David S. Bolme

1.2k total citations
25 papers, 591 citations indexed

About

David S. Bolme is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, David S. Bolme has authored 25 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in David S. Bolme's work include Face recognition and analysis (17 papers), Face and Expression Recognition (13 papers) and Biometric Identification and Security (11 papers). David S. Bolme is often cited by papers focused on Face recognition and analysis (17 papers), Face and Expression Recognition (13 papers) and Biometric Identification and Security (11 papers). David S. Bolme collaborates with scholars based in United States, Australia and Egypt. David S. Bolme's 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, Joseph Dunlop and Samuel Weimer and has published in prestigious journals such as Image and Vision Computing, IEEE Transactions on Circuits and Systems I Regular Papers and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

David S. Bolme

23 papers receiving 566 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David S. Bolme United States	12	495	250	51	39	34	25	591
Xiaozheng Zhang Australia	10	681 1.4×	451 1.8×	30 0.6×	15 0.4×	30 0.9×	29	762
Guangda Su China	10	371 0.7×	164 0.7×	39 0.8×	33 0.8×	29 0.9×	60	454
Gabriele Sabatino Italy	4	521 1.1×	253 1.0×	28 0.5×	41 1.1×	13 0.4×	7	595
Filareti Tsalakanidou Greece	13	420 0.8×	125 0.5×	29 0.6×	32 0.8×	27 0.8×	28	565
Erik Hjelmås Tunisia	3	580 1.2×	98 0.4×	46 0.9×	15 0.4×	23 0.7×	3	649
Abdolah Chalechale Iran	11	373 0.8×	71 0.3×	64 1.3×	51 1.3×	24 0.7×	64	548
Ernestasia Siahaan Taiwan	11	492 1.0×	139 0.6×	42 0.8×	8 0.2×	37 1.1×	17	734
Chi Fang China	10	334 0.7×	133 0.5×	33 0.6×	27 0.7×	8 0.2×	39	432

Countries citing papers authored by David S. Bolme

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bolme, David S.. (2023). Rifle-like camera for long distance face recognition. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Karnowski, Thomas P., et al.. (2020). Evaluating Automated Face Identity-Masking Methods with Human Perception and a Deep Convolutional Neural Network. ACM Transactions on Applied Perception. 18(1). 1–20. 4 indexed citations

Bolme, David S., et al.. (2020). Face Recognition Oak Ridge (FaRO): A Framework for Distributed and Scalable Biometrics Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 3 indexed citations

Bolme, David S., et al.. (2019). Effects of Postmortem Decomposition on Face Recognition. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 4 indexed citations

Srinivas, Nisha, et al.. (2019). Face Recognition Algorithm Bias: Performance Differences on Images of Children and Adults. 2269–2277. 30 indexed citations

Santos-Villalobos, Hector, et al.. (2019). Through the windshield driver recognition. Electronic Imaging. 31(13). 140–1. 2 indexed citations

Britton, C.L., et al.. (2018). A Digitally Interfaced Analog Correlation Filter System for Object Tracking Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 65(9). 2764–2773. 10 indexed citations

Karnowski, Thomas P., et al.. (2017). Evaluation of Automated Identity Masking Method (AIM) in Naturalistic Driving Study (NDS). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 378–385. 1 indexed citations

Srinivas, Nisha, et al.. (2017). Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset. 953–960. 29 indexed citations

10.

Bolme, David S., et al.. (2016). Impact of environmental factors on biometric matching during human decomposition. 1–8. 11 indexed citations

11.

Beveridge, J. Ross, Kevin W. Bowyer, Patrick J. Flynn, et al.. (2013). The challenge of face recognition from digital point-and-shoot cameras. 1–8. 120 indexed citations

12.

Beveridge, Ross & David S. Bolme. (2011). Theory and applications of optimized correlation output filters. 4 indexed citations

13.

Beveridge, J. Ross, et al.. (2011). Biometric zoos: Theory and experimental evidence. 1–8. 12 indexed citations

14.

Phillips, P. Jonathon, J. Ross Beveridge, Bruce A. Draper, et al.. (2011). An introduction to the good, the bad, & the ugly face recognition challenge problem. 346–353. 98 indexed citations

15.

Beveridge, J. Ross, et al.. (2011). When high-quality face images match poorly. 18 indexed citations

16.

Beveridge, J. Ross, David S. Bolme, Bruce A. Draper, et al.. (2010). Quantifying how lighting and focus affect face recognition performance. 74–81. 18 indexed citations

17.

Bolme, David S., Bruce A. Draper, & J. Ross Beveridge. (2009). Average of Synthetic Exact Filters. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2105–2112. 131 indexed citations

18.

Beveridge, J. Ross, Geof H. Givens, P. Jonathon Phillips, et al.. (2009). FRVT 2006: Quo Vadis face quality. Image and Vision Computing. 28(5). 732–743. 20 indexed citations

19.

Bolme, David S., J. Ross Beveridge, & Adele E. Howe. (2007). Person Identification Using Text and Image Data. 1–6. 2 indexed citations

20.

Rimey, Raymond D. & David S. Bolme. (2007). Re-using millions of visualizations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6495. 649504–649504.

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.

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