Mohsen Afsharchi
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Sajad AhmadianMajid MeghdadıKeivan KianmehrElnaz DavoodiMahdi JaliliYongli RenBehrouz H. FarMohammad Aliannejadi
- Topics
- Semantic Web and Ontologies (10 papers)Recommender Systems and Techniques (9 papers)Multi-Agent Systems and Negotiation (8 papers)
In The Last Decade
Mohsen Afsharchi
42 papers receiving 584 citations
Peers
Comparison fields: 5 of 71
- Information Systems 365
- Artificial Intelligence 277
- Computer Vision and Pattern Recognition 158
- Computer Networks and Communications 108
- Statistical and Nonlinear Physics 91
Countries citing papers authored by Mohsen Afsharchi
This map shows the geographic impact of Mohsen Afsharchi'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 Mohsen Afsharchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Afsharchi more than expected).
Fields of papers citing papers by Mohsen Afsharchi
This network shows the impact of papers produced by Mohsen Afsharchi. 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 Mohsen Afsharchi. The network helps show where Mohsen Afsharchi may publish in the future.
Co-authorship network of co-authors of Mohsen Afsharchi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Afsharchi. A scholar is included among the top collaborators of Mohsen Afsharchi 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 Mohsen Afsharchi. Mohsen Afsharchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 32 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 44 | |
| 10 | 43 | |
| 11 | 3 | |
| 12 | 69 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | Ontology-learning Supported Sematic Search Using Cooperative Agents. | 1 |
| 19 | Adjudicator: A Statistical Approach for Learning Ontology Concepts From Peer Agents | 2 |
| 20 | A Unified View of Software Agents Interactions | 1 |
About Mohsen Afsharchi
Mohsen Afsharchi is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 47 papers that have together received 604 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Recommender Systems and Techniques (9 papers) and Multi-Agent Systems and Negotiation (8 papers). The work is most often cited by research in Information Systems (365 citations), Artificial Intelligence (277 citations) and Computer Vision and Pattern Recognition (158 citations). Mohsen Afsharchi has collaborated with scholars based in Iran, Canada and Australia. Frequent co-authors include Sajad Ahmadian, Majid Meghdadı, Keivan Kianmehr, Elnaz Davoodi, Mahdi Jalili, Yongli Ren, Behrouz H. Far, Mohammad Aliannejadi, Hossein A. Rahmani and Jörg Denzinger. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.
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.