Bryan S. Morse

2.9k citations
61 papers · 1.9k · h-index 21

Impact in

Papers in

    • Advanced Vision and Imaging 17
    • Medical Image Segmentation Techniques 13
    • Image and Object Detection Techniques 9
    • Robotic Path Planning Algorithms 8
    • Advanced Image and Video Retrieval Techniques 8
    • Image Enhancement Techniques 7
    • Robotics and Sensor-Based Localization 16

Bryan S. Morse

59 papers receiving 1.8k citations

Peers

Bryan S. Morse
Comparison fields: 5 of 104
  • Computer Graphics and Computer-Aided Design 246
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 175
  • Aerospace Engineering 407
  • Computational Mechanics 326
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Citations per field
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Citations per year

Countries citing papers authored by Bryan S. Morse

Since Specialization
Citations

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

Fields of papers citing papers by Bryan S. Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan S. Morse. 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 Bryan S. Morse. The network helps show where Bryan S. Morse may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan S. Morse, 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 Bryan S. Morse Line = papers co-authored together Bryan S. Morse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007288
2 2002209
3 2010123
4 2005106
5 1996105
6 1998102
7 200995
8 200571
9 199458
10 200253
11 199452
12 200951
13 199446
14 201045
15 201137
16 200933
17 201031
18 199827
19 199627
20
Computation of object cores from grey-level images
199625

About Bryan S. Morse

Bryan S. Morse is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computational Mechanics and Media Technology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (16 papers), Computer Graphics and Visualization Techniques (14 papers), Medical Image Segmentation Techniques (13 papers), Image and Object Detection Techniques (9 papers), Robotic Path Planning Algorithms (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Enhancement Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (246 citations), Computer Vision and Pattern Recognition (1.3k citations), Media Technology (175 citations), Aerospace Engineering (407 citations) and Computational Mechanics (326 citations). Bryan S. Morse has collaborated with scholars based in United States. Frequent co-authors include Stephen M. Pizer, Michael A. Goodrich, Brian Price, Scott Cohen, Daniel Fritsch, Kalpathi Subramanian, David H. Eberly, Joseph L. Cooper, Julie A. Adams and Penny Rheingans. Their work appears in journals such as ACM Transactions on Graphics, Computer Vision and Image Understanding, Pattern Recognition Letters, Unmanned Systems and Vision Research.

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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