Michelle Karg
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
-
- Balance, Gait, and Falls Prevention
Papers in
-
- Human Pose and Action Recognition 10
- Context-Aware Activity Recognition Systems 3
-
- Gait Recognition and Analysis 9
- Muscle activation and electromyography studies 4
- Co-authors
- Dana Kulić (13 shared papers)Kolja Kühnlenz (6 shared papers)Jesse Hoey (5 shared papers)Martin Buss (5 shared papers)Jonathan Feng-Shun Lin (2 shared papers)Rob Gorbet (1 shared paper)Gentiane Venture (4 shared papers)Shehroz S. Khan (2 shared papers)
In The Last Decade
Michelle Karg
23 papers receiving 572 citations
Peers
Comparison fields: 5 of 74
- Human-Computer Interaction 83
- Physical Therapy, Sports Therapy and Rehabilitation 56
- Computer Vision and Pattern Recognition 267
- Experimental and Cognitive Psychology 122
- Rehabilitation 40
Countries citing papers authored by Michelle Karg
This map shows the geographic impact of Michelle Karg'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 Michelle Karg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Karg more than expected).
Fields of papers citing papers by Michelle Karg
This network shows the impact of papers produced by Michelle Karg. 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 Michelle Karg. The network helps show where Michelle Karg may publish in the future.
Co-authors
The 19 scholars most cited alongside Michelle Karg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 139 | |
| 2 | 2010 | 98 | |
| 3 | 2016 | 68 | |
| 4 | 2014 | 44 | |
| 5 | 2014 | 37 | |
| 6 | 2017 | 29 | |
| 7 | 2009 | 28 | |
| 8 | 2017 | 22 | |
| 9 | 2012 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2010 | 10 | |
| 15 | A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking | 2009 | 9 |
| 16 | 2013 | 7 | |
| 17 | 2016 | 4 | |
| 18 | 2013 | 4 | |
| 19 | Pattern Recognition Algorithms for Gait Analysis with Application to Affective Computing | 2012 | 3 |
| 20 | 2009 | 3 |
About Michelle Karg
Michelle Karg is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation and Social Psychology, having authored 23 papers that have together received 591 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (9 papers), Gait Recognition and Analysis (9 papers), Balance, Gait, and Falls Prevention (5 papers), Muscle activation and electromyography studies (4 papers), Emotion and Mood Recognition (4 papers), Hand Gesture Recognition Systems (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Physical Therapy, Sports Therapy and Rehabilitation (56 citations), Computer Vision and Pattern Recognition (267 citations), Experimental and Cognitive Psychology (122 citations) and Rehabilitation (40 citations). Michelle Karg has collaborated with scholars based in Germany, Canada and Japan. Frequent co-authors include Dana Kulić, Kolja Kühnlenz, Jesse Hoey, Martin Buss, Jonathan Feng-Shun Lin, Rob Gorbet, Gentiane Venture, Shehroz S. Khan, Wolfgang Seiberl and Vincent Bonnet. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Applied Soft Computing, IEEE Transactions on Affective Computing and IEEE Transactions on Human-Machine Systems.
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.