Margit Pohl

85 papers receiving 741 citations

Peers

Margit Pohl
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
Replace Caroline Ziemkiewicz with:
Caroline Ziemkiewicz United States
Mennatallah El‐Assady Germany
Daniel M. Gruen United States
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Orland Hoeber Canada
Matt McKeon United States
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Ilaria Torre Italy
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Citations per field
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Citations per year

Countries citing papers authored by Margit Pohl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011107
2 201743
3 201435
4 201232
5 201629
6 200527
7 201127
8 201127
9 201220
10 201320
11 201120
12 201819
13 202117
14 201417
15 200416
16 201213
17 200713
18 200612
19 201211
20 202310

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.

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