Eli Boyarski
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 5%
- Aerospace Engineering
- Topics
- Robotic Path Planning Algorithms (20 papers)Multi-Agent Systems and Negotiation (6 papers)Vehicle Routing Optimization Methods (6 papers)
- Journals
- Journal of Artificial Intelligence ResearchMonash University Research Portal (Monash University)National Conference on Artificial Intelligence
- Partner nations
- IsraelUnited StatesCzechia
In The Last Decade
Eli Boyarski
20 papers receiving 422 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 371
- Artificial Intelligence 189
- Computer Networks and Communications 105
- Industrial and Manufacturing Engineering 87
- Aerospace Engineering 67
Countries citing papers authored by Eli Boyarski
This map shows the geographic impact of Eli Boyarski'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 Eli Boyarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Boyarski more than expected).
Fields of papers citing papers by Eli Boyarski
This network shows the impact of papers produced by Eli Boyarski. 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 Eli Boyarski. The network helps show where Eli Boyarski may publish in the future.
Co-authorship network of co-authors of Eli Boyarski
This figure shows the co-authorship network connecting the top 25 collaborators of Eli Boyarski. A scholar is included among the top collaborators of Eli Boyarski 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 Eli Boyarski. Eli Boyarski 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 | 5 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search | 4 |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 77 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 20 | |
| 16 | 75 | |
| 17 | 94 | |
| 18 | 4 | |
| 19 | 18 | |
| 20 | 33 |
About Eli Boyarski
Eli Boyarski is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 21 papers that have together received 433 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (20 papers), Multi-Agent Systems and Negotiation (6 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Industrial and Manufacturing Engineering (87 citations) and Software (26 citations). Eli Boyarski has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Ariel Felner, Roni Stern, Sven Koenig, Jiaoyang Li, Hang Ma, Guni Sharon, Pavel Surynek, Liron Cohen, T. K. Satish Kumar and Solomon Eyal Shimony. Their work appears in journals such as Journal of Artificial Intelligence Research, Monash University Research Portal (Monash University) and National Conference on Artificial Intelligence.
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.