Christopher E. Denniston
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
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- Robotic Path Planning Algorithms
Papers in ⓘ
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- Robotic Path Planning Algorithms 5
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Benjamin Morrell (2 shared papers)Luca Carlone (2 shared papers)Kamak Ebadi (2 shared papers)Gaurav S. Sukhatme (7 shared papers)Ali‐akbar Agha‐mohammadi (3 shared papers)Andrzej Reinke (2 shared papers)Yun Chang (2 shared papers)Matteo Palieri (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Christopher E. Denniston
8 papers receiving 149 citations
Peers
Comparison fields: 5 of 36
- Aerospace Engineering 114
- Computer Vision and Pattern Recognition 91
- Geology 20
- Ocean Engineering 17
- Computer Networks and Communications 23
Countries citing papers authored by Christopher E. Denniston
This map shows the geographic impact of Christopher E. Denniston'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 Christopher E. Denniston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher E. Denniston more than expected).
Fields of papers citing papers by Christopher E. Denniston
This network shows the impact of papers produced by Christopher E. Denniston. 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 Christopher E. Denniston. The network helps show where Christopher E. Denniston may publish in the future.
Co-authors
The 23 scholars most cited alongside Christopher E. Denniston, 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 | 2022 | 99 | |
| 2 | 2022 | 23 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 12 | |
| 5 | 2018 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 |
About Christopher E. Denniston
Christopher E. Denniston is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Insect Science, having authored 8 papers that have together received 159 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers), Gaussian Processes and Bayesian Inference (2 papers), Indoor and Outdoor Localization Technologies (1 paper), Advanced Bandit Algorithms Research (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), Extremum Seeking Control Systems (1 paper) and Maritime Navigation and Safety (1 paper). The work is most often cited by research in Aerospace Engineering (114 citations), Computer Vision and Pattern Recognition (91 citations), Geology (20 citations), Ocean Engineering (17 citations) and Computer Networks and Communications (23 citations). Christopher E. Denniston has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Benjamin Morrell, Luca Carlone, Kamak Ebadi, Gaurav S. Sukhatme, Ali‐akbar Agha‐mohammadi, Andrzej Reinke, Yun Chang, Matteo Palieri, Jingnan Shi and A. Chatterjee. Their work appears in journals such as IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).
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.