Ian Abraham
Impact in
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- Adaptive Control of Nonlinear Systems
Papers in
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- Robotic Path Planning Algorithms 7
- Medical Image Segmentation Techniques 2
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- Reinforcement Learning in Robotics 3
- Co-authors
- Todd D. Murphey (11 shared papers)Christopher B. Jones (1 shared paper)Jingang Yi (1 shared paper)Mitra J. Z. Hartmann (2 shared papers)H. Berger (2 shared papers)Justin Seipel (1 shared paper)Howie Choset (7 shared papers)Brenna Argall (1 shared paper)
- Journals
- IEEE Transactions on Robotics (3 papers)IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (2 papers)Journal of Computational and Nonlinear Dynamics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Ian Abraham
26 papers receiving 213 citations
Peers
Comparison fields: 5 of 54
- Geography, Planning and Development 18
- Control and Systems Engineering 56
- Computer Vision and Pattern Recognition 48
- Signal Processing 25
- Computer Networks and Communications 47
Countries citing papers authored by Ian Abraham
This map shows the geographic impact of Ian Abraham'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 Ian Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Abraham more than expected).
Fields of papers citing papers by Ian Abraham
This network shows the impact of papers produced by Ian Abraham. 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 Ian Abraham. The network helps show where Ian Abraham may publish in the future.
Co-authors
The 18 scholars most cited alongside Ian Abraham, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 26 | |
| 2 | 2017 | 24 | |
| 3 | 1987 | 22 | |
| 4 | 2022 | 20 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 16 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 1997 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2026 | 1 |
About Ian Abraham
Ian Abraham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 30 papers that have together received 221 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (5 papers), Optimization and Search Problems (3 papers), Modular Robots and Swarm Intelligence (3 papers), Robotic Locomotion and Control (3 papers), Reinforcement Learning in Robotics (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Geography, Planning and Development (18 citations), Control and Systems Engineering (56 citations), Computer Vision and Pattern Recognition (48 citations), Signal Processing (25 citations) and Computer Networks and Communications (47 citations). Ian Abraham has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Todd D. Murphey, Christopher B. Jones, Jingang Yi, Mitra J. Z. Hartmann, H. Berger, Justin Seipel, Howie Choset, Brenna Argall, Neil A. Thacker and Guillaume Sartoretti. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Journal of Computational and Nonlinear Dynamics and Proceedings of the National Academy of Sciences.
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.