Audine Subias

32 papers and 258 indexed citations i.

About

Audine Subias is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Audine Subias has authored 32 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 11 papers in Management Information Systems. Recurrent topics in Audine Subias’s work include Petri Nets in System Modeling (15 papers), Formal Methods in Verification (11 papers) and Business Process Modeling and Analysis (11 papers). Audine Subias is often cited by papers focused on Petri Nets in System Modeling (15 papers), Formal Methods in Verification (11 papers) and Business Process Modeling and Analysis (11 papers). Audine Subias collaborates with scholars based in France, Colombia and Switzerland. Audine Subias's co-authors include Yannick Pencolé, Louise Travé-Massuyès, José Aguilar, Ernesto Expósito, Fernando Jiménez, Corinne Alonso, Corinne Alonso, R. Pons, Éric Zamaï and Didier Le Botlan and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Engineering Applications of Artificial Intelligence and Computers in Industry.

In The Last Decade

Co-authorship network of co-authors of Audine Subias i

Fields of papers citing papers by Audine Subias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Audine Subias

Since Specialization
Citations

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