Ines Engelmann. 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, Zeitschrift für Hochschulentwicklung and Eurographics.

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.

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