Mahdi Nasiri
- Artificial Intelligence top 5%
- Information Systems top 5%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Behrouz Minaei‐BidgoliM. R. MosaviRoghayeh BarmakiArash RashidianMahmood MahmoodiMohammad ArabF. VafaeiMansoor Rezghi
- Topics
- Data Mining Algorithms and Applications (7 papers)Recommender Systems and Techniques (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
In The Last Decade
Mahdi Nasiri
32 papers receiving 621 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 267
- Information Systems 236
- Aerospace Engineering 161
- Electrical and Electronic Engineering 141
- Computational Theory and Mathematics 91
Countries citing papers authored by Mahdi Nasiri
This map shows the geographic impact of Mahdi Nasiri'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 Mahdi Nasiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Nasiri more than expected).
Fields of papers citing papers by Mahdi Nasiri
This network shows the impact of papers produced by Mahdi Nasiri. 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 Mahdi Nasiri. The network helps show where Mahdi Nasiri may publish in the future.
Co-authorship network of co-authors of Mahdi Nasiri
This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Nasiri. A scholar is included among the top collaborators of Mahdi Nasiri 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 Mahdi Nasiri. Mahdi Nasiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 59 | |
| 4 | 57 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 42 | |
| 8 | 4 | |
| 9 | Effect of Rating Time for Cold Start Problem in Collaborative Filtering | 1 |
| 10 | 11 | |
| 11 | 94 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 34 | |
| 16 | Numeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm | 4 |
| 17 | 4 | |
| 18 | 99 | |
| 19 | 1 | |
| 20 | 12 |
About Mahdi Nasiri
Mahdi Nasiri is a scholar working on Computational Mathematics, Information Systems and Media Technology, having authored 32 papers that have together received 671 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Recommender Systems and Techniques (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Health Information Management (57 citations), Information Systems (236 citations) and Artificial Intelligence (267 citations). Mahdi Nasiri has collaborated with scholars based in Iran, India and Ireland. Frequent co-authors include Behrouz Minaei‐Bidgoli, M. R. Mosavi, Roghayeh Barmaki, Arash Rashidian, Mahmood Mahmoodi, Mohammad Arab, F. Vafaei, Mansoor Rezghi, Habib Badri Ghavifekr and Hadi Mirzajani. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information 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.