Peter G. Cable

18 papers receiving 2.3k citations

Peter G. Cable's Hit Papers

Tracking and Data Association 1990 · 2.3k citations
2.3k0+12+24Years since publication50010001.5k2.0k

Peers

Peter G. Cable
Comparison fields: 5 of 90
  • Artificial Intelligence 1.5k
  • Aerospace Engineering 941
  • Computer Vision and Pattern Recognition 741
  • Signal Processing 330
  • Oceanography 241
Replace Thomas Fortmann with:
Thomas Fortmann United States
Mark R. Morelande Australia
Umut Orguner Sweden
Karl Granström Sweden
Darko Mušicki Australia
Daniel E. Clark United Kingdom
Sanjeev Arulampalam Australia
Niclas Bergman Sweden
Samuel S. Blackman United States
P.-J. Nordlund Sweden
Peter G. Cable relative to Thomas Fortmann United States Thomas Fortmann's profile →
Citations per field
00.5×1.5×
Thomas Fortmann · 1×
Citations per year

Countries citing papers authored by Peter G. Cable

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Cable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Cable. 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 Peter G. Cable. The network helps show where Peter G. Cable may publish in the future.

Co-authors

The 19 scholars most cited alongside Peter G. Cable, 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 Peter G. Cable Line = papers co-authored together Peter G. Cable links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tracking and Data Association
Hit paper breakdown →
19902345
2 1973144
3 200118
4 199715
5 200611
6 19827
7 20027
8 19933
9 20063
10
Report on the 1999 ONR Shallow-Water Reverberation Focus Workshop
19993
11 20023
12 19992
13 19822
14 19872
15 19961
16 19951
17 20061
18 19741
19 19951
20 19991

About Peter G. Cable

Peter G. Cable is a scholar working on Oceanography, Ocean Engineering, Ecology, Signal Processing and Electrical and Electronic Engineering, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Underwater Acoustics Research (15 papers), Underwater Vehicles and Communication Systems (12 papers), Marine animal studies overview (5 papers), Advanced Fiber Optic Sensors (3 papers), Speech and Audio Processing (3 papers), Photonic and Optical Devices (2 papers), Semiconductor Lasers and Optical Devices (2 papers) and Geophysical Methods and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Aerospace Engineering (941 citations), Computer Vision and Pattern Recognition (741 citations), Signal Processing (330 citations) and Oceanography (241 citations). Peter G. Cable has collaborated with scholars based in United States and China. Frequent co-authors include Thomas Fortmann, Yaakov Bar‐Shalom, Albert H. Nuttall, William M. Carey, William L. Siegmann, James H. Miller, Gopu R. Potty, David P. Knobles, Robert Koch and Henry Cox. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Journal of Oceanic Engineering, Proceedings of the IEEE, IEEE Journal of Quantum Electronics and IEEE Transactions on Microwave Theory and Techniques.

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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