Ted J. Broida

1.1k citations
10 papers · 746 · h-index 7

Impact in

    • Advanced Vision and Imaging
    • Optical measurement and interference techniques
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Image Processing Techniques
    • Robotics and Sensor-Based Localization

Papers in

Ted J. Broida

9 papers receiving 686 citations

Peers

Ted J. Broida
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 601
  • Aerospace Engineering 403
  • Media Technology 91
  • Artificial Intelligence 136
  • Geology 19
Replace J.S. Beis with:
J.S. Beis Canada
José Gaspar Portugal
Donald B. Gennery United States
Weichao Qiu United States
Christopher Geyer United States
Pulak Purkait India
Tsai-Hong Hong United States
Alaa E. Abdel-Hakim Egypt
Les Kitchen Australia
Maojun Zhang China
Ted J. Broida relative to J.S. Beis Canada J.S. Beis's profile →
Citations per field
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J.S. Beis · 1×
Citations per year

Countries citing papers authored by Ted J. Broida

Since Specialization
Citations

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

Fields of papers citing papers by Ted J. Broida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted J. Broida. 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 Ted J. Broida. The network helps show where Ted J. Broida may publish in the future.

Co-authors

The 3 scholars most cited alongside Ted J. Broida, 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 Ted J. Broida Line = papers co-authored together Ted J. Broida links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1986300
2 1990224
3 1991128
4 198929
5 199329
6 199018
7 199013
8 19913
9 19921
10 20031

About Ted J. Broida

Ted J. Broida is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 10 papers that have together received 746 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Image and Object Detection Techniques (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Infrared Target Detection Methodologies (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Advanced Statistical Methods and Models (1 paper) and Advanced Measurement and Detection Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (601 citations), Aerospace Engineering (403 citations), Media Technology (91 citations), Artificial Intelligence (136 citations) and Geology (19 citations). Ted J. Broida has collaborated with scholars based in United States. Frequent co-authors include Rama Chellappa, S. Chandrashekhar and Samuel S. Blackman. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Optical Society of America A, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Journal of Robotic Systems.

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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