David S. Bolme
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence
- Information Systems
- Electrical and Electronic Engineering
- Co-authors
- J. Ross BeveridgeBruce A. DraperYui Man LuiP. Jonathon PhillipsGeof H. GivensNisha SrinivasKarl RicanekAlice J. O’Toole
- Topics
- Face recognition and analysis (17 papers)Face and Expression Recognition (13 papers)Biometric Identification and Security (11 papers)
- Journals
- Image and Vision ComputingIEEE Transactions on Circuits and Systems I Regular PapersWiley Interdisciplinary Reviews Computational Statistics
- Partner nations
- United StatesAustraliaEgypt
In The Last Decade
David S. Bolme
23 papers receiving 566 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 495
- Signal Processing 250
- Artificial Intelligence 51
- Information Systems 39
- Electrical and Electronic Engineering 34
Countries citing papers authored by David S. Bolme
This map shows the geographic impact of David S. Bolme'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 David S. Bolme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Bolme more than expected).
Fields of papers citing papers by David S. Bolme
This network shows the impact of papers produced by David S. Bolme. 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 David S. Bolme. The network helps show where David S. Bolme may publish in the future.
Co-authorship network of co-authors of David S. Bolme
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Bolme. A scholar is included among the top collaborators of David S. Bolme 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 David S. Bolme. David S. Bolme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Rifle-like camera for long distance face recognition | 1 |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 120 | |
| 11 | 98 | |
| 12 | Theory and applications of optimized correlation output filters | 4 |
| 13 | 12 | |
| 14 | 18 | |
| 15 | 18 | |
| 16 | 131 | |
| 17 | 20 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | 0 |
About David S. Bolme
David S. Bolme is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Archeology, having authored 25 papers that have together received 591 indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Face and Expression Recognition (13 papers) and Biometric Identification and Security (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (495 citations), Signal Processing (250 citations) and Human-Computer Interaction (30 citations). David S. Bolme has collaborated with scholars based in United States, Australia and Egypt. Frequent co-authors include J. Ross Beveridge, Bruce A. Draper, Yui Man Lui, P. Jonathon Phillips, Geof H. Givens, Nisha Srinivas, Karl Ricanek, Alice J. O’Toole, Patrick J. Flynn and William Scruggs. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Circuits and Systems I Regular Papers and Wiley Interdisciplinary Reviews Computational Statistics.
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.