Saul Amarel

8 papers and 350 indexed citations i.

About

Saul Amarel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Saul Amarel has authored 8 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Saul Amarel’s work include Logic, Reasoning, and Knowledge (1 paper), Ship Hydrodynamics and Maneuverability (1 paper) and Graph Theory and Algorithms (1 paper). Saul Amarel is often cited by papers focused on Logic, Reasoning, and Knowledge (1 paper), Ship Hydrodynamics and Maneuverability (1 paper) and Graph Theory and Algorithms (1 paper). Saul Amarel collaborates with scholars based in United States. Saul Amarel's co-authors include Aran Safir, Casimir A. Kulikowski, Sholom M. Weiss, R. O. Winder, Dana Nau, Raymond Reiter, Leonard Bolc, Donald Loveland, Steven L. Shafer and Alan W. Biermann and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Saul Amarel i

Fields of papers citing papers by Saul Amarel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saul Amarel

Since Specialization
Citations

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