Nir Lipovetzky
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Food Science
- Computational Theory and Mathematics top 10%
- Co-authors
- Héctor GeffnerChristian MuiseMiquel RamírezDaniele MagazzeniPatrik HaslumEden TongsonClaudia Gonzalez ViejoSigfredo Fuentes
- Topics
- AI-based Problem Solving and Planning (27 papers)Logic, Reasoning, and Knowledge (17 papers)Constraint Satisfaction and Optimization (7 papers)
- Partner nations
- AustraliaSpainUnited Kingdom
In The Last Decade
Nir Lipovetzky
46 papers receiving 526 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 363
- Computer Vision and Pattern Recognition 91
- Computer Networks and Communications 69
- Food Science 48
- Computational Theory and Mathematics 44
Countries citing papers authored by Nir Lipovetzky
This map shows the geographic impact of Nir Lipovetzky'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 Nir Lipovetzky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Lipovetzky more than expected).
Fields of papers citing papers by Nir Lipovetzky
This network shows the impact of papers produced by Nir Lipovetzky. 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 Nir Lipovetzky. The network helps show where Nir Lipovetzky may publish in the future.
Co-authorship network of co-authors of Nir Lipovetzky
This figure shows the co-authorship network connecting the top 25 collaborators of Nir Lipovetzky. A scholar is included among the top collaborators of Nir Lipovetzky 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 Nir Lipovetzky. Nir Lipovetzky 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 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths | 2 |
| 12 | 50 | |
| 13 | 19 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | Width and Inference Based Planners: SIW, BFS(f), and PROBE | 6 |
| 17 | Classical planning with simulators: results on the Atari video games | 30 |
| 18 | Approximate Uni-directional Benders Decomposition | 1 |
| 19 | Classical Planning Algorithms on the Atari Video Games | 1 |
| 20 | Fair LTL synthesis for non-deterministic systems using strong cyclic planners | 21 |
About Nir Lipovetzky
Nir Lipovetzky is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Information Systems, having authored 54 papers that have together received 551 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (27 papers), Logic, Reasoning, and Knowledge (17 papers) and Constraint Satisfaction and Optimization (7 papers). The work is most often cited by research in Artificial Intelligence (363 citations), Software (34 citations) and Computer Vision and Pattern Recognition (91 citations). Nir Lipovetzky has collaborated with scholars based in Australia, Spain and United Kingdom. Frequent co-authors include Héctor Geffner, Christian Muise, Miquel Ramírez, Daniele Magazzeni, Patrik Haslum, Eden Tongson, Claudia Gonzalez Viejo, Sigfredo Fuentes, Adrian R. Pearce and Frank R. Dunshea. Their work appears in journals such as Journal of Environmental Management, Sensors and 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.