Michael J. Black
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.5%
- Aerospace Engineering top 2%
- Computational Mechanics top 2%
- Artificial Intelligence top 5%
- Co-authors
- Stefan RothAllan D. JepsonSimon BakerJohn LewisDaniel ScharsteinRichard SzeliskiFernando De la TorreYaser Yacoob
- Topics
- Advanced Vision and Imaging (11 papers)Advanced Image Processing Techniques (4 papers)Human Pose and Action Recognition (3 papers)
- Journals
- International Journal of Computer VisionComputer Vision and Image UnderstandingPublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael J. Black
14 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 3.5k
- Media Technology 669
- Aerospace Engineering 453
- Computational Mechanics 426
- Artificial Intelligence 387
Countries citing papers authored by Michael J. Black
This map shows the geographic impact of Michael J. Black'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 J. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Black more than expected).
Fields of papers citing papers by Michael J. Black
This network shows the impact of papers produced by Michael J. Black. 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 J. Black. The network helps show where Michael J. Black may publish in the future.
Co-authorship network of co-authors of Michael J. Black
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Black. A scholar is included among the top collaborators of Michael J. Black 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 Michael J. Black. Michael J. Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | A Database and Evaluation Methodology for Optical Flowbreakdown → | 1329 |
| 3 | Fields of Expertsbreakdown → | 542 |
| 4 | 113 | |
| 5 | 36 | |
| 6 | A Database and Evaluation Methodology for Optical Flowbreakdown → | 394 |
| 7 | 415 | |
| 8 | Bayesian inference of visual motion boundaries | 12 |
| 9 | 4 | |
| 10 | 68 | |
| 11 | 98 | |
| 12 | 94 | |
| 13 | 226 | |
| 14 | EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representationbreakdown → | 730 |
About Michael J. Black
Michael J. Black is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Statistics and Probability, having authored 14 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Media Technology (669 citations) and Computational Mathematics (24 citations). Michael J. Black has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stefan Roth, Allan D. Jepson, Simon Baker, John Lewis, Daniel Scharstein, Richard Szeliski, Fernando De la Torre, Yaser Yacoob, David J. Fleet and Rick Szeliski. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.