Matjaž Kljun

732 citations
42 papers · 356 · h-index 12

Impact in

Papers in

Matjaž Kljun

38 papers receiving 340 citations

Peers

Matjaž Kljun
Comparison fields: 5 of 75
  • Human-Computer Interaction 194
  • Computer Vision and Pattern Recognition 168
  • Information Systems and Management 35
  • Cognitive Neuroscience 51
  • Developmental and Educational Psychology 30
Replace Klen Čopič Pucihar with:
Klen Čopič Pucihar Slovenia
Jens Gerken Germany
Tuuli Keskinen Finland
Maxine Glancy United Kingdom
Andrew M. Webb United States
Minna Pakanen Finland
Lennart E. Fahlén Sweden
Athanasis Karoulis Greece
Leena Arhippainen Finland
Derek Reilly Canada
Matjaž Kljun relative to Klen Čopič Pucihar Slovenia Klen Čopič Pucihar's profile →
Citations per field
00.5×1.5×2.1×
Klen Čopič Pucihar · 1×
Citations per year

Countries citing papers authored by Matjaž Kljun

Since Specialization
Citations

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

Fields of papers citing papers by Matjaž Kljun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 200629
3 202223
4 202023
5 202121
6 200719
7 201616
8 201913
9 202013
10 202213
11 201513
12 201712
13 201511
14 20219
15 20169
16 20229
17 20208
18 20227
19 20197
20 20137

About Matjaž Kljun

Matjaž Kljun is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Management and Developmental and Educational Psychology, having authored 42 papers that have together received 356 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (13 papers), Augmented Reality Applications (13 papers), Virtual Reality Applications and Impacts (7 papers), Personal Information Management and User Behavior (6 papers), Tactile and Sensory Interactions (6 papers), Innovative Teaching and Learning Methods (5 papers), Hand Gesture Recognition Systems (4 papers) and Usability and User Interface Design (4 papers). The work is most often cited by research in Human-Computer Interaction (194 citations), Computer Vision and Pattern Recognition (168 citations), Information Systems and Management (35 citations), Cognitive Neuroscience (51 citations) and Developmental and Educational Psychology (30 citations). Matjaž Kljun has collaborated with scholars based in Slovenia, United Kingdom and Japan. Frequent co-authors include Klen Čopič Pucihar, David A. Carr, Jens Grubert, Alan Dix, John Mariani, Mohamed Khamis, Aaron Quigley, Alice Toniolo, Luis A. Leiva and Alenka Kavčič. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Interaction, Virtual Reality and Sensors.

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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