Ariel Felner

163 papers and 3.2k indexed citations i.

About

Ariel Felner is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ariel Felner has authored 163 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Artificial Intelligence, 90 papers in Computer Networks and Communications and 78 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ariel Felner’s work include Robotic Path Planning Algorithms (71 papers), AI-based Problem Solving and Planning (57 papers) and Distributed Constraint Optimization Problems and Algorithms (50 papers). Ariel Felner is often cited by papers focused on Robotic Path Planning Algorithms (71 papers), AI-based Problem Solving and Planning (57 papers) and Distributed Constraint Optimization Problems and Algorithms (50 papers). Ariel Felner collaborates with scholars based in Israel, United States and Canada. Ariel Felner's co-authors include Roni Stern, Nathan Sturtevant, Guni Sharon, Richard E. Korf, Robert C. Holte, Sven Koenig, Jonathan Schaeffer, Meir Goldenberg, Eli Boyarski and Kenny Daniel and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Ariel Felner i

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Fields of papers citing papers by Ariel Felner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Felner. 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 Ariel Felner. The network helps show where Ariel Felner may publish in the future.

Countries citing papers authored by Ariel Felner

Since Specialization

Citations

This map shows the geographic impact of Ariel Felner'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 Ariel Felner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Felner more than expected).

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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