David Casasent

712 total citations
50 papers, 513 citations indexed

About

David Casasent is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David Casasent has authored 50 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David Casasent's work include Photonic and Optical Devices (14 papers), Optical Network Technologies (13 papers) and Semiconductor Lasers and Optical Devices (11 papers). David Casasent is often cited by papers focused on Photonic and Optical Devices (14 papers), Optical Network Technologies (13 papers) and Semiconductor Lasers and Optical Devices (11 papers). David Casasent collaborates with scholars based in United States, Germany and China. David Casasent's co-authors include Demetri Psaltis, C. Gordon Bell, James Bell, Etienne Barnard, B. V. K. Vijaya Kumar, Xuewen Chen, Elizabeth Botha, Srinivas Bollapragada, Gopalan Ravichandran and Thomas F. Schatzki and has published in prestigious journals such as Proceedings of the IEEE, Pattern Recognition and IEEE Transactions on Computers.

In The Last Decade

David Casasent

47 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Casasent United States 14 185 143 139 87 75 50 513
P.B. Denyer United Kingdom 15 422 2.3× 66 0.5× 63 0.5× 15 0.2× 59 0.8× 76 677
Maurice F. Aburdene United States 10 54 0.3× 130 0.9× 83 0.6× 26 0.3× 18 0.2× 68 377
M. Shand United States 10 143 0.8× 16 0.1× 107 0.8× 75 0.9× 156 2.1× 24 615
Feng-Cheng Chang Taiwan 11 99 0.5× 26 0.2× 291 2.1× 16 0.2× 61 0.8× 97 552
S. Bass United States 10 135 0.7× 9 0.1× 56 0.4× 32 0.4× 76 1.0× 32 481
Izidor Gertner United States 8 31 0.2× 20 0.1× 154 1.1× 20 0.2× 39 0.5× 32 304
H. Park United States 9 51 0.3× 75 0.5× 388 2.8× 10 0.1× 183 2.4× 12 764
S.D. Bedrosian United States 11 92 0.5× 11 0.1× 33 0.2× 23 0.3× 47 0.6× 47 354
Amir Fijany United States 13 173 0.9× 6 0.0× 61 0.4× 105 1.2× 64 0.9× 66 597
Wei Pan China 13 193 1.0× 29 0.2× 139 1.0× 120 1.4× 161 2.1× 49 522

Countries citing papers authored by David Casasent

Since Specialization
Citations

This map shows the geographic impact of David Casasent'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 Casasent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Casasent more than expected).

Fields of papers citing papers by David Casasent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Casasent. 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 Casasent. The network helps show where David Casasent may publish in the future.

Co-authorship network of co-authors of David Casasent

This figure shows the co-authorship network connecting the top 25 collaborators of David Casasent. A scholar is included among the top collaborators of David Casasent 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 Casasent. David Casasent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Casasent, David, et al.. (2003). Determining the average annual ring width on the front side of lumber. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5144. 707–707. 14 indexed citations
2.
Casasent, David, et al.. (1998). Global feature space neural network for active computer vision. Neural Computing and Applications. 7(3). 195–215. 6 indexed citations
3.
Casasent, David, et al.. (1998). RI-MINACE FILTERS TO AUGMENT SEGMENTATION OF TOUCHING OBJECTS. Pattern Recognition. 31(9). 1311–1317. 3 indexed citations
4.
Casasent, David & Elizabeth Botha. (1990). A Symbolic Neural Net Production System: Obstacle Avoidance, Navigation, Shift-Invariance And Multiple Objects. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1195. 280–280.
5.
Barnard, Etienne & David Casasent. (1989). New Optical Neural System Architectures And Applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 963. 537–537. 3 indexed citations
6.
Clark, David & David Casasent. (1988). Optical Feature Extraction For High-Speed Inspection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 848. 13–13. 3 indexed citations
7.
Casasent, David & Anjan Ghosh. (1988). Reduced sensitivity algorithm for optical processors using constraints and ridge regression. Applied Optics. 27(8). 1607–1607. 4 indexed citations
8.
Casasent, David, et al.. (1988). Hough transform projections and slices for object discrimination and distortion estimation. Applied Optics. 27(16). 3451–3451. 4 indexed citations
9.
Casasent, David, et al.. (1987). Real-time deformation invariant optical pattern recognition using coordinate transformations. Applied Optics. 26(5). 938–938. 22 indexed citations
10.
Baranoski, E.J. & David Casasent. (1987). Directed Graph Optical Processor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 752. 58–58. 1 indexed citations
11.
Casasent, David, et al.. (1986). Computer-generated and phase-only synthetic discriminant function filters. Applied Optics. 25(20). 3767–3767. 23 indexed citations
12.
Casasent, David, et al.. (1985). Banded-matrix high-performance algorithm and architecture. Applied Optics. 24(10). 1476–1476. 29 indexed citations
13.
Casasent, David, et al.. (1982). Optical system to compute intensity moments: design. Applied Optics. 21(18). 3292–3292. 22 indexed citations
14.
Kumar, B. V. K. Vijaya & David Casasent. (1981). Eigenvector determination by iterative optical methods. Applied Optics. 20(21). 3707–3707. 7 indexed citations
15.
Casasent, David. (1980). Optical processing for adaptive phased-array radar. IEE Proceedings F Communications, Radar and Signal Processing. 127(4). 278–284. 4 indexed citations
16.
Casasent, David. (1980). <title>Review Of Optical Signal Processor Architectures For Command, Control, Communications And Intelligence (C³I) Applications</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 209. 4–9.
17.
Barniv, Yair, Hassan Mostafavi, & David Casasent. (1980). <title>Correlation Of Images With Random Contrast Reversals</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 238. 156–165. 1 indexed citations
18.
Casasent, David & Demetri Psaltis. (1979). <title>Optical Pattern Recognition Using Normalized Invariant Moments</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 201. 107–114. 6 indexed citations
19.
Casasent, David, et al.. (1975). Introduction to the Special Issue on Optical Computing. IEEE Transactions on Computers. C-24(4). 337–339. 1 indexed citations
20.
Bell, James, David Casasent, & C. Gordon Bell. (1974). An Investigation of Alternative Cache Organizations. IEEE Transactions on Computers. C-23(4). 346–351. 50 indexed citations

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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