Curtis Collins
Impact in
-
- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Dynamics and Control of Mechanical Systems
- Adaptive Control of Nonlinear Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Robotic Mechanisms and Dynamics 8
- Robot Manipulation and Learning 6
-
- Planetary Science and Exploration 8
- Astro and Planetary Science 6
- Co-authors
- Lianfang TianPaul BackesR. LindemannJulie TownsendJ. Michael McCarthyJeffrey BiesiadeckiHai‐Jun SuMatthew L. Robinson
- Journals
- Mechatronics (3 papers)Robotica (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Mechanism and Machine Theory (1 paper)IEEE Aerospace and Electronic Systems Magazine (1 paper)
- Partner nations
- United States
In The Last Decade
Curtis Collins
23 papers receiving 468 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 303
- Computer Vision and Pattern Recognition 129
- Industrial and Manufacturing Engineering 34
- Aerospace Engineering 84
- Astronomy and Astrophysics 53
Countries citing papers authored by Curtis Collins
This map shows the geographic impact of Curtis Collins'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 Curtis Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Collins more than expected).
Fields of papers citing papers by Curtis Collins
This network shows the impact of papers produced by Curtis Collins. 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 Curtis Collins. The network helps show where Curtis Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Curtis Collins, 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 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2014 | 2 | |
| 5 | 2013 | 8 | |
| 6 | 2011 | 12 | |
| 7 | 2010 | 27 | |
| 8 | 2009 | 1 | |
| 9 | 2009 | 4 | |
| 10 | 2008 | 11 | |
| 11 | 2007 | 9 | |
| 12 | 2007 | 2 | |
| 13 | 2005 | 87 | |
| 14 | 2005 | 16 | |
| 15 | 2003 | 56 | |
| 16 | 2003 | 134 | |
| 17 | 2003 | 39 | |
| 18 | 2002 | 16 | |
| 19 | 2002 | 2 | |
| 20 | 2002 | 18 |
About Curtis Collins
Curtis Collins is a scholar working on Control and Systems Engineering, Astronomy and Astrophysics, Aerospace Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 25 papers that have together received 490 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (8 papers), Planetary Science and Exploration (8 papers), Robotic Path Planning Algorithms (7 papers), Astro and Planetary Science (6 papers), Robot Manipulation and Learning (6 papers), Space Exploration and Technology (4 papers), Space Satellite Systems and Control (4 papers) and Robotic Locomotion and Control (4 papers). The work is most often cited by research in Control and Systems Engineering (303 citations), Computer Vision and Pattern Recognition (129 citations), Industrial and Manufacturing Engineering (34 citations), Aerospace Engineering (84 citations) and Astronomy and Astrophysics (53 citations). Curtis Collins has collaborated with scholars based in United States. Frequent co-authors include Lianfang Tian, Paul Backes, R. Lindemann, Julie Townsend, J. Michael McCarthy, Jeffrey Biesiadecki, Hai‐Jun Su, Matthew L. Robinson, Michael Broxton and Patrick Mihelich. Their work appears in journals such as Mechatronics, Robotica, Journal of Intelligent & Robotic Systems, Mechanism and Machine Theory and IEEE Aerospace and Electronic Systems Magazine.
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.