Kyle Kauffman
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Dmitriy GarmatyukJonathan SchuergerJohn RaquetY. Jade MortonRobert C. LeishmanKeith B. FrikkenRobert L. EwingAaron Canciani
- Topics
- Indoor and Outdoor Localization Technologies (9 papers)Target Tracking and Data Fusion in Sensor Networks (7 papers)Inertial Sensor and Navigation (6 papers)
- Partner nations
- United StatesPoland
In The Last Decade
Kyle Kauffman
20 papers receiving 312 citations
Peers
Comparison fields: 5 of 27
- Aerospace Engineering 277
- Electrical and Electronic Engineering 172
- Artificial Intelligence 64
- Biomedical Engineering 61
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Kyle Kauffman
This map shows the geographic impact of Kyle Kauffman'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 Kyle Kauffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Kauffman more than expected).
Fields of papers citing papers by Kyle Kauffman
This network shows the impact of papers produced by Kyle Kauffman. 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 Kyle Kauffman. The network helps show where Kyle Kauffman may publish in the future.
Co-authorship network of co-authors of Kyle Kauffman
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Kauffman. A scholar is included among the top collaborators of Kyle Kauffman 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 Kyle Kauffman. Kyle Kauffman 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 | 6 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Experimental Study of Two-channel UWB-OFDM Radar for Indoor Navigation with INS Integration | 1 |
| 10 | 4 | |
| 11 | Radar Based Navigation in Unknown Terrain | 3 |
| 12 | 2 | |
| 13 | 11 | |
| 14 | Simulation Study of UWB-OFDM SAR for Navigation Using an Extended Kalman Filter | 6 |
| 15 | Simulation Study of UWB-OFDM SAR for Dead-Reckoning Navigation | 6 |
| 16 | 118 | |
| 17 | Fast Target Tracking Technique for Synthetic Aperture Radars | 5 |
| 18 | 80 | |
| 19 | 5 | |
| 20 | 29 |
About Kyle Kauffman
Kyle Kauffman is a scholar working on Aerospace Engineering, Ocean Engineering and Artificial Intelligence, having authored 21 papers that have together received 326 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Inertial Sensor and Navigation (6 papers). The work is most often cited by research in Aerospace Engineering (277 citations), Electrical and Electronic Engineering (172 citations) and Artificial Intelligence (64 citations). Kyle Kauffman has collaborated with scholars based in United States and Poland. Frequent co-authors include Dmitriy Garmatyuk, Jonathan Schuerger, John Raquet, Y. Jade Morton, Robert C. Leishman, Keith B. Frikken, Robert L. Ewing, Aaron Canciani, Aaron Steele and Gary B. Lamont. Their work appears in journals such as Sensors, IEEE Transactions on Aerospace and Electronic Systems and IEEE Sensors Journal.
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.