Stephen M. Pizer

15.7k total citations · 4 hit papers
234 papers, 9.8k citations indexed

About

Stephen M. Pizer is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Stephen M. Pizer has authored 234 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Vision and Pattern Recognition, 47 papers in Computational Mechanics and 41 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Stephen M. Pizer's work include Medical Image Segmentation Techniques (107 papers), 3D Shape Modeling and Analysis (43 papers) and Computer Graphics and Visualization Techniques (40 papers). Stephen M. Pizer is often cited by papers focused on Medical Image Segmentation Techniques (107 papers), 3D Shape Modeling and Analysis (43 papers) and Computer Graphics and Visualization Techniques (40 papers). Stephen M. Pizer collaborates with scholars based in United States, Norway and Canada. Stephen M. Pizer's co-authors include John B. Zimmerman, Robert Cromartie, John D. Austin, Bart M. ter Haar Romeny, Karel J. Zuiderveld, Trey Greer, Keith E. Muller, P. Thomas Fletcher, Richard Johnston and Henry Fuchs and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Stephen M. Pizer

223 papers receiving 9.2k citations

Hit Papers

Adaptive histogram equalization and its variations 1987 2026 2000 2013 1987 1998 2004 2002 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Pizer United States 42 6.3k 1.9k 1.3k 1.2k 1.1k 234 9.8k
Allen Tannenbaum United States 55 5.7k 0.9× 1.7k 0.9× 687 0.5× 1.9k 1.6× 1.0k 0.9× 428 15.6k
Vicent Caselles Spain 38 7.6k 1.2× 1.0k 0.5× 1.2k 0.9× 1.6k 1.3× 776 0.7× 125 10.3k
Olivier Faugeras France 63 12.2k 1.9× 1.2k 0.6× 1.9k 1.4× 1.4k 1.2× 778 0.7× 295 16.2k
Ron Kimmel Israel 56 10.9k 1.7× 1.3k 0.7× 1.4k 1.1× 4.4k 3.7× 1.1k 1.1× 212 14.7k
Anthony Yezzi United States 39 4.9k 0.8× 1.2k 0.6× 487 0.4× 864 0.7× 711 0.7× 188 6.7k
Michael Kass United States 22 11.1k 1.8× 2.0k 1.0× 1.2k 1.0× 3.1k 2.6× 1.5k 1.4× 35 16.0k
Baba C. Vemuri United States 39 4.5k 0.7× 2.5k 1.3× 433 0.3× 1.4k 1.2× 740 0.7× 202 8.3k
Jayaram K. Udupa United States 59 5.7k 0.9× 3.8k 2.0× 573 0.4× 803 0.7× 1.2k 1.2× 428 12.1k
Ross Whitaker United States 48 3.8k 0.6× 1.4k 0.7× 416 0.3× 2.1k 1.8× 522 0.5× 233 8.0k
Dirk Vandermeulen Belgium 44 5.7k 0.9× 3.7k 1.9× 509 0.4× 610 0.5× 1.0k 1.0× 200 11.0k

Countries citing papers authored by Stephen M. Pizer

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Pizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Pizer. 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 Stephen M. Pizer. The network helps show where Stephen M. Pizer may publish in the future.

Co-authorship network of co-authors of Stephen M. Pizer

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Pizer. A scholar is included among the top collaborators of Stephen M. Pizer 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 Stephen M. Pizer. Stephen M. Pizer 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.
Damon, James, et al.. (2023). Geometric and Statistical Models for Analysis of Two-Object Complexes. International Journal of Computer Vision. 131(8). 1877–1891. 1 indexed citations
2.
Vicory, Jared, Ye Han, Juan Carlos Prieto, et al.. (2023). SlicerSALT: From Medical Images to Quantitative Insights of Anatomy. Lecture notes in computer science. 14350. 201–210.
3.
Schulz, Jörn, et al.. (2022). Analysis of Joint Shape Variation from Multi-Object Complexes. Journal of Mathematical Imaging and Vision. 65(3). 542–562. 2 indexed citations
4.
Wang, Rui, et al.. (2018). Deforming generalized cylinders without self-intersection by means of a parametric center curve. Computational Visual Media. 4(4). 305–321. 3 indexed citations
5.
Styner, Martin, Jared Vicory, Shireen Elhabian, et al.. (2017). Skeletal Shape Correspondence Through Entropy. IEEE Transactions on Medical Imaging. 37(1). 1–11. 19 indexed citations
6.
Zhao, Qingyu, et al.. (2015). Surface Registration in the Presence of Missing Patches and Topology Change.. 8–13. 5 indexed citations
7.
Siddiqi, Kaleem & Stephen M. Pizer. (2008). Medial Representations: Mathematics, Algorithms and Applications. CERN Document Server (European Organization for Nuclear Research). 203 indexed citations
8.
Damon, James, et al.. (2007). Population-Based Fitting of Medial Shape Models with Correspondence Optimization. Lecture notes in computer science. 20. 700–712. 5 indexed citations
9.
Chaney, Edward L., Stephen M. Pizer, Sarang Joshi, et al.. (2004). Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models. International Journal of Radiation Oncology*Biology*Physics. 60(1). S153–S154. 13 indexed citations
10.
Lu, Chao, et al.. (2003). A Markov Random Field Approach to Multi-scale Shape Analysis. 1 indexed citations
11.
Pizer, Stephen M., Andrew Thall, & David Chen. (1999). M-Reps: A New Object Representation for Graphics. Journal of Internal Medicine. 270(4). 356–64. 18 indexed citations
12.
Bullitt, E., et al.. (1997). Three‐dimensional reconstruction of curves from pairs of projection views in the presence of error. II. Analysis of error. Medical Physics. 24(11). 1679–1687. 13 indexed citations
13.
Interrante, Victoria, Henry Fuchs, & Stephen M. Pizer. (1995). Enhancing transparent skin surfaces with ridge and valley lines. IEEE Visualization. 52–59. 95 indexed citations
14.
Burbeck, Christina A. & Stephen M. Pizer. (1995). Object representation by cores: Identifying and representing primitive spatial regions. Vision Research. 35(13). 1917–1930. 124 indexed citations
15.
Höhne, Κ. H., Henry Fuchs, & Stephen M. Pizer. (1990). 3D imaging in medicine : algorithms, systems, applications. Springer eBooks. 56 indexed citations
16.
Gauch, John M. & Stephen M. Pizer. (1989). The multiresolution intensity axis of symmetry and its application to image segmentation. 22(15). 36–36. 7 indexed citations
17.
Pizer, Stephen M., et al.. (1987). Proceedings of the 1986 workshop on Interactive 3D graphics. 27 indexed citations
18.
Pizer, Stephen M.. (1983). To compute numerically: Concepts and strategies (Little, Brown computer systems series). 4(6). 1251–6. 7 indexed citations
19.
Pizer, Stephen M. & Victor L. Wallace. (1983). To compute numerically : concepts and strategies. Little, Brown eBooks. 13 indexed citations
20.
Heinz, R, Philip J. Dubois, B P Drayer, et al.. (1980). Intravenous Carotid Imaging Utilizing the 3Rd Dimension. American Journal of Neuroradiology. 1(4). 363–363. 2 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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