Margit Pohl
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Human-Computer Interaction top 5%
Papers in
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- Data Visualization and Analytics 57
- Video Analysis and Summarization 11
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- Advanced Text Analysis Techniques 16
- Co-authors
- Silvia Miksch (18 shared papers)Simone Kriglstein (15 shared papers)Wolfgang Aigner (10 shared papers)Gennady Andrienko (2 shared papers)Giuseppe Santucci (1 shared paper)Jörn Kohlhammer (1 shared paper)Daniel A. Keim (1 shared paper)Günter Wallner (8 shared papers)
- Journals
- Visual Informatics (2 papers)International Journal of Human-Computer Studies (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Lecture notes in computer science (16 papers)Journal of Graph Algorithms and Applications (1 paper)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Margit Pohl
85 papers receiving 741 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 477
- Human-Computer Interaction 66
- Signal Processing 89
- Artificial Intelligence 256
- Computer Science Applications 39
Countries citing papers authored by Margit Pohl
This map shows the geographic impact of Margit Pohl'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 Margit Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Pohl more than expected).
Fields of papers citing papers by Margit Pohl
This network shows the impact of papers produced by Margit Pohl. 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 Margit Pohl. The network helps show where Margit Pohl may publish in the future.
Co-authors
The 25 scholars most cited alongside Margit Pohl, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 107 | |
| 2 | 2017 | 43 | |
| 3 | 2014 | 35 | |
| 4 | 2012 | 32 | |
| 5 | 2016 | 29 | |
| 6 | 2005 | 27 | |
| 7 | 2011 | 27 | |
| 8 | 2011 | 27 | |
| 9 | 2012 | 20 | |
| 10 | 2013 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2004 | 16 | |
| 16 | 2012 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2006 | 12 | |
| 19 | 2012 | 11 | |
| 20 | 2023 | 10 |
About Margit Pohl
Margit Pohl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 89 papers that have together received 775 indexed citations. Recurring topics across this work include Data Visualization and Analytics (57 papers), Advanced Text Analysis Techniques (16 papers), Multimedia Communication and Technology (14 papers), Video Analysis and Summarization (11 papers), Usability and User Interface Design (11 papers), Innovative Teaching and Learning Methods (9 papers), Visual and Cognitive Learning Processes (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Human-Computer Interaction (66 citations), Signal Processing (89 citations), Artificial Intelligence (256 citations) and Computer Science Applications (39 citations). Margit Pohl has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Silvia Miksch, Simone Kriglstein, Wolfgang Aigner, Gennady Andrienko, Giuseppe Santucci, Jörn Kohlhammer, Daniel A. Keim, Günter Wallner, Michael Smuc and Theresia Gschwandtner. Their work appears in journals such as Visual Informatics, International Journal of Human-Computer Studies, IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science and Journal of Graph Algorithms and Applications.
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.