Ross Messing

688 citations
8 papers · 477 · h-index 4

Impact in

Papers in

Ross Messing

8 papers receiving 462 citations

Peers

Ross Messing
Comparison fields: 5 of 51
  • Human-Computer Interaction 148
  • Computer Vision and Pattern Recognition 335
  • Cognitive Neuroscience 122
  • Artificial Intelligence 136
  • Automotive Engineering 46
Replace Michael A. Zmuda with:
Michael A. Zmuda United States
Beibei Liu China
Anh Cat Le Ngo Malaysia
Byeongkeun Kang South Korea
Junting Pan China
Marcin Eichner United Kingdom
Tsz-Ho Yu United Kingdom
Monica Haurilet Germany
Hou-Ning Hu Taiwan
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Citations per field
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Michael A. Zmuda · 1×
Citations per year

Countries citing papers authored by Ross Messing

Since Specialization
Citations

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

Fields of papers citing papers by Ross Messing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Ross Messing, 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 Ross Messing Line = papers co-authored together Ross Messing links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009306
2 2005157
3 20044
4 20194
5 20042
6 20102
7
Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics.
20091
8
Human activity recognition in video: extending statistical features across time, space and semantic context
20111

About Ross Messing

Ross Messing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Automotive Engineering and Cognitive Neuroscience, having authored 8 papers that have together received 477 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Visual perception and processing mechanisms (2 papers), Spatial Cognition and Navigation (2 papers), Video Surveillance and Tracking Methods (2 papers), Conservation Techniques and Studies (1 paper) and Color Science and Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (148 citations), Computer Vision and Pattern Recognition (335 citations), Cognitive Neuroscience (122 citations), Artificial Intelligence (136 citations) and Automotive Engineering (46 citations). Ross Messing has collaborated with scholars based in United States and Canada. Frequent co-authors include Henry Kautz, Chris Pal, Frank H. Durgin, Christopher Pal, Bruce Maxwell, Randal C. Nelson, Christopher M. Brown and Xiaoqing Tang. Their work appears in journals such as ACM Transactions on Applied Perception, Journal of Vision, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and PolyPublie (École Polytechnique de Montréal).

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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