Leo Guelman

6 papers and 259 indexed citations i.

About

Leo Guelman is a scholar working on Statistics and Probability, Artificial Intelligence and Marketing. According to data from OpenAlex, Leo Guelman has authored 6 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Marketing. Recurrent topics in Leo Guelman’s work include Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Leo Guelman is often cited by papers focused on Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Leo Guelman collaborates with scholars based in Spain. Leo Guelman's co-authors include Montserrat Guillén and Ana María Pérez Marín and has published in prestigious journals such as Expert Systems with Applications, Decision Support Systems and Insurance Mathematics and Economics.

In The Last Decade

Co-authorship network of co-authors of Leo Guelman i

Fields of papers citing papers by Leo Guelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leo Guelman

Since Specialization
Citations

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