Stephen Kuhn
Impact in
- Geophysics top 10%
- Geological and Geochemical Analysis
- Geochemistry and Petrology top 10%
- Geochemistry and Elemental Analysis
Papers in
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- Geochemistry and Geologic Mapping 9
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- Distributed systems and fault tolerance 5
- Distributed and Parallel Computing Systems 4
- Co-authors
- Matthew J. Cracknell (9 shared papers)Anya M. Reading (6 shared papers)Peter McGoldrick (3 shared papers)Ross R. Large (2 shared papers)N Fox (3 shared papers)В. В. Масленников (1 shared paper)Daniel D. Gregory (1 shared paper)Timothy W. Lyons (1 shared paper)
- Journals
- Geophysics (3 papers)Robotics and Autonomous Systems (1 paper)Science Robotics (1 paper)Icarus (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Stephen Kuhn
26 papers receiving 435 citations
Peers
Comparison fields: 5 of 66
- Geophysics 143
- Geochemistry and Petrology 53
- Artificial Intelligence 269
- Media Technology 44
- Environmental Engineering 50
Countries citing papers authored by Stephen Kuhn
This map shows the geographic impact of Stephen Kuhn'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 Stephen Kuhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Kuhn more than expected).
Fields of papers citing papers by Stephen Kuhn
This network shows the impact of papers produced by Stephen Kuhn. 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 Stephen Kuhn. The network helps show where Stephen Kuhn may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Kuhn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2018 | 80 | |
| 3 | 2023 | 60 | |
| 4 | 2019 | 33 | |
| 5 | 2014 | 25 | |
| 6 | 2020 | 18 | |
| 7 | 2018 | 12 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 3 | |
| 17 | 2011 | 3 | |
| 18 | MAHLI After Dark: Nighttime Mars Hand Lens Imager Observations Under LED Illumination | 2014 | 2 |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Stephen Kuhn
Stephen Kuhn is a scholar working on Artificial Intelligence, Computer Networks and Communications, Astronomy and Astrophysics, Information Systems and Geophysics, having authored 28 papers that have together received 447 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (9 papers), Planetary Science and Exploration (7 papers), Astro and Planetary Science (5 papers), Distributed systems and fault tolerance (5 papers), Space Exploration and Technology (4 papers), Distributed and Parallel Computing Systems (4 papers), Geophysical and Geoelectrical Methods (3 papers) and Mineral Processing and Grinding (3 papers). The work is most often cited by research in Geophysics (143 citations), Geochemistry and Petrology (53 citations), Artificial Intelligence (269 citations), Media Technology (44 citations) and Environmental Engineering (50 citations). Stephen Kuhn has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Matthew J. Cracknell, Anya M. Reading, Peter McGoldrick, Ross R. Large, N Fox, В. В. Масленников, Daniel D. Gregory, Timothy W. Lyons, Jeffrey A. Steadman and Michael J. Baker. Their work appears in journals such as Geophysics, Robotics and Autonomous Systems, Science Robotics, Icarus and Software Practice and Experience.
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.