Mohammad Ghasem Akbari
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Gholamreza HesamianMahdi DoostparastMahdi RoozbehN. BalakrishnaHadi Alızadeh NoughabiReza ZareiFarhad SamadzadeganAmir Rezaei
- Topics
- Fuzzy Systems and Optimization (65 papers)Multi-Criteria Decision Making (53 papers)Fuzzy Logic and Control Systems (27 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Fuzzy Systems
In The Last Decade
Mohammad Ghasem Akbari
73 papers receiving 540 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 434
- Management Science and Operations Research 345
- Artificial Intelligence 232
- Control and Systems Engineering 67
- Statistics, Probability and Uncertainty 60
Countries citing papers authored by Mohammad Ghasem Akbari
This map shows the geographic impact of Mohammad Ghasem Akbari'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 Mohammad Ghasem Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ghasem Akbari more than expected).
Fields of papers citing papers by Mohammad Ghasem Akbari
This network shows the impact of papers produced by Mohammad Ghasem Akbari. 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 Mohammad Ghasem Akbari. The network helps show where Mohammad Ghasem Akbari may publish in the future.
Co-authorship network of co-authors of Mohammad Ghasem Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ghasem Akbari. A scholar is included among the top collaborators of Mohammad Ghasem Akbari 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 Mohammad Ghasem Akbari. Mohammad Ghasem Akbari 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 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | New Regional Co-location Pattern Mining Method Using Fuzzy Definition of Neighborhood | 4 |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 25 | |
| 20 | Discrete and Continuous Random Variables With Fuzzy Parameter | 1 |
About Mohammad Ghasem Akbari
Mohammad Ghasem Akbari is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 77 papers that have together received 566 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (65 papers), Multi-Criteria Decision Making (53 papers) and Fuzzy Logic and Control Systems (27 papers). The work is most often cited by research in Statistics and Probability (434 citations), Management Science and Operations Research (345 citations) and Statistics, Probability and Uncertainty (60 citations). Mohammad Ghasem Akbari has collaborated with scholars based in Iran, Canada and Russia. Frequent co-authors include Gholamreza Hesamian, Mahdi Doostparast, Mahdi Roozbeh, N. Balakrishna, Hadi Alızadeh Noughabi, Reza Zarei, Farhad Samadzadegan, Amir Rezaei, Jalal Chachi and Amir Homayoon Meghdadi Isfahani. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Fuzzy 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.