Markus Huff

2.1k total citations
87 papers, 1.1k citations indexed

About

Markus Huff is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Markus Huff has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 30 papers in Experimental and Cognitive Psychology and 23 papers in Social Psychology. Recurrent topics in Markus Huff's work include Visual perception and processing mechanisms (23 papers), Visual and Cognitive Learning Processes (19 papers) and Neural and Behavioral Psychology Studies (18 papers). Markus Huff is often cited by papers focused on Visual perception and processing mechanisms (23 papers), Visual and Cognitive Learning Processes (19 papers) and Neural and Behavioral Psychology Studies (18 papers). Markus Huff collaborates with scholars based in Germany, United Kingdom and United States. Markus Huff's co-authors include Frank Papenmeier, Hauke S. Meyerhoff, Stephan Schwan, Georg Jahn, Nadia Said, Bärbel Garsoffky, Jeffrey M. Zacks, Martin Merkt, Friedrich W. Hesse and Tandra Ghose and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Psychologist.

In The Last Decade

Markus Huff

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Huff Germany 20 561 319 283 221 192 87 1.1k
Michael D. Dodd United States 22 1.1k 2.0× 427 1.3× 656 2.3× 285 1.3× 180 0.9× 88 2.3k
Frank Papenmeier Germany 18 539 1.0× 246 0.8× 203 0.7× 142 0.6× 148 0.8× 53 832
Rudolf Groner Switzerland 16 665 1.2× 247 0.8× 218 0.8× 300 1.4× 346 1.8× 46 1.5k
Krzysztof Krejtz Poland 16 402 0.7× 251 0.8× 253 0.9× 90 0.4× 608 3.2× 72 1.2k
Zaifeng Gao China 25 997 1.8× 214 0.7× 438 1.5× 139 0.6× 117 0.6× 76 1.3k
Alexander Skulmowski Germany 16 193 0.3× 335 1.1× 201 0.7× 299 1.4× 266 1.4× 36 1.2k
Timo Partala Finland 13 459 0.8× 407 1.3× 385 1.4× 83 0.4× 318 1.7× 31 1.3k
Jelmer P. Borst Netherlands 21 1.1k 1.9× 299 0.9× 320 1.1× 139 0.6× 127 0.7× 70 1.6k
Frouke Hermens United Kingdom 20 935 1.7× 195 0.6× 173 0.6× 78 0.4× 131 0.7× 88 1.4k
Javier Marín‐Morales Spain 14 408 0.7× 271 0.8× 232 0.8× 65 0.3× 313 1.6× 48 1.0k

Countries citing papers authored by Markus Huff

Since Specialization
Citations

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

Fields of papers citing papers by Markus Huff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Huff

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Huff. A scholar is included among the top collaborators of Markus Huff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Huff. Markus Huff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huff, Markus, et al.. (2025). Performance rather than reputation affects humans’ trust towards an artificial agent. SHILAP Revista de lepidopterología. 3. 100122–100122.
2.
Huff, Markus, et al.. (2024). Short-term transfer effects of Tetris on mental rotation: Review and registered report — A Bayesian approach. Attention Perception & Psychophysics. 86(3). 1056–1064. 1 indexed citations
3.
Huff, Markus, et al.. (2024). Beyond Mere Algorithm Aversion: Are Judgments About Computer Agents More Variable?. Communication Research. 1 indexed citations
4.
Şimşek, Ayşe Candan, et al.. (2024). How does it end? Endpoints of boundaries lead to completion in macro-events. Memory & Cognition. 53(5). 1380–1395.
5.
Papenmeier, Frank, et al.. (2024). Construction or updating? Event model processes during visual narrative comprehension. Psychonomic Bulletin & Review. 31(5). 2092–2101. 4 indexed citations
6.
Huff, Markus, et al.. (2023). Low Research-Data Availability in Educational-Psychology Journals: No Indication of Effective Research-Data Policies. Advances in Methods and Practices in Psychological Science. 6(1). 1 indexed citations
7.
Said, Nadia, et al.. (2023). An artificial intelligence perspective: How knowledge and confidence shape risk and benefit perception. Computers in Human Behavior. 149. 107855–107855. 39 indexed citations
8.
Fischer, Helen, et al.. (2023). Metacognition, public health compliance, and vaccination willingness. Proceedings of the National Academy of Sciences. 120(43). e2105425120–e2105425120. 7 indexed citations
9.
Said, Nadia, et al.. (2023). Consensus messaging in climate change communication: Metacognition as moderator variable in the gateway belief model. Journal of Environmental Psychology. 91. 102128–102128. 5 indexed citations
10.
Papenmeier, Frank, Hauke S. Meyerhoff, Heiko Hecht, & Markus Huff. (2022). Stereo viewing upsets cinematic continuity: Filmic cuts are more salient in 3D than in 2D movies.. Psychology of Aesthetics Creativity and the Arts. 18(4). 607–616. 1 indexed citations
11.
Huff, Markus, et al.. (2020). Cross-codal integration of bridging-event information in narrative understanding. Memory & Cognition. 48(6). 942–956. 14 indexed citations
12.
Papenmeier, Frank, et al.. (2019). Filling the gap despite full attention: the role of fast backward inferences for event completion. Cognitive Research Principles and Implications. 4(1). 3–3. 19 indexed citations
13.
Huff, Markus, et al.. (2017). Construction and updating of event models in auditory event processing.. Journal of Experimental Psychology Learning Memory and Cognition. 44(2). 307–320. 10 indexed citations
14.
Meyerhoff, Hauke S., Frank Papenmeier, & Markus Huff. (2017). Studying visual attention using the multiple object tracking paradigm: A tutorial review. Attention Perception & Psychophysics. 79(5). 1255–1274. 100 indexed citations
15.
Huff, Markus, et al.. (2016). All eyes on relevance: strategic allocation of attention as a result of feature-based task demands in multiple object tracking. Attention Perception & Psychophysics. 78(7). 2090–2109. 5 indexed citations
16.
Meyerhoff, Hauke S., Lucy Vanes, & Markus Huff. (2015). Spatiotemporal predictability alters perceived duration of visual events: Memento effect revisited.. Journal of Experimental Psychology Human Perception & Performance. 41(3). 613–622. 1 indexed citations
17.
Meyerhoff, Hauke S. & Markus Huff. (2015). Semantic congruency but not temporal synchrony enhances long-term memory performance for audio-visual scenes. Memory & Cognition. 44(3). 390–402. 29 indexed citations
18.
Papenmeier, Frank, Markus Huff, & Stephan Schwan. (2011). Representation of dynamic spatial configurations in visual short-term memory. Attention Perception & Psychophysics. 74(2). 397–415. 17 indexed citations
19.
Huff, Markus, et al.. (2010). A closer look at the split attention effect: integrated presentation formats for troubleshooting tasks. International Conference of Learning Sciences. 174–181. 1 indexed citations
20.
Garsoffky, Bärbel, Stephan Schwan, & Markus Huff. (2009). Canonical views of dynamic scenes.. Journal of Experimental Psychology Human Perception & Performance. 35(1). 17–27. 14 indexed citations

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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