Amin Mansoori
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Epidemiology
- Numerical Analysis top 10%
- Co-authors
- Sohrab EffatiMajid ErfanianHabibollah EsmailyMajid Ghayour‐MobarhanGordon A. FernsMajid MohammadiZeinab HosseiniMohadeseh Poudineh
- Topics
- Neural Networks and Applications (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Optimization and Variational Analysis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Cybernetics
- Partner nations
- IranUnited KingdomUnited States
In The Last Decade
Amin Mansoori
49 papers receiving 684 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 202
- Control and Systems Engineering 147
- Computational Theory and Mathematics 107
- Epidemiology 84
- Numerical Analysis 76
Countries citing papers authored by Amin Mansoori
This map shows the geographic impact of Amin Mansoori'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 Amin Mansoori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Mansoori more than expected).
Fields of papers citing papers by Amin Mansoori
This network shows the impact of papers produced by Amin Mansoori. 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 Amin Mansoori. The network helps show where Amin Mansoori may publish in the future.
Co-authorship network of co-authors of Amin Mansoori
This figure shows the co-authorship network connecting the top 25 collaborators of Amin Mansoori. A scholar is included among the top collaborators of Amin Mansoori 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 Amin Mansoori. Amin Mansoori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 23 | |
| 16 | 26 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 55 |
About Amin Mansoori
Amin Mansoori is a scholar working on Health Information Management, Statistics and Probability and Numerical Analysis, having authored 57 papers that have together received 702 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Optimization and Variational Analysis (6 papers). The work is most often cited by research in Numerical Analysis (76 citations), Health Information Management (58 citations) and Modeling and Simulation (38 citations). Amin Mansoori has collaborated with scholars based in Iran, United Kingdom and United States. Frequent co-authors include Sohrab Effati, Majid Erfanian, Habibollah Esmaily, Majid Ghayour‐Mobarhan, Gordon A. Ferns, Majid Mohammadi, Zeinab Hosseini, Mohadeseh Poudineh, Maryam Saberi‐Karimian and Zahra Khorasanchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Cybernetics.
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.