Margit Pohl

1.1k citations
70 papers · 505 indexed · h-index 13

Margit Pohl

64 papers receiving 482 citations

Peers

Margit Pohl
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 302
  • Human-Computer Interaction 44
  • Computer Science Applications 28
  • Artificial Intelligence 158
  • Management Information Systems 40
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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-authorship network

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
#Work
1 20228
2 202114
3 20214
4 20192
5 201816
6 20171
7 20175
8 20166
9
Proceedings of EmoVis 2016, ACM IUI 2016 Workshop on Emotion and Visualization, Sonoma, CA, USA, March 10, 2016
20161
10 201223
11
Designing Game Based Learning - a Participatory Approach
20082
12
Sustainable Living - A Multiplayer Educational Game Based on Ecodesign
20084
13
How to Explain the Underrepresentation of Women in Computer Science Studies
20082
14 20085
15
Ecodesign - an Online University Course for Sustainable Product Design
20052
16 200522
17
Guidelines for E-Learning - Advantages and Disadvantages
20044
18
Usability Study of the ECIC Learning System
20020
19
Mensch Lebt Nicht VOM Bit Allein...: Information in Technik Und Gesellschaft 3., Durchgesehene Auflage
19980
20
Dichotomous Thinking, Women, and Technology
19942

About Margit Pohl

Margit Pohl is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Human Factors and Ergonomics, Experimental and Cognitive Psychology and Computer Science Applications, having authored 70 papers that have together received 505 indexed citations. Recurring topics across this work include Data Visualization and Analytics (43 papers), Advanced Text Analysis Techniques (12 papers), Multimedia Communication and Technology (10 papers), Usability and User Interface Design (8 papers), Complex Network Analysis Techniques (7 papers), Video Analysis and Summarization (7 papers), Innovative Teaching and Learning Methods (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Human-Computer Interaction (44 citations), Computer Science Applications (28 citations), Artificial Intelligence (158 citations) and Management Information Systems (40 citations). Margit Pohl has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Simone Kriglstein, Silvia Miksch, Gennady Andrienko, Jörn Kohlhammer, Giuseppe Santucci, Daniel A. Keim, Günter Wallner, Theresia Gschwandtner, Wolfgang Aigner and Eva Mayr. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Studies, Visual Informatics, Journal of Data and Information Quality 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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