Max Mintz

662 citations
28 papers · 323 · h-index 10

Impact in

Papers in

Max Mintz

25 papers receiving 300 citations

Peers

Max Mintz
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 126
  • Human-Computer Interaction 30
  • Statistics and Probability 39
  • Statistics, Probability and Uncertainty 24
  • Control and Systems Engineering 68
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Eric Brochu Canada
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Citations per field
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Citations per year

Countries citing papers authored by Max Mintz

Since Specialization
Citations

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

Fields of papers citing papers by Max Mintz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Mintz. 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 Max Mintz. The network helps show where Max Mintz may publish in the future.

Co-authors

The 22 scholars most cited alongside Max Mintz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Max Mintz Line = papers co-authored together Max Mintz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200462
2 201245
3 199140
4 198426
5
Active reduction of uncertainty in multisensor systems
198822
6 199617
7 197216
8 197314
9 198812
10 197810
11 19758
12 19718
13 19727
14
Adaptive Image Segmentation
19886
15
A Stereo Confidence Metric Using Single View Imagery
20025
16
Sensor modeling and robust sensor data fusion
19914
17 19724
18
Control of visually guided behaviors
19953
19 19933
20
Sensor-Fusion With Statistical Decision Theory: A Prospectus of Research in the GRASP Lab
19903

About Max Mintz

Max Mintz is a scholar working on Aerospace Engineering, Statistics and Probability, Statistics, Probability and Uncertainty, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 28 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Advanced Statistical Process Monitoring (5 papers), Guidance and Control Systems (5 papers), Military Defense Systems Analysis (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Radar Systems and Signal Processing (2 papers) and Teleoperation and Haptic Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Human-Computer Interaction (30 citations), Statistics and Probability (39 citations), Statistics, Probability and Uncertainty (24 citations) and Control and Systems Engineering (68 citations). Max Mintz has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Greg Hager, Richard P. Wildes, Geoffrey Egnal, Tamer Başar, Gregory D. Hager, Pablo Castillo, Katherine J. Kuchenbecker, Joseph M. Romano, Heather Culbertson and Robert Mandelbaum. Their work appears in journals such as The Annals of Statistics, International Journal of Control, Image and Vision Computing, Frontiers in Immunology and Expert Systems with Applications.

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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