Max V. Birk

2.0k citations
67 papers · 1.3k indexed · h-index 21

Max V. Birk

62 papers receiving 1.3k citations

Peers

Max V. Birk
Comparison fields: 5 of 105
  • Human-Computer Interaction 423
  • Applied Psychology 292
  • Developmental and Educational Psychology 516
  • Experimental and Cognitive Psychology 213
  • Literature and Literary Theory 163
Replace Jih‐Hsuan Tammy Lin with:
Jih‐Hsuan Tammy Lin Taiwan
Adam Lobel Netherlands
David Weibel Switzerland
Mikko Salminen Finland
Penelope Sweetser Australia
Kathleen Curtiss United States
Erik D. van der Spek Netherlands
Jeanne Brockmyer United States
Bartholomäus Wissmath Switzerland
Tim Tijs Netherlands
Max V. Birk relative to Jih‐Hsuan Tammy Lin Taiwan Jih‐Hsuan Tammy Lin's profile →
Citations per field
00.5×1.5×2.3×
Jih‐Hsuan Tammy Lin · 1×
Citations per year

Countries citing papers authored by Max V. Birk

Since Specialization
Citations

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

Fields of papers citing papers by Max V. Birk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max V. Birk. 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 Max V. Birk. The network helps show where Max V. Birk may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20240
5 20241
6 20242
7 20231
8 20234
9 20225
10 202112
11 202114
12 201946
13 201849
14 201819
15 201745
16 201742
17 201735
18 201521
19
Combining explicit and implicit measures to study the effects of persuasive games
20143
20 201488

About Max V. Birk

Max V. Birk is a scholar working on Applied Psychology, Human-Computer Interaction, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Literature and Literary Theory, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Educational Games and Gamification (29 papers), Digital Games and Media (22 papers), Digital Mental Health Interventions (13 papers), Virtual Reality Applications and Impacts (12 papers), Media Influence and Health (11 papers), Mental Health Research Topics (11 papers), Impact of Technology on Adolescents (11 papers) and Flow Experience in Various Fields (6 papers). The work is most often cited by research in Human-Computer Interaction (423 citations), Applied Psychology (292 citations), Developmental and Educational Psychology (516 citations), Experimental and Cognitive Psychology (213 citations) and Literature and Literary Theory (163 citations). Max V. Birk has collaborated with scholars based in Canada, Netherlands and Germany. Frequent co-authors include Regan L. Mandryk, Jason T. Bowey, Kathrin Gerling, Matthew K. Miller, Jan David Smeddinck, Maximilian A. Friehs, Nicola Baumann, Rita Orji, Scott Bateman and Carl Gutwin. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of Medical Internet Research, Scientific Reports, JMIR Mental Health and Electronics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026