Rainer Malaka

4.1k citations
255 papers · 3.0k · h-index 31

Impact in

Papers in

Rainer Malaka

242 papers receiving 2.9k citations

Peers

Rainer Malaka
Comparison fields: 5 of 134
  • Human-Computer Interaction 987
  • Computer Vision and Pattern Recognition 720
  • Developmental and Educational Psychology 409
  • Artificial Intelligence 804
  • Applied Psychology 101
Replace Massimo Zancanaro with:
Massimo Zancanaro Italy
James T. Miller Canada
Franca Garzotto Italy
Joanna McGrenere Canada
Martin Schrepp Germany
Ronald M. Baecker Canada
Khai Nhut Truong Canada
Jo Vermeulen Belgium
Michael D. Byrne United States
Jonna Häkkilä Finland
Rainer Malaka relative to Massimo Zancanaro Italy Massimo Zancanaro's profile →
Citations per field
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Massimo Zancanaro · 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 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000169
2 2020103
3 202267
4 201566
5 201162
6 202058
7 199857
8 201456
9 201255
10 202354
11 201552
12 201046
13 202245
14 200145
15 201742
16 202341
17 202139
18 201838
19 201638
20 202037

About Rainer Malaka

Rainer Malaka is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 255 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (41 papers), Digital Games and Media (39 papers), Educational Games and Gamification (38 papers), Augmented Reality Applications (37 papers), Interactive and Immersive Displays (27 papers), Artificial Intelligence in Games (24 papers), Innovative Human-Technology Interaction (24 papers) and Tactile and Sensory Interactions (18 papers). The work is most often cited by research in Human-Computer Interaction (987 citations), Computer Vision and Pattern Recognition (720 citations), Developmental and Educational Psychology (409 citations), Artificial Intelligence (804 citations) and Applied Psychology (101 citations). Rainer Malaka has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jan David Smeddinck, Marc Herrlich, Alexander Zipf, Johannes Pfau, Dirk Wenig, Robert Porzel, Dmitry Alexandrovsky, Michael Bonfert, Nima Zargham and Tanja Döring. Their work appears in journals such as Lecture notes in computer science, International Journal of Human-Computer Interaction, Biological Cybernetics, Proceedings of the ACM on Human-Computer Interaction and International Journal of Computer Assisted Radiology and Surgery.

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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