Ariel Monteserin

18 papers and 309 indexed citations i.

About

Ariel Monteserin is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Ariel Monteserin has authored 18 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 5 papers in Developmental and Educational Psychology. Recurrent topics in Ariel Monteserin’s work include Multi-Agent Systems and Negotiation (7 papers), Online Learning and Analytics (4 papers) and Learning Styles and Cognitive Differences (3 papers). Ariel Monteserin is often cited by papers focused on Multi-Agent Systems and Negotiation (7 papers), Online Learning and Analytics (4 papers) and Learning Styles and Cognitive Differences (3 papers). Ariel Monteserin collaborates with scholars based in Argentina. Ariel Monteserin's co-authors include Analı́a Amandi, Alfredo Teyseyre, Silvia Schiaffino, J. Andrés Díaz‐Pace, Marcelo G. Armentano and Patricio García Báez and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Ariel Monteserin i

Fields of papers citing papers by Ariel Monteserin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ariel Monteserin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025