Hamid Reza Maleki
- Control and Systems Engineering top 2%
- Management Science and Operations Research top 1%
- Statistics and Probability top 1%
- Industrial and Manufacturing Engineering top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- M. MashinchiMahbanoo TataM. ZangiabadiSadegh NiroomandHassan Mishmast NehiMaryam SalehiAbbas ParchamiMohammad Ali Yaghoobi
- Topics
- Optimization and Mathematical Programming (21 papers)Multi-Criteria Decision Making (15 papers)Fuzzy Systems and Optimization (12 papers)
In The Last Decade
Hamid Reza Maleki
44 papers receiving 840 citations
Peers
Comparison fields: 5 of 75
- Control and Systems Engineering 539
- Management Science and Operations Research 533
- Statistics and Probability 394
- Industrial and Manufacturing Engineering 122
- Computational Theory and Mathematics 96
Countries citing papers authored by Hamid Reza Maleki
This map shows the geographic impact of Hamid Reza Maleki'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 Hamid Reza Maleki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Reza Maleki more than expected).
Fields of papers citing papers by Hamid Reza Maleki
This network shows the impact of papers produced by Hamid Reza Maleki. 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 Hamid Reza Maleki. The network helps show where Hamid Reza Maleki may publish in the future.
Co-authorship network of co-authors of Hamid Reza Maleki
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Reza Maleki. A scholar is included among the top collaborators of Hamid Reza Maleki 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 Hamid Reza Maleki. Hamid Reza Maleki 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 40 | |
| 12 | Multiobjective Geometric Programming with Fuzzy Parameters | 1 |
| 13 | 0 | |
| 14 | 28 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | Intuitionistic fuzzy numbers and it's applications in fuzzy optimization problem | 38 |
| 18 | Confidence interval for fuzzy process capability index | 5 |
| 19 | 8 | |
| 20 | FUZZY NUMBER LINEAR PROGRAMMING | 8 |
About Hamid Reza Maleki
Hamid Reza Maleki is a scholar working on Statistics and Probability, Management Science and Operations Research and Control and Systems Engineering, having authored 48 papers that have together received 918 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (21 papers), Multi-Criteria Decision Making (15 papers) and Fuzzy Systems and Optimization (12 papers). The work is most often cited by research in Statistics and Probability (394 citations), Management Science and Operations Research (533 citations) and Control and Systems Engineering (539 citations). Hamid Reza Maleki has collaborated with scholars based in Iran, Italy and Cyprus. Frequent co-authors include M. Mashinchi, Mahbanoo Tata, M. Zangiabadi, Sadegh Niroomand, Hassan Mishmast Nehi, Maryam Salehi, Abbas Parchami, Mohammad Ali Yaghoobi, Patrizia Beraldi and Sara Khodaparasti. Their work appears in journals such as Scientific Reports, Fuzzy Sets and Systems and Tetrahedron Letters.
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.