John Leichty
Impact in
- Astronomy and Astrophysics top 10%
- Planetary Science and Exploration
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
-
- Space Exploration and Technology 2
- Robotics and Sensor-Based Localization 2
-
- Robotic Path Planning Algorithms 2
- Co-authors
- Mark Maimone (1 shared paper)Jaret Matthews (2 shared papers)Justin Lin (1 shared paper)M. Heverly (1 shared paper)Dan A. Fuller (1 shared paper)Jeffrey Biesiadecki (1 shared paper)James Borders (3 shared papers)Max Bajracharya (2 shared papers)
- Journals
- Journal of Field Robotics (2 papers)NASA Technical Reports Server (NASA) (1 paper)LPICo (1 paper)
- Partner nations
- United States
In The Last Decade
John Leichty
7 papers receiving 211 citations
Peers
Comparison fields: 5 of 38
- Astronomy and Astrophysics 73
- Control and Systems Engineering 72
- Aerospace Engineering 70
- Biomedical Engineering 100
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by John Leichty
This map shows the geographic impact of John Leichty'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 John Leichty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Leichty more than expected).
Fields of papers citing papers by John Leichty
This network shows the impact of papers produced by John Leichty. 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 John Leichty. The network helps show where John Leichty may publish in the future.
Co-authors
The 25 scholars most cited alongside John Leichty, 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 | 2015 | 87 | |
| 2 | 2013 | 78 | |
| 3 | 2013 | 33 | |
| 4 | 2020 | 14 | |
| 5 | Development of a New Class of Autonomous Underwater Vehicle (AUV), Orpheus, for the Exploration of Ocean World Analogues | 2019 | 3 |
| 6 | 2019 | 2 | |
| 7 | 2023 | 1 | |
| 8 | Positive-Buoyancy Rover for Under Ice Mobility | 2013 | 0 |
About John Leichty
John Leichty is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Astronomy and Astrophysics and Control and Systems Engineering, having authored 8 papers that have together received 218 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (3 papers), Space Exploration and Technology (2 papers), Robotics and Sensor-Based Localization (2 papers), Robot Manipulation and Learning (2 papers), Robotic Path Planning Algorithms (2 papers), Planetary Science and Exploration (2 papers), Architecture and Computational Design (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Astronomy and Astrophysics (73 citations), Control and Systems Engineering (72 citations), Aerospace Engineering (70 citations), Biomedical Engineering (100 citations) and Computer Vision and Pattern Recognition (46 citations). John Leichty has collaborated with scholars based in United States. Frequent co-authors include Mark Maimone, Jaret Matthews, Justin Lin, M. Heverly, Dan A. Fuller, Jeffrey Biesiadecki, James Borders, Max Bajracharya, Jeremy Ma and Matthew Frost. Their work appears in journals such as Journal of Field Robotics, NASA Technical Reports Server (NASA) and LPICo.
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.