Michael D. Garris

859 total citations
30 papers, 132 citations indexed

About

Michael D. Garris is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Michael D. Garris has authored 30 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 6 papers in Media Technology. Recurrent topics in Michael D. Garris's work include Handwritten Text Recognition Techniques (18 papers), Biometric Identification and Security (10 papers) and Image Processing and 3D Reconstruction (7 papers). Michael D. Garris is often cited by papers focused on Handwritten Text Recognition Techniques (18 papers), Biometric Identification and Security (10 papers) and Image Processing and 3D Reconstruction (7 papers). Michael D. Garris collaborates with scholars based in United States and Egypt. Michael D. Garris's co-authors include Charles L. Wilson, R. A. Wilkinson, Elham Tabassi, Stanley Janet, Jon Geist, Patrick Grother, Gerald T. Candela, James L. Blue, William W. Klein and Michael D. Indovina and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Social Science Computer Review.

In The Last Decade

Michael D. Garris

29 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Garris United States 7 97 36 33 28 14 30 132
Seung-Min Mun South Korea 9 266 2.7× 28 0.8× 49 1.5× 38 1.4× 11 0.8× 10 288
Haneol Jang South Korea 8 260 2.7× 32 0.9× 57 1.7× 29 1.0× 11 0.8× 21 285
Lorène Allano Germany 7 98 1.0× 25 0.7× 111 3.4× 14 0.5× 4 0.3× 8 158
Georg Thallinger Austria 8 157 1.6× 47 1.3× 36 1.1× 11 0.4× 3 0.2× 33 207
Tobias Scheidat Germany 9 126 1.3× 25 0.7× 126 3.8× 7 0.3× 16 1.1× 23 185
Ali Dabouei United States 8 93 1.0× 55 1.5× 62 1.9× 3 0.1× 18 1.3× 19 151
Thumrongrat Amornraksa Thailand 9 261 2.7× 13 0.4× 85 2.6× 33 1.2× 20 1.4× 66 286
Sobhan Soleymani United States 9 131 1.4× 54 1.5× 79 2.4× 3 0.1× 17 1.2× 19 176
Messaoud Bengherabi Algeria 8 162 1.7× 45 1.3× 111 3.4× 23 0.8× 2 0.1× 36 208
Xuanchong Li United States 5 219 2.3× 125 3.5× 12 0.4× 7 0.3× 6 0.4× 9 251

Countries citing papers authored by Michael D. Garris

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Garris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Garris. 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 Michael D. Garris. The network helps show where Michael D. Garris may publish in the future.

Co-authorship network of co-authors of Michael D. Garris

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Garris. A scholar is included among the top collaborators of Michael D. Garris 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 Michael D. Garris. Michael D. Garris 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.
Indovina, Michael D., et al.. (2009). An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II) | NIST. 5 indexed citations
2.
Garris, Michael D., et al.. (2007). Nonparametric statistical data analysis of fingerprint minutiae exchange with two-finger fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6539. 65390N–65390N. 1 indexed citations
3.
Garris, Michael D., et al.. (2006). Summary of April 2005 ANSI/NIST Fingerprint Standard Update Workshop. 4 indexed citations
4.
Garris, Michael D., James L. Blue, Gerald T. Candela, et al.. (2002). Off-line handwriting recognition from forms. 3. 2783–2788. 2 indexed citations
5.
Garris, Michael D.. (2002). Evaluating spatial correspondence of zones in document recognition systems. Proceedings - International Conference on Image Processing. 3. 304–307. 6 indexed citations
6.
Garris, Michael D., Stanley Janet, & William W. Klein. (1999). Federal Register document image database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3651. 97–97. 5 indexed citations
7.
Garris, Michael D.. (1997). Design of a handprint recognition system. Journal of Electronic Imaging. 6(2). 231–231. 1 indexed citations
8.
Garris, Michael D., et al.. (1996). Form design for high accuracy optical character recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(6). 653–656. 10 indexed citations
9.
Garris, Michael D.. (1996). Component-Based Handprint Segmentation Using Adaptive Writing Style Model | NIST. 3 indexed citations
10.
Garris, Michael D.. (1994). Correlated Run length Algorithm (CURL) for detecting form structure within digitized documents.. 6 indexed citations
11.
Garris, Michael D., James L. Blue, Gerald T. Candela, et al.. (1994). NIST Form-Based Handprint Recognition System | NIST. 11 indexed citations
12.
Garris, Michael D.. (1994). Design, Collection, and Analysis of Handwriting Sample Image Databases. 31. 7 indexed citations
13.
Garris, Michael D.. (1994). <title>Unconstrained handprint recognition using a limited lexicon</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2181. 36–46. 7 indexed citations
14.
Wilkinson, R. A., Michael D. Garris, & Jon Geist. (1993). <title>Machine-assisted human classification of segmented characters for OCR testing and training</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1906. 208–217. 4 indexed citations
15.
Wilkinson, R. A. & Michael D. Garris. (1992). <title>Comparison of massively parallel hand-print segmentors</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1825. 304–313. 2 indexed citations
16.
Garris, Michael D. & Charles L. Wilson. (1992). <title>Reject mechanisms for massively parallel neural network character recognition systems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1766. 413–424. 1 indexed citations
17.
Garris, Michael D.. (1992). Design and Collection of a Handwriting Sample Image Database. Social Science Computer Review. 10(2). 196–214. 8 indexed citations
18.
Garris, Michael D., Charles L. Wilson, James L. Blue, et al.. (1992). <title>Massively parallel implementation of character recognition systems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1661. 269–280. 3 indexed citations
19.
Garris, Michael D., R. A. Wilkinson, & Charles L. Wilson. (1991). Analysis of a biologically motivated neural network for character recognition. 160–175. 9 indexed citations
20.
Wilson, Charles L., R. A. Wilkinson, & Michael D. Garris. (1990). Self-organizing neural network character recognition on a massively parallel computer. 325–329 vol.2. 6 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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