Ghobad Barmalzan
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications 47
- Statistical Methods and Bayesian Inference 11
- Advanced Statistical Methods and Models 5
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- Probabilistic and Robust Engineering Design 24
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- Probability and Risk Models 17
- Finance top 10%
- Financial Risk and Volatility Modeling 11
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- Reliability and Maintenance Optimization 10
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- Software Reliability and Analysis Research 3
- Co-authors
- N. BalakrishnanAmir T. Payandeh NajafabadiYiying ZhangNil Kamal HazraMahdi DoostparastMahnaz ShekariReza Hashemi
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterología (2 papers)Journal of Computational and Applied Mathematics (1 paper)Journal of Applied Probability (4 papers)
- Partner nations
- IranCanadaSaudi Arabia
In The Last Decade
Ghobad Barmalzan
45 papers receiving 288 citations
Peers
Comparison fields: 5 of 35
- Statistics and Probability 262
- Statistics, Probability and Uncertainty 141
- Management Science and Operations Research 118
- Finance 85
- Safety, Risk, Reliability and Quality 61
Countries citing papers authored by Ghobad Barmalzan
This map shows the geographic impact of Ghobad Barmalzan'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 Ghobad Barmalzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghobad Barmalzan more than expected).
Fields of papers citing papers by Ghobad Barmalzan
This network shows the impact of papers produced by Ghobad Barmalzan. 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 Ghobad Barmalzan. The network helps show where Ghobad Barmalzan may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Ghobad Barmalzan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 0 | |
| 14 | 2017 | 5 | |
| 15 | 2015 | 14 | |
| 16 | 2015 | 16 | |
| 17 | 2015 | 19 | |
| 18 | 2014 | 10 | |
| 19 | 2014 | 11 | |
| 20 | Two Sided Uniformly Most Powerful Test for Pitman Family | 2011 | 2 |
About Ghobad Barmalzan
Ghobad Barmalzan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 52 papers that have together received 297 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (47 papers), Probabilistic and Robust Engineering Design (24 papers), Probability and Risk Models (17 papers), Statistical Methods and Bayesian Inference (11 papers), Financial Risk and Volatility Modeling (11 papers), Reliability and Maintenance Optimization (10 papers), Advanced Statistical Methods and Models (5 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Statistics and Probability (262 citations), Statistics, Probability and Uncertainty (141 citations) and Management Science and Operations Research (118 citations). Ghobad Barmalzan has collaborated with scholars based in Iran, Canada and Saudi Arabia. Frequent co-authors include N. Balakrishnan, Amir T. Payandeh Najafabadi, Yiying Zhang, Nil Kamal Hazra, Mahdi Doostparast, Mahnaz Shekari and Reza Hashemi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational and Applied Mathematics and Journal of Applied Probability.
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.