Peter G. Cable
- Artificial Intelligence top 0.5%
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Co-authors
- Thomas FortmannYaakov Bar‐ShalomAlbert H. NuttallWilliam M. CareyWilliam L. SiegmannGopu R. PottyDavid P. KnoblesRobert Koch
- Topics
- Underwater Acoustics Research (15 papers)Underwater Vehicles and Communication Systems (12 papers)Marine animal studies overview (5 papers)
- Journals
- Proceedings of the IEEEThe Journal of the Acoustical Society of AmericaIEEE Transactions on Microwave Theory and Techniques
- Partner nations
- United StatesChina
In The Last Decade
Peter G. Cable
17 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 1.5k
- Aerospace Engineering 939
- Computer Vision and Pattern Recognition 742
- Electrical and Electronic Engineering 416
- Computer Networks and Communications 408
Countries citing papers authored by Peter G. Cable
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
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-authorship network of co-authors of Peter G. Cable
This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Cable. A scholar is included among the top collaborators of Peter G. Cable based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter G. Cable. Peter G. Cable is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | Report on the 1999 ONR Shallow-Water Reverberation Focus Workshop | 3 |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Tracking and Data Associationbreakdown → | 2340 |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 143 |
About Peter G. Cable
Peter G. Cable is a scholar working on Oceanography, Ocean Engineering and Signal Processing, 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) and Marine animal studies overview (5 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Aerospace Engineering (939 citations) and Computer Vision and Pattern Recognition (742 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, Gopu R. Potty, David P. Knobles, Robert Koch, James H. Miller and William Marshall. Their work appears in journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America 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.