Duane M. Blackburn
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems
- Media Technology
- Artificial Intelligence
- Co-authors
- P. Jonathon PhillipsRoss J. MichealsElham TabassiPatrick GrotherMartyn BoneMike BonePreetha PhillipsChris Miles
- Topics
- Biometric Identification and Security (2 papers)User Authentication and Security Systems (2 papers)Research, Science, and Academia (1 paper)
- Partner nations
- United States
In The Last Decade
Duane M. Blackburn
7 papers receiving 297 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 292
- Signal Processing 159
- Information Systems 28
- Media Technology 24
- Artificial Intelligence 18
Countries citing papers authored by Duane M. Blackburn
This map shows the geographic impact of Duane M. Blackburn'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 Duane M. Blackburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duane M. Blackburn more than expected).
Fields of papers citing papers by Duane M. Blackburn
This network shows the impact of papers produced by Duane M. Blackburn. 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 Duane M. Blackburn. The network helps show where Duane M. Blackburn may publish in the future.
Co-authorship network of co-authors of Duane M. Blackburn
This figure shows the co-authorship network connecting the top 25 collaborators of Duane M. Blackburn. A scholar is included among the top collaborators of Duane M. Blackburn 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 Duane M. Blackburn. Duane M. Blackburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Innovation Landscape and Government's Future Role | 2 |
| 2 | Biometrics "Foundation Documents" | 6 |
| 3 | 220 | |
| 4 | Biometrics for Narcoterrorist Watch List Applications | 2 |
| 5 | Face Recognition Vendor Test 2002: Overview and Summary | 36 |
| 6 | Face Recognition Vendor Test 2002: Technical Appendices | 3 |
| 7 | Face Recognition at a Chokepoint: Scenario Evaluation Results | 10 |
| 8 | Facial Recognition Vendor Test 2000: Evaluation Report | 62 |
About Duane M. Blackburn
Duane M. Blackburn is a scholar working on Signal Processing, Information Systems and Management and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 341 indexed citations. Recurring topics across this work include Biometric Identification and Security (2 papers), User Authentication and Security Systems (2 papers) and Research, Science, and Academia (1 paper). The work is most often cited by research in Signal Processing (159 citations), Computer Vision and Pattern Recognition (292 citations) and Media Technology (24 citations). Duane M. Blackburn has collaborated with scholars based in United States. Frequent co-authors include P. Jonathon Phillips, Ross J. Micheals, Elham Tabassi, Patrick Grother, Martyn Bone, Mike Bone, Preetha Phillips, Chris Miles, Mark T. Maybury and Bradford J. Wood.
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.