William H. Guss
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Computational Theory and Mathematics
- Social Psychology
- Co-authors
- Nicholay TopinManuela VelosoRuslan SalakhutdinovPhillip WangStephanie MilaniSharada P. MohantyOriol VinyalsKeisuke Nakata
- Topics
- Reinforcement Learning in Robotics (4 papers)Machine Learning and Data Classification (2 papers)Robot Manipulation and Learning (2 papers)
- Journals
- arXiv (Cornell University)
- Partner nations
- United States
In The Last Decade
William H. Guss
4 papers receiving 45 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 33
- Computer Vision and Pattern Recognition 14
- Sociology and Political Science 6
- Computational Theory and Mathematics 5
- Social Psychology 4
Countries citing papers authored by William H. Guss
This map shows the geographic impact of William H. Guss'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 William H. Guss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Guss more than expected).
Fields of papers citing papers by William H. Guss
This network shows the impact of papers produced by William H. Guss. 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 William H. Guss. The network helps show where William H. Guss may publish in the future.
Co-authorship network of co-authors of William H. Guss
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Guss. A scholar is included among the top collaborators of William H. Guss 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 William H. Guss. William H. Guss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective | 3 |
| 3 | Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning | 1 |
| 4 | 41 |
About William H. Guss
William H. Guss is a scholar working on Artificial Intelligence, Control and Systems Engineering and Infectious Diseases, having authored 4 papers that have together received 47 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Machine Learning and Data Classification (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Artificial Intelligence (33 citations), Computer Vision and Pattern Recognition (14 citations) and Software (2 citations). William H. Guss has collaborated with scholars based in United States. Frequent co-authors include Nicholay Topin, Manuela Veloso, Ruslan Salakhutdinov, Phillip Wang, Stephanie Milani, Sharada P. Mohanty, Oriol Vinyals and Keisuke Nakata. Their work appears in journals such as arXiv (Cornell University).
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.