Mohammad Amini

669 citations
96 papers · 418 · h-index 11

Impact in

Papers in

Mohammad Amini

80 papers receiving 389 citations

Peers

Mohammad Amini
Comparison fields: 5 of 62
  • Statistics and Probability 263
  • Management Science and Operations Research 223
  • Statistics, Probability and Uncertainty 74
  • Finance 96
  • Mathematical Physics 43
Replace Anna Dembińska with:
Anna Dembińska Poland
José Juan Quesada-Molina Spain
Wen‐Jang Huang Taiwan
Mihael Perman Slovenia
Denis Belomestny Germany
Isha Dewan India
Mohammad Hossein Alamatsaz Iran
Éric Marchand Canada
Andrzej Okolewski Poland
P. Jodrá Spain
Mohammad Amini relative to Anna Dembińska Poland Anna Dembińska's profile →
Citations per field
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Anna Dembińska · 1×
Citations per year

Countries citing papers authored by Mohammad Amini

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Amini, 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 Mohammad Amini Line = papers co-authored together Mohammad Amini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200935
2 202022
3 201422
4 202220
5 201120
6 200414
7 200714
8 202213
9 202212
10 202411
11 201111
12 201310
13 201510
14 201110
15 20218
16 20238
17
Strong Laws for Weighted Sums of Negative Dependent Random Variables
20057
18 20177
19 20007
20 20187

About Mohammad Amini

Mohammad Amini is a scholar working on Statistics and Probability, Management Science and Operations Research, Finance, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 96 papers that have together received 418 indexed citations. Recurring topics across this work include Probability and Risk Models (42 papers), Statistical Distribution Estimation and Applications (37 papers), Financial Risk and Volatility Modeling (24 papers), Probabilistic and Robust Engineering Design (12 papers), Fuzzy Systems and Optimization (11 papers), Multi-Criteria Decision Making (9 papers), Stochastic processes and financial applications (8 papers) and Stochastic processes and statistical mechanics (8 papers). The work is most often cited by research in Statistics and Probability (263 citations), Management Science and Operations Research (223 citations), Statistics, Probability and Uncertainty (74 citations), Finance (96 citations) and Mathematical Physics (43 citations). Mohammad Amini has collaborated with scholars based in Iran, Canada and Poland. Frequent co-authors include A. Bozorgnia, Gholam Reza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh, Przemysław Matuła, Debasis Kundu, S. Izadkhah, Vikas Verma, Shiva Nejati, Sarath Chandar and Reza Zarei. Their work appears in journals such as Soft Computing, Kybernetika, Journal of Computational and Applied Mathematics, Journal of Statistical Computation and Simulation and Quality Engineering.

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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