Stanley Dunn

829 total citations
46 papers, 615 citations indexed

About

Stanley Dunn is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Stanley Dunn has authored 46 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Stanley Dunn's work include Medical Image Segmentation Techniques (9 papers), Dental Radiography and Imaging (8 papers) and Image Retrieval and Classification Techniques (5 papers). Stanley Dunn is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Dental Radiography and Imaging (8 papers) and Image Retrieval and Classification Techniques (5 papers). Stanley Dunn collaborates with scholars based in United States, Netherlands and Germany. Stanley Dunn's co-authors include Larry S. Davis, Mel L. Kantor, Charles M. Roth, André Mol, Philip Thrift, Jana L. Gevertz, Ludvík Janoš, Dennis P. Carmody, Claudia Mello‐Thoms and Calvin F. Nodine and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Child Development and Communications of the ACM.

In The Last Decade

Stanley Dunn

43 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley Dunn United States 16 152 125 94 86 71 46 615
Guido de Jong Netherlands 12 140 0.9× 153 1.2× 55 0.6× 219 2.5× 51 0.7× 33 620
Clifford Ruff United Kingdom 13 114 0.8× 23 0.2× 83 0.9× 72 0.8× 51 0.7× 22 454
Yi Fan China 13 171 1.1× 79 0.6× 471 5.0× 394 4.6× 57 0.8× 54 882
Muthu Subash Kavitha Japan 15 149 1.0× 218 1.7× 211 2.2× 217 2.5× 57 0.8× 76 835
Jonathan Boisvert Canada 19 207 1.4× 28 0.2× 79 0.8× 336 3.9× 42 0.6× 61 1.1k
Ingela Nyström Sweden 15 366 2.4× 276 2.2× 60 0.6× 76 0.9× 34 0.5× 62 951
Tim J. Hutton United Kingdom 14 195 1.3× 131 1.0× 14 0.1× 72 0.8× 203 2.9× 23 1.0k
Julien Jomier United States 13 259 1.7× 20 0.2× 308 3.3× 175 2.0× 33 0.5× 32 746
Ewa Piętka Poland 18 402 2.6× 226 1.8× 333 3.5× 289 3.4× 79 1.1× 81 1.3k
Tai‐Hsien Wu United States 13 52 0.3× 219 1.8× 27 0.3× 107 1.2× 73 1.0× 42 779

Countries citing papers authored by Stanley Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Stanley Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanley Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Dunn. A scholar is included among the top collaborators of Stanley Dunn 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 Stanley Dunn. Stanley Dunn 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.
Ziemba, Alexis M., et al.. (2020). Bone Marrow-Derived and Elicited Peritoneal Macrophages Are Not Created Equal: The Questions Asked Dictate the Cell Type Used. Frontiers in Immunology. 11. 269–269. 38 indexed citations
2.
Goren, Arthur D., et al.. (2008). Pilot study: digital subtraction radiography as a tool to assess alveolar bone changes in periodontitis patients under treatment with subantimicrobial doses of doxycycline. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 106(4). e40–e45. 3 indexed citations
3.
Carmody, Dennis P., Margaret Bendersky, Stanley Dunn, et al.. (2006). Early Risk, Attention, and Brain Activation in Adolescents Born Preterm. Child Development. 77(2). 384–394. 24 indexed citations
4.
Gevertz, Jana L., Stanley Dunn, & Charles M. Roth. (2005). Mathematical model of real‐time PCR kinetics. Biotechnology and Bioengineering. 92(3). 346–355. 61 indexed citations
5.
Guo, Zhixiong, et al.. (2004). Optical imaging of breast tumor through temporal log-slope difference mappings. Computers in Biology and Medicine. 36(2). 209–223. 33 indexed citations
6.
Mol, André & Stanley Dunn. (2003). The performance of projective standardization for digital subtraction radiography. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 96(3). 373–382. 26 indexed citations
7.
Mello‐Thoms, Claudia, Stanley Dunn, Calvin F. Nodine, Harold L. Kundel, & Susan P. Weinstein. (2002). The Perception of Breast Cancer. Academic Radiology. 9(9). 1004–1012. 41 indexed citations
8.
Mello‐Thoms, Claudia, Stanley Dunn, Calvin F. Nodine, & Harold L. Kundel. (2001). An analysis of perceptual errors in reading mammograms using quasi-local spatial frequency spectra. Journal of Digital Imaging. 14(3). 117–123. 19 indexed citations
9.
Carmody, Dennis P., et al.. (2001). Machine Classification of Dental Images with Visual Search. Academic Radiology. 8(12). 1239–1246. 21 indexed citations
10.
Burdea, Grigore, et al.. (1999). Evaluation of robot-based registration for subtraction radiography. Medical Image Analysis. 3(3). 265–274. 20 indexed citations
11.
Phillips, Preetha, Yehuda Vardi, Stanley Dunn, Monte S. Buchsbaum, & Jacqueline Spiegel-Cohen. (1998). Automatic MR-PET registration algorithm. International Journal of Imaging Systems and Technology. 9(1). 46–50. 1 indexed citations
12.
Ostuni, John & Stanley Dunn. (1997). Measuring registration potential in planar transmission images. Computerized Medical Imaging and Graphics. 21(2). 103–110. 4 indexed citations
13.
Ciaccio, Edward J., et al.. (1994). Localized spatial discrimination of epicardial conduction paths after linear transformation of variant information. Annals of Biomedical Engineering. 22(5). 480–492. 7 indexed citations
14.
Dunn, Stanley, et al.. (1994). MRI assessment of the normal temporomandibular joint with the use of projective geometry. Oral Surgery Oral Medicine Oral Pathology. 77(5). 523–530. 25 indexed citations
15.
Dunn, Stanley, et al.. (1992). Interpreting HVEM of muscle-cell impulse networks. Proceedings annual meeting Electron Microscopy Society of America. 50(1). 126–127.
16.
Dunn, Stanley, et al.. (1991). <title>Segmentation using models of expected structure</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1381. 470–481.
17.
Dunn, Stanley, et al.. (1991). Hierarchical local symmetries. Pattern Recognition Letters. 12(6). 343–347. 2 indexed citations
18.
Davis, Larry S., et al.. (1987). Texture discrimination by projective invariants. Pattern Recognition Letters. 5(5). 337–342. 16 indexed citations
19.
Dunn, Stanley, David Harwood, & Larry S. Davis. (1984). Local Estimation of the Uniform Error Threshold. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(6). 742–747. 22 indexed citations
20.
Davis, Larry S., Ludvík Janoš, & Stanley Dunn. (1983). Efficient Recovery of Shape from Texture. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-5(5). 485–492. 41 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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