Ayoub Bagheri

65 total papers · 972 total citations
36 papers, 530 citations indexed

About

Ayoub Bagheri is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ayoub Bagheri has authored 36 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Ayoub Bagheri's work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers) and Biomedical Text Mining and Ontologies (7 papers). Ayoub Bagheri is often cited by papers focused on Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers) and Biomedical Text Mining and Ontologies (7 papers). Ayoub Bagheri collaborates with scholars based in Netherlands, Iran and United Kingdom. Ayoub Bagheri's co-authors include Mohamad Saraee, Franciska de Jong, Hossein Ebrahimpour-Komleh, Daniel L. Oberski, Rens van de Schoot, Jonathan De Bruin, Folkert W. Asselbergs, Arjan Sammani, Raoul D. Schram and Lars Tummers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Applied Sciences.

In The Last Decade

Ayoub Bagheri

35 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ayoub Bagheri 330 131 58 40 35 36 530
Kevin Chai 107 0.3× 57 0.4× 56 1.0× 10 0.3× 18 0.5× 42 478
Mirka Saarela 181 0.5× 39 0.3× 14 0.2× 12 0.3× 17 0.5× 34 530
Stefano Bromuri 251 0.8× 52 0.4× 41 0.7× 31 0.8× 45 1.3× 54 555
Inbal Yahav 140 0.4× 69 0.5× 78 1.3× 7 0.2× 17 0.5× 45 529
Scott McLachlan 210 0.6× 29 0.2× 35 0.6× 18 0.5× 42 1.2× 30 566
Fahd S. Alotaibi 329 1.0× 60 0.5× 27 0.5× 29 0.7× 16 0.5× 46 594
Anca Bucur 164 0.5× 139 1.1× 20 0.3× 5 0.1× 118 3.4× 55 526
Saad Zafar 188 0.6× 107 0.8× 68 1.2× 21 0.5× 17 0.5× 34 562
Piotr Przybyła 243 0.7× 111 0.8× 139 2.4× 5 0.1× 98 2.8× 28 544
Martin Gerdes 81 0.2× 82 0.6× 29 0.5× 38 0.9× 29 0.8× 45 601

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).

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.

Co-authorship network of co-authors of Ayoub Bagheri

This figure shows the co-authorship network connecting the top 25 collaborators of Ayoub Bagheri. A scholar is included among the top collaborators of Ayoub Bagheri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ayoub Bagheri. Ayoub Bagheri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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