Margit Pohl

86 papers receiving 772 citations

Peers

Margit Pohl
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 499
  • Human-Computer Interaction 44
  • Computer Science Applications 28
  • Management Information Systems 29
  • Developmental and Educational Psychology 38
Replace Andrea Vázquez‐Ingelmo with:
Andrea Vázquez‐Ingelmo Spain
Robert P. Biuk‐Aghai Macao
Jacques Ophoff South Africa
Matt McKeon United States
Sai Ho Kwok Hong Kong
Roger Carff United States
Jesse Kriss United States
Greg Hill United States
Doug Riecken United States
Hannu Verkasalo Finland
Margit Pohl relative to Andrea Vázquez‐Ingelmo Spain Andrea Vázquez‐Ingelmo's profile →
Citations per field
00.5×2×4×6×7.6×
Andrea Vázquez‐Ingelmo · 1×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201747
3 201437
4 201232
5 201632
6 201128
7 200527
8 201127
9 201120
10 201220
11 201820
12 201319
13 202119
14 201417
15 200416
16 200713
17 201213
18 200612
19 201211
20 201811

About Margit Pohl

Margit Pohl is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Developmental and Educational Psychology, Information Systems and Experimental and Cognitive Psychology, having authored 90 papers that have together received 794 indexed citations. Recurring topics across this work include Data Visualization and Analytics (60 papers), Usability and User Interface Design (6 papers), Online and Blended Learning (6 papers), Educational Technology and E-Learning (4 papers), Visual and Cognitive Learning Processes (4 papers), Educational Games and Gamification (4 papers), Gender and Technology in Education (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (499 citations), Human-Computer Interaction (44 citations), Computer Science Applications (28 citations), Management Information Systems (29 citations) and Developmental and Educational Psychology (38 citations). Margit Pohl has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Simone Kriglstein, Silvia Miksch, Wolfgang Aigner A, Gennady Andrienko, Günter Wallner, Jörn Kohlhammer, Giuseppe Santucci, Daniel A. Keim, 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 Data and Information Quality.

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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