Evan Ackerman
Impact in
- Aerospace Engineering top 10%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Automated Systems 4
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- Robotic Path Planning Algorithms 4
- Co-authors
- Erico Guizzo (6 shared papers)Eliza Strickland (2 shared papers)Charles Q. Choi (4 shared papers)Glenn Zorpette (1 shared paper)Rebecca Sohn (1 shared paper)Lucas Laursen (1 shared paper)Stephen Cass (1 shared paper)Samuel K. Moore (2 shared papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Evan Ackerman
36 papers receiving 383 citations
Peers
Comparison fields: 5 of 98
- Aerospace Engineering 132
- Instrumentation 16
- Automotive Engineering 55
- Computer Vision and Pattern Recognition 88
- Industrial and Manufacturing Engineering 42
Countries citing papers authored by Evan Ackerman
This map shows the geographic impact of Evan Ackerman'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 Evan Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Ackerman more than expected).
Fields of papers citing papers by Evan Ackerman
This network shows the impact of papers produced by Evan Ackerman. 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 Evan Ackerman. The network helps show where Evan Ackerman may publish in the future.
Co-authors
The 11 scholars most cited alongside Evan Ackerman, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2019 | 83 | |
| 3 | 2012 | 53 | |
| 4 | 2015 | 34 | |
| 5 | 2016 | 29 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2019 | 2 |
About Evan Ackerman
Evan Ackerman is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Automotive Engineering and Aerospace Engineering, having authored 39 papers that have together received 408 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Robotics and Automated Systems (4 papers), Transportation and Mobility Innovations (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Human-Automation Interaction and Safety (2 papers), Biomedical and Engineering Education (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Aerospace Engineering (132 citations), Instrumentation (16 citations), Automotive Engineering (55 citations), Computer Vision and Pattern Recognition (88 citations) and Industrial and Manufacturing Engineering (42 citations). Evan Ackerman has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Erico Guizzo, Eliza Strickland, Charles Q. Choi, Glenn Zorpette, Rebecca Sohn, Lucas Laursen, Stephen Cass, Samuel K. Moore, Philip Ross and Mark Harris. Their work appears in journals such as IEEE Spectrum and IEEE Robotics & Automation 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.