Moshe Sipper

104 papers and 1.9k indexed citations i.

About

Moshe Sipper is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Moshe Sipper has authored 104 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 44 papers in Computational Theory and Mathematics and 25 papers in Molecular Biology. Recurrent topics in Moshe Sipper’s work include Evolutionary Algorithms and Applications (53 papers), Cellular Automata and Applications (35 papers) and Modular Robots and Swarm Intelligence (21 papers). Moshe Sipper is often cited by papers focused on Evolutionary Algorithms and Applications (53 papers), Cellular Automata and Applications (35 papers) and Modular Robots and Swarm Intelligence (21 papers). Moshe Sipper collaborates with scholars based in Israel, Switzerland and United States. Moshe Sipper's co-authors include Carlos Andrés Peña-Reyes, Marco Tomassini, Jason H. Moore, Daniel Mange, André Stauffer, Mathieu S. Capcarrère, Edmund Ronald, Marco Tomassini, James A. Reggia and Gianluca Tempesti and has published in prestigious journals such as Physical Review Letters, Bioinformatics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Moshe Sipper i

Fields of papers citing papers by Moshe Sipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Sipper

Since Specialization
Citations

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