Kevin S. Xu
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Alfred O. HeroMark KligerYuning ZhangBrian ErikssonChandan K. ReddyJarvis HauptEdoardo M. AiroldiJeff Calder
- Topics
- Complex Network Analysis Techniques (5 papers)EEG and Brain-Computer Interfaces (3 papers)Opinion Dynamics and Social Influence (3 papers)
- Journals
- Journal of Biological ChemistryThe Science of The Total EnvironmentThe Journal of the Acoustical Society of America
- Partner nations
- United StatesGermanyChina
In The Last Decade
Kevin S. Xu
27 papers receiving 457 citations
Peers
Comparison fields: 5 of 115
- Statistical and Nonlinear Physics 184
- Artificial Intelligence 141
- Experimental and Cognitive Psychology 60
- Cognitive Neuroscience 58
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Kevin S. Xu
This map shows the geographic impact of Kevin S. Xu'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 Kevin S. Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin S. Xu more than expected).
Fields of papers citing papers by Kevin S. Xu
This network shows the impact of papers produced by Kevin S. Xu. 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 Kevin S. Xu. The network helps show where Kevin S. Xu may publish in the future.
Co-authorship network of co-authors of Kevin S. Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin S. Xu. A scholar is included among the top collaborators of Kevin S. Xu 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 Kevin S. Xu. Kevin S. Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 21 | |
| 8 | 0 | |
| 9 | Building Real-World Chatbot Interviewers: Lessons from a Wizard-of-Oz Field Study. | 6 |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 30 | |
| 14 | 4 | |
| 15 | Consistent estimation of dynamic and multi-layer block models | 18 |
| 16 | 12 | |
| 17 | 128 | |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 13 |
About Kevin S. Xu
Kevin S. Xu is a scholar working on Transplantation, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), EEG and Brain-Computer Interfaces (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (184 citations), Computational Mathematics (5 citations) and Transportation (37 citations). Kevin S. Xu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Alfred O. Hero, Mark Kliger, Yuning Zhang, Brian Eriksson, Chandan K. Reddy, Jarvis Haupt, Edoardo M. Airoldi, Jeff Calder, Jin Z. Zhang and Deep Jariwala. Their work appears in journals such as Journal of Biological Chemistry, The Science of The Total Environment and The Journal of the Acoustical Society of America.
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.