Matthew Gombolay
About
In The Last Decade
Matthew Gombolay
89 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 612
- Social Psychology 522
- Control and Systems Engineering 251
- Industrial and Manufacturing Engineering 179
- Computer Vision and Pattern Recognition 171
Countries citing papers authored by Matthew Gombolay
This map shows the geographic impact of Matthew Gombolay'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 Matthew Gombolay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Gombolay more than expected).
Fields of papers citing papers by Matthew Gombolay
This network shows the impact of papers produced by Matthew Gombolay. 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 Matthew Gombolay. The network helps show where Matthew Gombolay may publish in the future.
Co-authorship network of co-authors of Matthew Gombolay
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Gombolay. A scholar is included among the top collaborators of Matthew Gombolay 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 Matthew Gombolay. Matthew Gombolay 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 36 | |
| 10 | 32 | |
| 11 | Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning | 18 |
| 12 | ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. | 3 |
| 13 | Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. | 1 |
| 14 | 8 | |
| 15 | Learning to tutor from expert demonstrators via apprenticeship scheduling | 1 |
| 16 | Apprenticeship scheduling: learning to schedule from human experts | 17 |
| 17 | Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales. | 3 |
| 18 | Coordination of Human-Robot Teaming with Human Task Preferences. | 24 |
| 19 | 156 | |
| 20 | Challenges in collaborative scheduling of human-robot teams | 3 |
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.