Dana Fisman

28 papers and 242 indexed citations i.

About

Dana Fisman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Dana Fisman has authored 28 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 7 papers in Software. Recurrent topics in Dana Fisman’s work include Machine Learning and Algorithms (11 papers), semigroups and automata theory (10 papers) and Formal Methods in Verification (7 papers). Dana Fisman is often cited by papers focused on Machine Learning and Algorithms (11 papers), semigroups and automata theory (10 papers) and Formal Methods in Verification (7 papers). Dana Fisman collaborates with scholars based in Israel, United States and Germany. Dana Fisman's co-authors include Cindy Eisner, Rajeev Alur, Rishabh Singh, Dana Angluin, Armando Solar-Lezama, Sarah Eisenstat, Grigore Roşu, Udi Boker, Shoham Ben-David and Sitvanit Ruah and has published in prestigious journals such as Communications of the ACM, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Dana Fisman i

Fields of papers citing papers by Dana Fisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dana Fisman

Since Specialization
Citations

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