Daniel Yankelevich

8 papers and 69 indexed citations i.

About

Daniel Yankelevich is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Daniel Yankelevich has authored 8 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Daniel Yankelevich’s work include Formal Methods in Verification (3 papers), Advanced Software Engineering Methodologies (2 papers) and Petri Nets in System Modeling (2 papers). Daniel Yankelevich is often cited by papers focused on Formal Methods in Verification (3 papers), Advanced Software Engineering Methodologies (2 papers) and Petri Nets in System Modeling (2 papers). Daniel Yankelevich collaborates with scholars based in Italy, United States and Argentina. Daniel Yankelevich's co-authors include Alexander L. Wolf, Paola Inverardi, Ugo Montanari, Sebastián Uchitel, F. Sayegh, Corrado Priami, Nicoletta De Francesco, A. Bagur, Paola Inverardi and Beatriz Oliveri and has published in prestigious journals such as Frontiers in Endocrinology, Theoretical Computer Science and Climacteric.

In The Last Decade

Co-authorship network of co-authors of Daniel Yankelevich i

Fields of papers citing papers by Daniel Yankelevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Yankelevich

Since Specialization
Citations

This map shows the geographic impact of Daniel Yankelevich'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 Daniel Yankelevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Yankelevich 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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2025