Michael Neff

3.0k citations
96 papers · 2.3k · h-index 26

Impact in

Papers in

Michael Neff

90 papers receiving 2.2k citations

Peers

Michael Neff
Comparison fields: 5 of 117
  • Human-Computer Interaction 737
  • Computer Vision and Pattern Recognition 850
  • Control and Systems Engineering 847
  • Social Psychology 574
  • Experimental and Cognitive Psychology 246
Replace Jean‐Marie Normand with:
Jean‐Marie Normand France
Satoshi Matsuoka Japan
Francisco J. Perales Spain
Michael J. Lyons Japan
Kosuke Sato Japan
Josh Tenenbaum United States
András Lörincz Hungary
Bernd Fröhlich Germany
Bo Sun China
Takayuki Nagai Japan
Michael Neff relative to Jean‐Marie Normand France Jean‐Marie Normand's profile →
Citations per field
00.5×2×4×6×8.2×
Jean‐Marie Normand · 1×
Citations per year

Countries citing papers authored by Michael Neff

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018201
2 2008182
3 2009181
4 2010117
5 200780
6 200774
7 201565
8 199962
9 201158
10 202158
11 201157
12 200256
13 201954
14 202349
15 201942
16 202241
17 201640
18 201739
19 200538
20 201332

About Michael Neff

Michael Neff is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology and Experimental and Cognitive Psychology, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Human Motion and Animation (54 papers), Human Pose and Action Recognition (37 papers), Hand Gesture Recognition Systems (23 papers), Video Analysis and Summarization (19 papers), Action Observation and Synchronization (11 papers), Social Robot Interaction and HRI (8 papers), Virtual Reality Applications and Impacts (8 papers) and Language, Metaphor, and Cognition (7 papers). The work is most often cited by research in Human-Computer Interaction (737 citations), Computer Vision and Pattern Recognition (850 citations), Control and Systems Engineering (847 citations), Social Psychology (574 citations) and Experimental and Cognitive Psychology (246 citations). Michael Neff has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Harrison Jesse Smith, Guntram Rauhut, Eugene Fiume, Irene Albrecht, Michael Kipp, Yingying Wang, Marilyn Walker, Hans‐Peter Seidel, Rachel McDonnell and Ylva Ferstl. Their work appears in journals such as ACM Transactions on Graphics, ACM Transactions on Applied Perception, Computer Graphics Forum, Language Resources and Evaluation and The Journal of Chemical Physics.

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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