Thomas H. Kerr
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- James R. ClarkClaire E. WiddicombeElaine S. FilemanNicolas PugeaultN.A. CarlsonYaakov OshmanM SrinathG. Semouchkin
- Topics
- Target Tracking and Data Fusion in Sensor Networks (27 papers)Fault Detection and Control Systems (21 papers)Control Systems and Identification (8 papers)
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyArtificial Intelligence
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Thomas H. Kerr
38 papers receiving 394 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 358
- Control and Systems Engineering 344
- Aerospace Engineering 174
- Computer Networks and Communications 118
- Statistics, Probability and Uncertainty 102
Countries citing papers authored by Thomas H. Kerr
This map shows the geographic impact of Thomas H. Kerr'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 Thomas H. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas H. Kerr more than expected).
Fields of papers citing papers by Thomas H. Kerr
This network shows the impact of papers produced by Thomas H. Kerr. 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 Thomas H. Kerr. The network helps show where Thomas H. Kerr may publish in the future.
Co-authorship network of co-authors of Thomas H. Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas H. Kerr. A scholar is included among the top collaborators of Thomas H. Kerr 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 Thomas H. Kerr. Thomas H. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | Drawbacks of Residual-Based Event Detectors like GLR or IMM Filters in Practical Situations | 2 |
| 5 | 9 | |
| 6 | Comparison of Batch and Kalman Filtering for Radar Tracking | 1 |
| 7 | Sensor Scheduling in Kalman Filters: Evaluating Procedure for Varying Submarine Navaids | 0 |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | Use of GPS/INS in the Design of Airborne Multisensor Data Collection Missions (for Tuning NN-based ATR algorithms) | 9 |
| 12 | 41 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 39 | |
| 19 | 18 | |
| 20 | 1 |
About Thomas H. Kerr
Thomas H. Kerr is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Artificial Intelligence, having authored 47 papers that have together received 585 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (27 papers), Fault Detection and Control Systems (21 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Control and Systems Engineering (344 citations), Statistics, Probability and Uncertainty (102 citations) and Artificial Intelligence (358 citations). Thomas H. Kerr has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James R. Clark, Claire E. Widdicombe, Elaine S. Fileman, Nicolas Pugeault, N.A. Carlson, Yaakov Oshman, M Srinath, G. Semouchkin, Amanda Baker and Elena Semouchkina. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Access.
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.