Chris Atkeson
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Human-Computer Interaction top 10%
- Computer Networks and Communications
- Co-authors
- Daniel H. WilsonGregory D. AbowdMark S. RedfernPatrick J. LoughlinArash MahboobinAnna C. J. LongMelissa MozifianDieter Fox
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Time Series Analysis and Forecasting (2 papers)Robotic Path Planning Algorithms (2 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)IEEE Transactions on Automation Science and EngineeringIEEE Robotics & Automation Magazine
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Chris Atkeson
9 papers receiving 247 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 115
- Artificial Intelligence 55
- Control and Systems Engineering 41
- Human-Computer Interaction 40
- Computer Networks and Communications 38
Countries citing papers authored by Chris Atkeson
This map shows the geographic impact of Chris Atkeson'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 Chris Atkeson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Atkeson more than expected).
Fields of papers citing papers by Chris Atkeson
This network shows the impact of papers produced by Chris Atkeson. 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 Chris Atkeson. The network helps show where Chris Atkeson may publish in the future.
Co-authorship network of co-authors of Chris Atkeson
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Atkeson. A scholar is included among the top collaborators of Chris Atkeson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Atkeson. Chris Atkeson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | 2 | |
| 3 | 53 | |
| 4 | 4 | |
| 5 | Assistive intelligent environments for automatic health monitoring | 32 |
| 6 | 23 | |
| 7 | 5 | |
| 8 | 65 | |
| 9 | Memory-Based Methods for Regression and Classification | 9 |
About Chris Atkeson
Chris Atkeson is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Software, having authored 9 papers that have together received 274 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Time Series Analysis and Forecasting (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (38 citations), Human-Computer Interaction (40 citations) and Computer Vision and Pattern Recognition (115 citations). Chris Atkeson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Daniel H. Wilson, Gregory D. Abowd, Mark S. Redfern, Patrick J. Loughlin, Arash Mahboobin, Anna C. J. Long, Melissa Mozifian, Dieter Fox, Ankur Handa and Peter Welinder. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Automation Science and Engineering 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.