Levi H. S. Lelis
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Signal Processing
- Co-authors
- Jörg SanderRobert C. HolteSandra ZillesJulián P. MariñoSantiago OntañónKobi GalRoni SternCláudio Fabiano Motta Toledo
- Topics
- Artificial Intelligence in Games (23 papers)AI-based Problem Solving and Planning (19 papers)Reinforcement Learning in Robotics (11 papers)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Levi H. S. Lelis
47 papers receiving 392 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 346
- Computer Vision and Pattern Recognition 128
- Computer Networks and Communications 75
- Sociology and Political Science 73
- Signal Processing 38
Countries citing papers authored by Levi H. S. Lelis
This map shows the geographic impact of Levi H. S. Lelis'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 Levi H. S. Lelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levi H. S. Lelis more than expected).
Fields of papers citing papers by Levi H. S. Lelis
This network shows the impact of papers produced by Levi H. S. Lelis. 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 Levi H. S. Lelis. The network helps show where Levi H. S. Lelis may publish in the future.
Co-authorship network of co-authors of Levi H. S. Lelis
This figure shows the co-authorship network connecting the top 25 collaborators of Levi H. S. Lelis. A scholar is included among the top collaborators of Levi H. S. Lelis 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 Levi H. S. Lelis. Levi H. S. Lelis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | Single-Agent Policy Tree Search With Guarantees | 3 |
| 10 | 22 | |
| 11 | 6 | |
| 12 | Heuristic subset selection in classical planning | 6 |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | Predicting the size of depth-first branch and bound search trees | 18 |
| 19 | 21 | |
| 20 | 58 |
About Levi H. S. Lelis
Levi H. S. Lelis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 51 papers that have together received 411 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (23 papers), AI-based Problem Solving and Planning (19 papers) and Reinforcement Learning in Robotics (11 papers). The work is most often cited by research in Artificial Intelligence (346 citations), Computer Vision and Pattern Recognition (128 citations) and Signal Processing (38 citations). Levi H. S. Lelis has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Jörg Sander, Robert C. Holte, Sandra Zilles, Julián P. Mariño, Santiago Ontañón, Kobi Gal, Roni Stern, Cláudio Fabiano Motta Toledo, Mário A. Nascimento and Rina Dechter. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and AI 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.