Nir Lipovetzky

113 total papers · 1.1k total citations
53 papers, 540 citations indexed

About

Nir Lipovetzky is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nir Lipovetzky has authored 53 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nir Lipovetzky's work include AI-based Problem Solving and Planning (27 papers), Logic, Reasoning, and Knowledge (17 papers) and Robotic Path Planning Algorithms (7 papers). Nir Lipovetzky is often cited by papers focused on AI-based Problem Solving and Planning (27 papers), Logic, Reasoning, and Knowledge (17 papers) and Robotic Path Planning Algorithms (7 papers). Nir Lipovetzky collaborates with scholars based in Australia, Spain and United Kingdom. Nir Lipovetzky's co-authors include Héctor Geffner, Christian Muise, Miquel Ramírez, Patrik Haslum, Daniele Magazzeni, Eden Tongson, Claudia Gonzalez Viejo, Sigfredo Fuentes, Adrian R. Pearce and Frank R. Dunshea and has published in prestigious journals such as Journal of Environmental Management, Sensors and Artificial Intelligence.

In The Last Decade

Nir Lipovetzky

45 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nir Lipovetzky 359 91 68 47 43 53 540
Mohammad Izadi 170 0.5× 110 1.2× 98 1.4× 14 0.3× 28 0.7× 60 512
Kashif Zafar 206 0.6× 152 1.7× 107 1.6× 12 0.3× 16 0.4× 45 495
Timo Mantere 69 0.2× 43 0.5× 38 0.6× 19 0.4× 24 0.6× 28 490
Kuo Zhao 197 0.5× 104 1.1× 186 2.7× 9 0.2× 37 0.9× 49 520
Yanyan Xu 145 0.4× 126 1.4× 169 2.5× 16 0.3× 37 0.9× 46 588
Alberto Rivas 287 0.8× 95 1.0× 44 0.6× 17 0.4× 143 3.3× 28 547
Songyot Nakariyakul 167 0.5× 117 1.3× 12 0.2× 13 0.3× 32 0.7× 32 490
Savas Konur 91 0.3× 25 0.3× 69 1.0× 11 0.2× 159 3.7× 52 504
Zhidong Shen 302 0.8× 71 0.8× 201 3.0× 13 0.3× 9 0.2× 46 591
Petia Koprinkova‐Hristova 224 0.6× 35 0.4× 21 0.3× 26 0.6× 27 0.6× 62 463

Countries citing papers authored by Nir Lipovetzky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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