Michael A. Pratt

1.3k total citations · 1 hit paper
8 papers, 987 citations indexed

About

Michael A. Pratt is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Artificial Intelligence. According to data from OpenAlex, Michael A. Pratt has authored 8 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Sensory Systems and 1 paper in Artificial Intelligence. Recurrent topics in Michael A. Pratt's work include Visual Attention and Saliency Detection (4 papers), Image and Video Quality Assessment (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Michael A. Pratt is often cited by papers focused on Visual Attention and Saliency Detection (4 papers), Image and Video Quality Assessment (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Michael A. Pratt collaborates with scholars based in United States and Australia. Michael A. Pratt's co-authors include James F. Sallis, Adrian Bauman, Chee‐Hung Henry Chu, Anurag Singh and Stephen T.C. Wong and has published in prestigious journals such as American Journal of Preventive Medicine, International Journal of Intelligent Computing and Cybernetics and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Michael A. Pratt

7 papers receiving 902 citations

Hit Papers

Environmental and policy interventions to promote physica... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Pratt United States 5 473 471 375 200 183 8 987
Richard Prins Netherlands 20 573 1.2× 314 0.7× 253 0.7× 217 1.1× 141 0.8× 32 1.0k
Cassiano Ricardo Rech Brazil 19 327 0.7× 600 1.3× 587 1.6× 129 0.6× 332 1.8× 159 1.4k
Femke De Meester Belgium 16 715 1.5× 583 1.2× 439 1.2× 248 1.2× 106 0.6× 19 1.2k
Jonathan Kurka United States 14 252 0.5× 371 0.8× 336 0.9× 118 0.6× 154 0.8× 22 865
Yumiko Ohya Japan 15 327 0.7× 214 0.5× 267 0.7× 157 0.8× 296 1.6× 33 897
Pippa Griew United Kingdom 11 542 1.1× 583 1.2× 382 1.0× 222 1.1× 113 0.6× 11 1.2k
Rogério César Fermino Brazil 16 341 0.7× 360 0.8× 283 0.8× 189 0.9× 150 0.8× 83 952
Gail Regan United States 10 291 0.6× 292 0.6× 141 0.4× 126 0.6× 115 0.6× 12 649
Josef Mitáš Czechia 21 908 1.9× 737 1.6× 662 1.8× 542 2.7× 205 1.1× 76 1.7k
S. Kremers Netherlands 7 255 0.5× 715 1.5× 380 1.0× 87 0.4× 186 1.0× 13 960

Countries citing papers authored by Michael A. Pratt

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Pratt

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

All Works

8 of 8 papers shown
1.
Singh, Anurag, Chee‐Hung Henry Chu, & Michael A. Pratt. (2015). Learning to Predict Video Saliency using Temporal Superpixels. 201–209. 13 indexed citations
2.
Singh, Anurag, Chee‐Hung Henry Chu, & Michael A. Pratt. (2015). Saliency Detection using Geometric Context Contrast Inferred from Natural Images. 609–616. 3 indexed citations
3.
Singh, Anurag, Chee‐Hung Henry Chu, & Michael A. Pratt. (2014). Multiresolution superpixels for visual saliency detection. 1–8. 6 indexed citations
4.
Singh, Anurag, Michael A. Pratt, & Chee‐Hung Henry Chu. (2013). Visual saliency approach to anomaly detection in an image ensemble. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8750. 87500T–87500T.
5.
Pratt, Michael A., et al.. (2010). Variable patch sizes for normalized cross correlation in image pairs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7703. 77030Z–77030Z. 4 indexed citations
6.
Pratt, Michael A., et al.. (2008). Texture‐based image steganalysis by artificial neural networks. International Journal of Intelligent Computing and Cybernetics. 1(4). 549–562. 4 indexed citations
7.
Sallis, James F., Adrian Bauman, & Michael A. Pratt. (1998). Environmental and policy interventions to promote physical activityaaThis work was prepared for the CIAR Conference on Physical Activity Promotion: An ACSM Specialty Conference.. American Journal of Preventive Medicine. 15(4). 379–397. 942 indexed citations breakdown →
8.
Pratt, Michael A., Chee‐Hung Henry Chu, & Stephen T.C. Wong. (1996). <title>Volume compression of MRI data using zerotrees of wavelet coefficients</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2825. 752–763. 15 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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