David H. Marimont

14 papers receiving 1.8k citations

Hit Papers

Robust anisotropic diffusion198720262000201319981987250500750

Peers

David H. Marimont
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 1.6k
  • Media Technology 517
  • Atomic and Molecular Physics, and Optics 228
  • Computer Graphics and Computer-Aided Design 205
  • Computational Mechanics 186
Replace Y.Y. Zeevi with:
Y.Y. Zeevi Israel
Glenn Healey United States
Irwin Sobel United States
S.K. Nayar United States
Alain Horé Canada
Dmitry Ulyanov Russia
Doron Shaked United States
Davi Geiger United States
Stephen T. Barnard United States
Thomas O. Binford United States
David H. Marimont relative to Y.Y. Zeevi Israel Y.Y. Zeevi's profile →
Citations per field
00.5×1.5×1.9×
Y.Y. Zeevi · 1×
Citations per year

Countries citing papers authored by David H. Marimont

Since Specialization
Citations

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

Fields of papers citing papers by David H. Marimont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Marimont. 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 David H. Marimont. The network helps show where David H. Marimont may publish in the future.

Co-authorship network of co-authors of David H. Marimont

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 6
3 1
4
Robust anisotropic diffusionbreakdown →
909
5 17
6 1
7 28
8 8
9 99
10 200
11 1
12 2
13
Epipolar-plane image analysis: An approach to determining structure from motionbreakdown →
636
14
Inferring spatial structure from feature correspondences (machine, computer vision, robotics, mobile, artificial intelligence)
4
15
A representation for image curves
29

About David H. Marimont

David H. Marimont is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (5 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (205 citations) and Media Technology (517 citations). David H. Marimont has collaborated with scholars based in United States. Frequent co-authors include David J. Heeger, Guillermo Sapiro, Michael J. Black, Robert C. Bolles, H. Harlyn Baker, Brian A. Wandell, Leonidas Guibas, Yossi Rubner, Andrew Glassner and M.J. Black. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and International Journal of Computer Vision.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026