Richard P. Wildes
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.2%
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Safety Research top 2%
- Co-authors
- Axel PinzChristoph FeichtenhoferKonstantinos G. DerpanisGeoffrey EgnalR.J. KolczynskiJames R. MateySterling E. McBrideJane C. Asmuth
- Topics
- Advanced Vision and Imaging (36 papers)Human Pose and Action Recognition (19 papers)Advanced Image and Video Retrieval Techniques (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEInternational Journal of Computer Vision
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Richard P. Wildes
68 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 2.6k
- Signal Processing 1.9k
- Information Systems 890
- Artificial Intelligence 501
- Safety Research 258
Countries citing papers authored by Richard P. Wildes
This map shows the geographic impact of Richard P. Wildes'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 Richard P. Wildes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard P. Wildes more than expected).
Fields of papers citing papers by Richard P. Wildes
This network shows the impact of papers produced by Richard P. Wildes. 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 Richard P. Wildes. The network helps show where Richard P. Wildes may publish in the future.
Co-authorship network of co-authors of Richard P. Wildes
This figure shows the co-authorship network connecting the top 25 collaborators of Richard P. Wildes. A scholar is included among the top collaborators of Richard P. Wildes 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 Richard P. Wildes. Richard P. Wildes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 51 | |
| 6 | Spatiotemporal Multiplier Networks for Video Action Recognitionbreakdown → | 427 |
| 7 | 51 | |
| 8 | 19 | |
| 9 | 0 | |
| 10 | 18 | |
| 11 | 41 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | A Stereo Confidence Metric Using Single View Imagery | 5 |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 23 | |
| 20 | 2 |
About Richard P. Wildes
Richard P. Wildes is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (36 papers), Human Pose and Action Recognition (19 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computer Vision and Pattern Recognition (2.6k citations) and Information Systems (890 citations). Richard P. Wildes has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Axel Pinz, Christoph Feichtenhofer, Konstantinos G. Derpanis, Geoffrey Egnal, R.J. Kolczynski, James R. Matey, Sterling E. McBride, Jane C. Asmuth, Mikhail Sizintsev and Ted Camus. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and International Journal of Computer Vision.
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.