Nicholas Cheney
Impact in
Papers in
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- Tendon Structure and Treatment 5
- Foot and Ankle Surgery 3
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- Reinforcement Learning in Robotics 4
- Evolutionary Algorithms and Applications 2
- Co-authors
- Hod Lipson (5 shared papers)Jeff Clune (2 shared papers)Josh Bongard (2 shared papers)Vytas SunSpiral (2 shared papers)Reed D. Gurchiek (1 shared paper)Ryan S. McGinnis (1 shared paper)Trisha Shrum (4 shared papers)Scott C. Merrill (4 shared papers)
- Journals
- Frontiers in Veterinary Science (2 papers)Patient Education and Counseling (2 papers)The Lancet Planetary Health (1 paper)Histochemistry and Cell Biology (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- United StatesCanadaSierra Leone
In The Last Decade
Nicholas Cheney
21 papers receiving 208 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 9
- Modeling and Simulation 12
- Artificial Intelligence 65
- Agronomy and Crop Science 18
- Mechanical Engineering 57
Countries citing papers authored by Nicholas Cheney
This map shows the geographic impact of Nicholas Cheney'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 Nicholas Cheney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Cheney more than expected).
Fields of papers citing papers by Nicholas Cheney
This network shows the impact of papers produced by Nicholas Cheney. 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 Nicholas Cheney. The network helps show where Nicholas Cheney may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Cheney, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 27 | |
| 2 | 2016 | 25 | |
| 3 | 2016 | 23 | |
| 4 | 2014 | 22 | |
| 5 | 2020 | 18 | |
| 6 | 2019 | 17 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2018 | 1 |
About Nicholas Cheney
Nicholas Cheney is a scholar working on Orthopedics and Sports Medicine, Artificial Intelligence, Agronomy and Crop Science, Mechanical Engineering and Infectious Diseases, having authored 22 papers that have together received 210 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (5 papers), Reinforcement Learning in Robotics (4 papers), Animal Disease Management and Epidemiology (4 papers), Foot and Ankle Surgery (3 papers), Modular Robots and Swarm Intelligence (3 papers), Patient-Provider Communication in Healthcare (2 papers), Evolutionary Algorithms and Applications (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Health Informatics (9 citations), Modeling and Simulation (12 citations), Artificial Intelligence (65 citations), Agronomy and Crop Science (18 citations) and Mechanical Engineering (57 citations). Nicholas Cheney has collaborated with scholars based in United States, Canada and Sierra Leone. Frequent co-authors include Hod Lipson, Jeff Clune, Josh Bongard, Vytas SunSpiral, Reed D. Gurchiek, Ryan S. McGinnis, Trisha Shrum, Scott C. Merrill, Asim Zia and Julia M. Smith. Their work appears in journals such as Frontiers in Veterinary Science, Patient Education and Counseling, The Lancet Planetary Health, Histochemistry and Cell Biology and Journal of Animal Science.
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.