Zackory Erickson
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 10
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- Gaze Tracking and Assistive Technology 3
- Hand Gesture Recognition Systems 3
- Co-authors
- Charles C. Kemp (7 shared papers)Ariel Kapusta (3 shared papers)Daehyung Park (2 shared papers)Tapomayukh Bhattacharjee (1 shared paper)C. Karen Liu (4 shared papers)Greg Turk (4 shared papers)Wenhao Yu (3 shared papers)David Held (7 shared papers)
- Journals
- IEEE Robotics and Automation Letters (7 papers)Advanced Healthcare Materials (1 paper)Neuropsychopharmacology (1 paper)IEEE Transactions on Robotics (1 paper)Autonomous Robots (1 paper)
- Partner nations
- United StatesSwedenSpain
In The Last Decade
Zackory Erickson
26 papers receiving 311 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 45
- Control and Systems Engineering 163
- Computer Vision and Pattern Recognition 62
- Artificial Intelligence 89
- Cognitive Neuroscience 42
Countries citing papers authored by Zackory Erickson
This map shows the geographic impact of Zackory Erickson'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 Zackory Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zackory Erickson more than expected).
Fields of papers citing papers by Zackory Erickson
This network shows the impact of papers produced by Zackory Erickson. 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 Zackory Erickson. The network helps show where Zackory Erickson may publish in the future.
Co-authors
The 25 scholars most cited alongside Zackory Erickson, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 58 | |
| 2 | 2019 | 43 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 35 | |
| 5 | 2017 | 25 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Zackory Erickson
Zackory Erickson is a scholar working on Control and Systems Engineering, Human-Computer Interaction, Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 31 papers that have together received 319 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (10 papers), Tactile and Sensory Interactions (5 papers), Gaze Tracking and Assistive Technology (3 papers), Context-Aware Activity Recognition Systems (3 papers), Hand Gesture Recognition Systems (3 papers), Muscle activation and electromyography studies (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Human-Computer Interaction (45 citations), Control and Systems Engineering (163 citations), Computer Vision and Pattern Recognition (62 citations), Artificial Intelligence (89 citations) and Cognitive Neuroscience (42 citations). Zackory Erickson has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Charles C. Kemp, Ariel Kapusta, Daehyung Park, Tapomayukh Bhattacharjee, C. Karen Liu, Greg Turk, Wenhao Yu, David Held, Hokeun Kim and Alexander Clegg. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Healthcare Materials, Neuropsychopharmacology, IEEE Transactions on Robotics and Autonomous Robots.
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.