Keith Gremban

739 citations
13 papers · 438 · h-index 7

Impact in

    • Robotic Path Planning Algorithms
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image and Object Detection Techniques
    • Video Surveillance and Tracking Methods
    • Optical measurement and interference techniques
    • Autonomous Vehicle Technology and Safety

Papers in

Keith Gremban

11 papers receiving 397 citations

Peers

Keith Gremban
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 337
  • Automotive Engineering 123
  • Aerospace Engineering 196
  • Computer Graphics and Computer-Aided Design 17
  • Media Technology 19
Replace Lei Tai with:
Lei Tai Hong Kong
Min-Chul Lee South Korea
Boyoon Jung United States
Yasmina Bestaoui France
Jason Derenick United States
Q.-T. Luong United States
Marco Frego Italy
Norman C. Griswold United States
Javier V. Gómez Spain
Tianbo Liu Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Keith Gremban

Since Specialization
Citations

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

Fields of papers citing papers by Keith Gremban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Keith Gremban, 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 Keith Gremban Line = papers co-authored together Keith Gremban links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1988277
2 200354
3 199434
4 198526
5 200217
6
Appearance-Based Vision and the Automatic Generation of Object Recognition Programs
199211
7 20056
8 19944
9 20024
10 20023
11 19972
12
Evaluation of automated decisionmaking methodologies and development of an integrated robotic system simulation, appendix B
19840
13 20230

About Keith Gremban

Keith Gremban is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Theory and Mathematics, Automotive Engineering and Control and Systems Engineering, having authored 13 papers that have together received 438 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Graph Theory and Algorithms (2 papers), Complexity and Algorithms in Graphs (2 papers), Computational Geometry and Mesh Generation (2 papers), Military Defense Systems Analysis (1 paper) and Color Science and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (337 citations), Automotive Engineering (123 citations), Aerospace Engineering (196 citations), Computer Graphics and Computer-Aided Design (17 citations) and Media Technology (19 citations). Keith Gremban has collaborated with scholars based in United States and France. Frequent co-authors include M. Marra, David G. Morgenthaler, Matthew A. Turk, Katsushi Ikeuchi, Takeo Kanade, C. Thorpe, Matthew Turk, Gary L. Miller, Marco Zagha and Shang‐Hua Teng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Journal of Combinatorial Optimization, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and Defense Technical Information Center (DTIC).

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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