Mark S. Schmalz

502 total citations
79 papers, 289 citations indexed

About

Mark S. Schmalz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Mark S. Schmalz has authored 79 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Mark S. Schmalz's work include Advanced Data Compression Techniques (15 papers), Medical Image Segmentation Techniques (9 papers) and CCD and CMOS Imaging Sensors (9 papers). Mark S. Schmalz is often cited by papers focused on Advanced Data Compression Techniques (15 papers), Medical Image Segmentation Techniques (9 papers) and CCD and CMOS Imaging Sensors (9 papers). Mark S. Schmalz collaborates with scholars based in United States, Mexico and Switzerland. Mark S. Schmalz's co-authors include Sumi Helal, Diane J. Cook, Gerhard X. Ritter, Gonzalo Urcid, Sanjay Ranka, Sartaj Sahni, Uttam Majumder, Frank M. Caimi, Helmut Schaeben and Wen‐Chen Hu and has published in prestigious journals such as Neurocomputing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Inverse Problems.

In The Last Decade

Mark S. Schmalz

66 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Schmalz United States 8 121 67 58 42 42 79 289
Bruno Cernuschi-Frías Argentina 9 152 1.3× 50 0.7× 41 0.7× 25 0.6× 18 0.4× 61 275
Muhammad Asif Khan Pakistan 13 231 1.9× 56 0.8× 133 2.3× 29 0.7× 31 0.7× 39 436
J.G.M. Schavemaker Netherlands 8 112 0.9× 41 0.6× 60 1.0× 53 1.3× 17 0.4× 24 291
Meer United States 4 261 2.2× 53 0.8× 81 1.4× 66 1.6× 8 0.2× 4 373
Lonnie C. Ludeman United States 7 58 0.5× 22 0.3× 37 0.6× 20 0.5× 25 0.6× 19 235
Norikazu Ikoma Japan 9 150 1.2× 90 1.3× 235 4.1× 26 0.6× 46 1.1× 77 369
Y. S. Ivanov Russia 9 42 0.3× 23 0.3× 55 0.9× 15 0.4× 19 0.5× 43 193
M. Judd United States 13 152 1.3× 131 2.0× 137 2.4× 11 0.3× 57 1.4× 24 399
Yunfei Guo China 11 42 0.3× 115 1.7× 195 3.4× 16 0.4× 49 1.2× 71 341

Countries citing papers authored by Mark S. Schmalz

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Schmalz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Schmalz. 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 Mark S. Schmalz. The network helps show where Mark S. Schmalz may publish in the future.

Co-authorship network of co-authors of Mark S. Schmalz

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Schmalz. A scholar is included among the top collaborators of Mark S. Schmalz 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 Mark S. Schmalz. Mark S. Schmalz 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.
Papa, Linda, et al.. (2013). A Method for Linking Motor Vehicle Victim and Collision Data Collected by Multiple County Agencies. Traffic Injury Prevention. 15(1). 18–24. 1 indexed citations
2.
Ranka, Sanjay, et al.. (2010). Parallel processing techniques for the processing of synthetic aperture radar data on FPGAs. 17–22. 15 indexed citations
3.
Schmalz, Mark S., et al.. (2009). Supporting image algebra in the Matlab programming language for compression research. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7444. 744404–744404. 1 indexed citations
4.
Schmalz, Mark S., et al.. (2008). It/cs workshop. 23–30.
5.
Ritter, Gerhard X., Gonzalo Urcid, & Mark S. Schmalz. (2005). Lattice associative memories that are robust in the presence of noise. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5916. 59160Q–59160Q. 6 indexed citations
6.
Schmalz, Mark S.. (2003). Object-Based Image Compression. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4793. 13–13. 4 indexed citations
7.
Schmalz, Mark S. & Frank M. Caimi. (2001). <title>Spatial exemplars and metrics for characterizing image compression transform error</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4475. 67–79.
8.
Schmalz, Mark S.. (2000). Mathematics and Applications of Data/Image Coding, Compression, and Encryption III. 4122. 1 indexed citations
9.
Schmalz, Mark S.. (2000). <title>Power-and space-efficient image computation with compressive processing: II. Models and simulation results</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4122. 159–175.
10.
Schmalz, Mark S.. (1998). Mathematics of Data/Image Coding, Compression and Encryption. 3456. 2 indexed citations
11.
Caimi, Frank M., Mark S. Schmalz, & Gerhard X. Ritter. (1998). <title>Image quality measures for performance assessment of compresssion transforms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3456. 136–152. 3 indexed citations
12.
Hu, Wen‐Chen, Gerhard X. Ritter, & Mark S. Schmalz. (1998). Approximating the longest approximate common subsequence problem. 166–172. 2 indexed citations
13.
Schmalz, Mark S., Gerhard X. Ritter, & Frank M. Caimi. (1997). <title>Performance analysis of compression algorithms for noisy multispectral underwater images of small targets</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3079. 191–202.
14.
Schmalz, Mark S.. (1997). <title>Automated analysis and prediction of accuracy and performance in ATR algorithms: II. Experimental results and system performance analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3079. 261–272. 2 indexed citations
15.
Schmalz, Mark S.. (1996). <title>Advances in predicting spatial deformations in imagery acquired by viewing through the sea surface</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2765. 526–537. 2 indexed citations
16.
Schmalz, Mark S.. (1995). <title>Introduction to the recognition of patterns in compressed data: optical processing of data transformed by block-, transform-, and runlength-encoding, as well as vector quantization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2490. 334–349. 1 indexed citations
17.
Dankel, Douglas D., et al.. (1994). An architecture for defining features and exploring interactions.. 258–271. 1 indexed citations
18.
Schmalz, Mark S.. (1993). <title>Spatial transformation architectures with applications: an introduction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1961. 55–66. 1 indexed citations
19.
Schmalz, Mark S.. (1990). <title>Rectification of refractively distorted imagery acquired through the sea surface: an image algebra formation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1350. 209–230. 1 indexed citations
20.
Schmalz, Mark S. & Frank M. Caimi. (1987). Deformation-Tolerant Statistical Correctors For Enhancement Of Ship Silhouette Recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 781. 148–148. 1 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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