Max Mintz

29 papers receiving 481 citations

Peers

Max Mintz
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 151
  • Human-Computer Interaction 32
  • Statistics and Probability 40
  • Control and Systems Engineering 93
  • Statistics, Probability and Uncertainty 27
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J.H. Kim South Korea
Greg Aloupis Belgium
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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 25 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 200468
3 201251
4 199149
5 198428
6
Active reduction of uncertainty in multisensor systems
198825
7 199621
8 197218
9 197314
10 198813
11 197810
12 20049
13 19759
14
Adaptive Image Segmentation
19889
15 19718
16 19728
17
A Stereo Confidence Metric Using Single View Imagery
20025
18
Sensor modeling and robust sensor data fusion
19914
19 19724
20
Control of visually guided behaviors
19953

About Max Mintz

Max Mintz is a scholar working on Aerospace Engineering, Statistics and Probability, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Guidance and Control Systems (5 papers), Advanced Statistical Process Monitoring (5 papers), Military Defense Systems Analysis (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Modular Robots and Swarm Intelligence (3 papers), Advanced Vision and Imaging (3 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Human-Computer Interaction (32 citations), Statistics and Probability (40 citations), Control and Systems Engineering (93 citations) and Statistics, Probability and Uncertainty (27 citations). Max Mintz has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Greg Hager, Geoffrey Egnal, Richard P. Wildes, Vijay Kumar, Tamer Başar, Jonathan Schug, Harvey Rubin, George J. Pappas, Călin Belta and Franjo Ivančić. Their work appears in journals such as The Annals of Statistics, Expert Systems with Applications, The International Journal of Robotics Research, Image and Vision Computing and Frontiers in Immunology.

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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