Ayoub Bagheri
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Co-authors
- Mohamad SaraeeFranciska de JongHossein Ebrahimpour-KomlehDaniel L. OberskiRens van de SchootFolkert W. AsselbergsJonathan De BruinArjan Sammani
- Topics
- Topic Modeling (9 papers)Sentiment Analysis and Opinion Mining (7 papers)Biomedical Text Mining and Ontologies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaKnowledge-Based SystemsApplied Sciences
- Partner nations
- NetherlandsIranUnited Kingdom
In The Last Decade
Ayoub Bagheri
35 papers receiving 521 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 334
- Information Systems 132
- Sociology and Political Science 58
- Cardiology and Cardiovascular Medicine 41
- Molecular Biology 35
Countries citing papers authored by Ayoub Bagheri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 48 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 32 | |
| 14 | Opinion Spam Detection with Attention-Based Neural Networks | 5 |
| 15 | 26 | |
| 16 | 48 | |
| 17 | 4 | |
| 18 | 119 | |
| 19 | 4 | |
| 20 | 3 |
About Ayoub Bagheri
Ayoub Bagheri is a scholar working on Artificial Intelligence, Information Systems and Management and Health Information Management, having authored 36 papers that have together received 539 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (334 citations) and Information Systems (132 citations). Ayoub Bagheri has collaborated with scholars based in Netherlands, Iran and United Kingdom. Frequent co-authors include Mohamad Saraee, Franciska de Jong, Hossein Ebrahimpour-Komleh, Daniel L. Oberski, Rens van de Schoot, Folkert W. Asselbergs, Jonathan De Bruin, Arjan Sammani, Raoul D. Schram and Lars Tummers. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Applied Sciences.
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.