Robert Fitch
Impact in
- Condensed Matter Physics top 1%
- GaN-based semiconductor devices and materials
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- Ga2O3 and related materials
Papers in
-
- GaN-based semiconductor devices and materials 52
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- Robotic Path Planning Algorithms 44
- Co-authors
- Antonio CrespoGregg H. JessenKelson D. ChabakAndrew J. GreenSalah SukkariehKevin LeedyJ. GillespieGraeme Best
- Journals
- Applied Physics Letters (14 papers)IEEE Electron Device Letters (13 papers)Solid-State Electronics (8 papers)Autonomous Robots (5 papers)The International Journal of Robotics Research (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Robert Fitch
189 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Condensed Matter Physics 1.5k
- Electronic, Optical and Magnetic Materials 2.0k
- Materials Chemistry 1.9k
- Renewable Energy, Sustainability and the Environment 653
- Computer Vision and Pattern Recognition 705
Countries citing papers authored by Robert Fitch
This map shows the geographic impact of Robert Fitch'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 Robert Fitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Fitch more than expected).
Fields of papers citing papers by Robert Fitch
This network shows the impact of papers produced by Robert Fitch. 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 Robert Fitch. The network helps show where Robert Fitch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Fitch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2019 | 23 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 25 | |
| 13 | Non-parametric consistency test for multiple-sensing-modality data fusion | 2015 | 2 |
| 14 | 2015 | 46 | |
| 15 | Detection of alligator weed using an unmanned aerial vehicle | 2014 | 4 |
| 16 | 2014 | 9 | |
| 17 | A research-driven approach to undergraduate robotics education | 2010 | 2 |
| 18 | 1993 | 4 | |
| 19 | DEVELOPMENT AND EVALUATION OF A BREADBOARD VIDEO IMAGING SYSTEM FOR WIDE AREA VEHICLE DETECTION | 1989 | 5 |
| 20 | 1981 | 92 |
About Robert Fitch
Robert Fitch is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Aerospace Engineering and Energy Engineering and Power Technology, having authored 201 papers that have together received 4.9k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (52 papers), Robotic Path Planning Algorithms (44 papers), Ga2O3 and related materials (32 papers), Semiconductor materials and devices (28 papers), Robotics and Sensor-Based Localization (28 papers), Modular Robots and Swarm Intelligence (26 papers), Radio Frequency Integrated Circuit Design (22 papers) and Distributed Control Multi-Agent Systems (19 papers). The work is most often cited by research in Condensed Matter Physics (1.5k citations), Electronic, Optical and Magnetic Materials (2.0k citations), Materials Chemistry (1.9k citations), Renewable Energy, Sustainability and the Environment (653 citations) and Computer Vision and Pattern Recognition (705 citations). Robert Fitch has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Antonio Crespo, Gregg H. Jessen, Kelson D. Chabak, Andrew J. Green, Salah Sukkarieh, Kevin Leedy, J. Gillespie, Graeme Best, Neil Moser and Eric R. Heller. Their work appears in journals such as Applied Physics Letters, IEEE Electron Device Letters, Solid-State Electronics, Autonomous Robots and The International Journal of Robotics Research.
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.