Mark Keck

509 citations
11 papers · 411 · h-index 7

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Image Enhancement Techniques
    • Human Pose and Action Recognition
    • Infrared Target Detection Methodologies
    • Robotics and Sensor-Based Localization

Papers in

Mark Keck

10 papers receiving 401 citations

Peers

Mark Keck
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 348
  • Aerospace Engineering 178
  • Media Technology 60
  • Safety, Risk, Reliability and Quality 35
  • Automotive Engineering 16
Replace Sungil Kang with:
Sungil Kang South Korea
Xiao Bian China
Yuyao Huang China
Yangliu Kuai China
Furui Bai China
J. Black United Kingdom
Dennis Mitzel Germany
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Mark Keck relative to Sungil Kang South Korea Sungil Kang's profile →
Citations per field
00.5×5×10×14.5×
Sungil Kang · 1×
Citations per year

Countries citing papers authored by Mark Keck

Since Specialization
Citations

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

Fields of papers citing papers by Mark Keck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mark Keck, 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 Mark Keck Line = papers co-authored together Mark Keck links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005276
2 201347
3 201634
4 200721
5 20067
6 20087
7 20117
8 20066
9 19933
10 20053
11
Modeling Behavior Trends and Detecting Abnormal Events using Seasonal Kalman Filters
20050

About Mark Keck

Mark Keck is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Artificial Intelligence and Signal Processing, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Infrared Target Detection Methodologies (2 papers), Remote Sensing and LiDAR Applications (2 papers), Robotics and Sensor-Based Localization (2 papers) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (348 citations), Aerospace Engineering (178 citations), Media Technology (60 citations), Safety, Risk, Reliability and Quality (35 citations) and Automotive Engineering (16 citations). Mark Keck has collaborated with scholars based in United States and Sweden. Frequent co-authors include James W. Davis, Chris Stauffer, Ambrish Tyagi, James W. Davis, James W. Davis, Clark N. Taylor, Yu Gu, Gerasimos Potamianos, Jason N. Gross and Jared Strader. Their work appears in journals such as International Journal of Computer Vision, Journal of the Illuminating Engineering Society and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

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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