Rainer Malaka

3.9k citations
174 papers · 1.8k · h-index 24

Impact in

Papers in

Rainer Malaka

165 papers receiving 1.7k citations

Peers

Rainer Malaka
Comparison fields: 5 of 129
  • Human-Computer Interaction 601
  • Computer Vision and Pattern Recognition 404
  • Developmental and Educational Psychology 228
  • Software 70
  • Artificial Intelligence 472
Replace Stephen J. Payne with:
Stephen J. Payne United Kingdom
Youn-kyung Lim South Korea
Ted Selker United States
Philip Barnard United Kingdom
Jo Vermeulen Belgium
Emilia Barakova Netherlands
Franca Garzotto Italy
Oliviero Stock Italy
Carmen Santoro Italy
Harald Reiterer Germany
Rainer Malaka relative to Stephen J. Payne United Kingdom Stephen J. Payne's profile →
Citations per field
00.5×10×17.3×
Stephen J. Payne · 1×
Citations per year

Countries citing papers authored by Rainer Malaka

Since Specialization
Citations

This map shows the geographic impact of Rainer Malaka'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 Rainer Malaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Malaka more than expected).

Fields of papers citing papers by Rainer Malaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rainer Malaka. 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 Rainer Malaka. The network helps show where Rainer Malaka may publish in the future.

Co-authors

The 25 scholars most cited alongside Rainer Malaka, 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 Rainer Malaka Line = papers co-authored together Rainer Malaka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 199864
3 202260
4 201452
5 199851
6 201542
7 201036
8 202236
9 202035
10 202134
11 201734
12 201632
13 202231
14 201831
15 201931
16 201830
17 202329
18 201929
19 200728
20 200628

About Rainer Malaka

Rainer Malaka is a scholar working on Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science and Developmental and Educational Psychology, having authored 174 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (31 papers), Augmented Reality Applications (27 papers), Digital Games and Media (23 papers), Educational Games and Gamification (20 papers), Interactive and Immersive Displays (19 papers), Tactile and Sensory Interactions (15 papers), Artificial Intelligence in Games (15 papers) and Innovative Human-Technology Interaction (15 papers). The work is most often cited by research in Human-Computer Interaction (601 citations), Computer Vision and Pattern Recognition (404 citations), Developmental and Educational Psychology (228 citations), Software (70 citations) and Artificial Intelligence (472 citations). Rainer Malaka has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jan David Smeddinck, Johannes Pfau, Dmitry Alexandrovsky, Tanja Döring, Nima Zargham, Michael Bonfert, Dirk Wenig, Marc Herrlich, Robert Porzel and Martin Hammer. Their work appears in journals such as International Journal of Human-Computer Interaction, Biological Cybernetics, Pervasive and Mobile Computing, Biosensors and Bioelectronics and The Computer Journal.

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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