M. Mashinchi

85 papers receiving 1.2k citations

Peers

M. Mashinchi
Comparison fields: 5 of 92
  • Statistics and Probability 568
  • Management Science and Operations Research 681
  • Statistics, Probability and Uncertainty 330
  • Control and Systems Engineering 488
  • Computational Theory and Mathematics 178
Replace Henry Lam with:
Henry Lam United States
Tapan Kumar Pal India
M.K. Luhandjula South Africa
Kiyoji Asai Japan
E.S. Lee United States
Q. M. Danish Lohani India
Gerd Bohlender Germany
Paweł Zieliński Poland
F.R.B. Cruz Brazil
Esfandiar Eslami Iran
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Citations per year

Countries citing papers authored by M. Mashinchi

Since Specialization
Citations

This map shows the geographic impact of M. Mashinchi'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 M. Mashinchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mashinchi more than expected).

Fields of papers citing papers by M. Mashinchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Mashinchi. 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 M. Mashinchi. The network helps show where M. Mashinchi may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Mashinchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Mashinchi Line = papers co-authored together M. Mashinchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000238
2 201087
3 200685
4 201371
5
Fuzzy confidence interval for fuzzy process capability index
200649
6 201142
7 200841
8 201333
9 201330
10 200829
11 200929
12 201528
13 201025
14 200925
15 199221
16 201620
17 201317
18 201017
19 200916
20 200115

About M. Mashinchi

M. Mashinchi is a scholar working on Management Science and Operations Research, Statistics and Probability, Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (38 papers), Fuzzy Systems and Optimization (24 papers), Advanced Statistical Process Monitoring (19 papers), Fuzzy Logic and Control Systems (18 papers), Advanced Statistical Methods and Models (15 papers), Optimization and Mathematical Programming (15 papers), Rough Sets and Fuzzy Logic (10 papers) and Advanced Algebra and Logic (8 papers). The work is most often cited by research in Statistics and Probability (568 citations), Management Science and Operations Research (681 citations), Statistics, Probability and Uncertainty (330 citations), Control and Systems Engineering (488 citations) and Computational Theory and Mathematics (178 citations). M. Mashinchi has collaborated with scholars based in Iran, Malaysia and Slovakia. Frequent co-authors include Abbas Parchami, Hamid Reza Maleki, Mahbanoo Tata, S. Mahmoud Taheri, Ali Selamat, Mohammad Ali Yaghoobi, Hossein Nezamabadi–pour, Mohammad Bagher Dowlatshahi, M. M. Zahedi and Mehmet A. Orgun. Their work appears in journals such as Information Sciences, Statistical Papers, Fuzzy Sets and Systems, Journal of Mathematical Analysis and Applications and Applied Mathematical Modelling.

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.

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