Vili Kellokumpu
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Media Technology top 5%
- Co-authors
- Guoying ZhaoMatti PietikäinenShengcai LiaoStan Z. LiPaul CrookJanne HeikkiläJie ChenLarry S. Davis
- Topics
- Human Pose and Action Recognition (9 papers)Gait Recognition and Analysis (6 papers)Video Surveillance and Tracking Methods (4 papers)
- Partner nations
- FinlandChinaUnited Kingdom
In The Last Decade
Vili Kellokumpu
15 papers receiving 690 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 662
- Biomedical Engineering 156
- Artificial Intelligence 139
- Human-Computer Interaction 71
- Media Technology 62
Countries citing papers authored by Vili Kellokumpu
This map shows the geographic impact of Vili Kellokumpu'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 Vili Kellokumpu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vili Kellokumpu more than expected).
Fields of papers citing papers by Vili Kellokumpu
This network shows the impact of papers produced by Vili Kellokumpu. 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 Vili Kellokumpu. The network helps show where Vili Kellokumpu may publish in the future.
Co-authorship network of co-authors of Vili Kellokumpu
This figure shows the co-authorship network connecting the top 25 collaborators of Vili Kellokumpu. A scholar is included among the top collaborators of Vili Kellokumpu 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 Vili Kellokumpu. Vili Kellokumpu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 40 | |
| 4 | 1 | |
| 5 | Can gait biometrics be spoofed | 15 |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 75 | |
| 9 | 4 | |
| 10 | Vision-based human motion description and recognition | 5 |
| 11 | 274 | |
| 12 | 14 | |
| 13 | 59 | |
| 14 | 38 | |
| 15 | 104 | |
| 16 | Human Activity Recognition Using Sequences of Postures | 69 |
About Vili Kellokumpu
Vili Kellokumpu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 16 papers that have together received 722 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (6 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (662 citations), Human-Computer Interaction (71 citations) and Media Technology (62 citations). Vili Kellokumpu has collaborated with scholars based in Finland, China and United Kingdom. Frequent co-authors include Guoying Zhao, Matti Pietikäinen, Matti Pietikäinen, Shengcai Liao, Stan Z. Li, Paul Crook, Janne Heikkilä, Jie Chen, Larry S. Davis and Shiv Vitaladevuni. Their work appears in journals such as Image and Vision Computing, Machine Vision and Applications and Cognitive Computation.
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.