Ayoub Bagheri

30 papers and 342 indexed citations i.

About

Ayoub Bagheri is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Ayoub Bagheri has authored 30 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Ayoub Bagheri’s work include Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Advanced Text Analysis Techniques (6 papers). Ayoub Bagheri is often cited by papers focused on Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Advanced Text Analysis Techniques (6 papers). Ayoub Bagheri collaborates with scholars based in The Netherlands, United Kingdom and Iran. Ayoub Bagheri's co-authors include Mohamad Saraee, Franciska de Jong, Daniel L. Oberski, Folkert W. Asselbergs, Rens van de Schoot, Arjan Sammani, Jonathan De Bruin, Raoul D. Schram, Lars Tummers and P.G.M. van der Heijden and has published in prestigious journals such as Knowledge-Based Systems, Applied Sciences and npj Digital Medicine.

In The Last Decade

Co-authorship network of co-authors of Ayoub Bagheri i

Fields of papers citing papers by Ayoub Bagheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ayoub Bagheri

Since Specialization
Citations

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