Michael J. Brooks

3.2k total citations · 1 hit paper
76 papers, 2.0k citations indexed

About

Michael J. Brooks is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Michael J. Brooks has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Michael J. Brooks's work include Advanced Vision and Imaging (35 papers), Optical measurement and interference techniques (18 papers) and Image and Object Detection Techniques (16 papers). Michael J. Brooks is often cited by papers focused on Advanced Vision and Imaging (35 papers), Optical measurement and interference techniques (18 papers) and Image and Object Detection Techniques (16 papers). Michael J. Brooks collaborates with scholars based in Australia, Spain and Poland. Michael J. Brooks's co-authors include Berthold K. P. Horn, Wojciech Chojnacki, Anton van den Hengel, D. Gawley, Anthony Dick, Chunhua Shen, Robert J. Willis, Luis Baumela, Ryszard Kozera and Garry N. Newsam and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Michael J. Brooks

73 papers receiving 1.8k citations

Hit Papers

Shape from shading 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Brooks Australia 23 1.5k 652 480 332 171 76 2.0k
Michael B. Oren United States 10 1.6k 1.1× 466 0.7× 325 0.7× 177 0.5× 163 1.0× 25 2.3k
Michel Gangnet France 11 2.6k 1.7× 824 1.3× 423 0.9× 233 0.7× 327 1.9× 18 3.1k
Kun Xu China 26 1.2k 0.8× 555 0.9× 361 0.8× 324 1.0× 122 0.7× 124 2.2k
Anselmo Lastra United States 28 1.4k 0.9× 1.2k 1.9× 611 1.3× 203 0.6× 130 0.8× 90 2.3k
Qunsheng Peng China 26 1.3k 0.9× 897 1.4× 753 1.6× 105 0.3× 251 1.5× 197 2.2k
Greg Humphreys United States 21 1.8k 1.2× 1.7k 2.6× 717 1.5× 96 0.3× 288 1.7× 37 3.2k
Michael Ashikhmin United States 19 2.0k 1.3× 1.0k 1.5× 494 1.0× 101 0.3× 333 1.9× 28 2.5k
Werner Purgathofer Austria 24 1.4k 0.9× 859 1.3× 398 0.8× 164 0.5× 100 0.6× 102 2.1k
Luiz Velho Brazil 27 1.3k 0.8× 1.3k 2.0× 1.2k 2.6× 131 0.4× 65 0.4× 190 2.7k
Jaakko Lehtinen Finland 28 2.2k 1.5× 1.3k 2.0× 608 1.3× 66 0.2× 193 1.1× 71 2.8k

Countries citing papers authored by Michael J. Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Brooks. A scholar is included among the top collaborators of Michael J. Brooks 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 J. Brooks. Michael J. Brooks 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.
Niu, Yan, Anthony Dick, & Michael J. Brooks. (2011). Locally Oriented Optical Flow Computation. IEEE Transactions on Image Processing. 21(4). 1573–1586. 4 indexed citations
2.
Shen, Chunhua, Michael J. Brooks, & Anton van den Hengel. (2007). Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking. IEEE Transactions on Image Processing. 16(5). 1457–1469. 60 indexed citations
3.
Brooks, Michael J.. (2007). Time enough for countin'. The New Scientist. 194(2604). 52–53. 1 indexed citations
4.
Niu, Yan, Anthony Dick, & Michael J. Brooks. (2007). Discontinuity-Preserving Optical Flow Computation by a Dynamic Overdetermined System. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 800. 352–359. 3 indexed citations
5.
Chojnacki, Wojciech, Michael J. Brooks, Anton van den Hengel, & D. Gawley. (2005). FNS, CFNS and HEIV: A Unifying Approach. Journal of Mathematical Imaging and Vision. 23(2). 175–183. 25 indexed citations
6.
Chojnacki, Wojciech, Michael J. Brooks, Anton van den Hengel, & D. Gawley. (2004). From fns to heiv: a link between two vision parameter estimation methods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(2). 264–268. 23 indexed citations
7.
Dick, Anthony & Michael J. Brooks. (2003). Issues in Automated Visual Surveillance. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 195–204. 57 indexed citations
8.
Brooks, Michael J., Wojciech Chojnacki, D. Gawley, & Anton van den Hengel. (2001). What value covariance information in estimating vision parameters. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1. 302–308. 33 indexed citations
9.
Chojnacki, Wojciech, Michael J. Brooks, Anton van den Hengel, & D. Gawley. (2000). Estimating Vision Parameters given Data with Covariances. 19.1–19.10. 1 indexed citations
10.
Chojnacki, Wojciech, Michael J. Brooks, & Anton van den Hengel. (1999). Fitting Surfaces to Data with Covariance Information: Fundamental Methods Applicable to Computer Vision. 5 indexed citations
11.
Dick, Anthony, et al.. (1999). Incorporating the Epipolar Constraint into a Multiresolution Algorithm for Stereo Image Matching.. Applied Informatics. 60(50). 600–603. 1 indexed citations
12.
Brooks, Michael J., Luis Baumela, & Wojciech Chojnacki. (1997). Egomotion from optical flow with an uncalibrated camera. 1 indexed citations
13.
Chojnacki, Wojciech, et al.. (1997). Can the Sun's Direction be Estimated from an Image Prior to the Computation of Object Shape?. Journal of Mathematical Imaging and Vision. 7(2). 139–147. 7 indexed citations
14.
Bouzerdoum, Abdesselam, et al.. (1995). Neural network region-based inexact relational medical image matching. 77–86. 1 indexed citations
15.
Brooks, Michael J., et al.. (1991). Light source direction from a single image: a performance analysis.. Australian Computer Journal. 23. 165–174. 5 indexed citations
16.
Horn, Berthold K. P. & Michael J. Brooks. (1989). Shape from shading. MIT Press eBooks. 434 indexed citations breakdown →
17.
Brooks, Michael J. & Berthold K. P. Horn. (1985). Shape and source from shading. DSpace@MIT (Massachusetts Institute of Technology). 53–68. 153 indexed citations
18.
Brooks, Michael J.. (1983). Two results concerning ambiguity in shape from shading. National Conference on Artificial Intelligence. 36–39. 16 indexed citations
19.
Brooks, Michael J.. (1979). Surface-normals from closed paths. International Joint Conference on Artificial Intelligence. 43(6). 98–101. 13 indexed citations
20.
Brooks, Michael J.. (1978). Rationalizing edge detectors. Computer Graphics and Image Processing. 8(2). 277–285. 26 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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