Michael Neff

3.1k citations
97 papers · 2.3k · h-index 25

Impact in

Papers in

Michael Neff

90 papers receiving 2.3k citations

Peers

Michael Neff
Comparison fields: 5 of 119
  • Human-Computer Interaction 770
  • Computer Vision and Pattern Recognition 877
  • Control and Systems Engineering 868
  • Social Psychology 603
  • Experimental and Cognitive Psychology 268
Replace Jean‐Marie Normand with:
Jean‐Marie Normand France
Francisco J. Perales Spain
Shōhei Kato Japan
Goren Gordon Israel
Christopher J. Peters United States
Chung‐Hsien Wu Taiwan
Roger Johansson Sweden
Kosuke Sato Japan
Robert Patterson United States
Takanori Komatsu Japan
Michael Neff relative to Jean‐Marie Normand France Jean‐Marie Normand's profile →
Citations per field
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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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018214
2 2008190
3 2009181
4 2010119
5 200783
6 200780
7 201566
8 202164
9 201962
10 201160
11 201159
12 202357
13 200251
14 202250
15 201949
16 201642
17 201740
18 200539
19 202138
20 201332

About Michael Neff

Michael Neff is a scholar working on Human-Computer Interaction, Control and Systems Engineering, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Social Psychology, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Human Motion and Animation (52 papers), Human Pose and Action Recognition (35 papers), Hand Gesture Recognition Systems (23 papers), Video Analysis and Summarization (19 papers), Action Observation and Synchronization (11 papers), Speech and dialogue systems (8 papers), Virtual Reality Applications and Impacts (8 papers) and Language, Metaphor, and Cognition (8 papers). The work is most often cited by research in Human-Computer Interaction (770 citations), Computer Vision and Pattern Recognition (877 citations), Control and Systems Engineering (868 citations), Social Psychology (603 citations) and Experimental and Cognitive Psychology (268 citations). Michael Neff has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Harrison Jesse Smith, Guntram Rauhut, Irene Albrecht, Michael F. Kipp, Yingying Wang, Marilyn A. Walker, Eugene L. Fiume, Hans‐Peter Seidel, Ylva Ferstl and Rachel McDonnell. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, ACM Transactions on Applied Perception, 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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