Omid Kharazmi
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications 41
- Advanced Statistical Methods and Models 17
- Statistical Methods and Bayesian Inference 6
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- Probabilistic and Robust Engineering Design 19
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- Statistical Mechanics and Entropy 21
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- Mathematical Inequalities and Applications 9
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- Bayesian Methods and Mixture Models 7
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- Hydrology and Drought Analysis 6
- Co-authors
- N. BalakrishnanJavier E. Contreras‐ReyesMajid AsadiZubair AhmadNader EbrahimiEhsan S. SoofiAbbas MahdaviMorad Alizadeh
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterología (7 papers)PLoS ONE (2 papers)IEEE Transactions on Information Theory (2 papers)
In The Last Decade
Omid Kharazmi
53 papers receiving 353 citations
Peers
Comparison fields: 5 of 54
- Statistics and Probability 262
- Statistics, Probability and Uncertainty 108
- Statistical and Nonlinear Physics 105
- Management Science and Operations Research 51
- Modeling and Simulation 15
Countries citing papers authored by Omid Kharazmi
This map shows the geographic impact of Omid Kharazmi'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 Omid Kharazmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Kharazmi more than expected).
Fields of papers citing papers by Omid Kharazmi
This network shows the impact of papers produced by Omid Kharazmi. 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 Omid Kharazmi. The network helps show where Omid Kharazmi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Omid Kharazmi, 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 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 6 | |
| 16 | 2017 | 1 | |
| 17 | Hyperbolic Sine-Weibull Distribution And Its Applications | 2017 | 2 |
| 18 | A NEW WEIGHTED EXPONENTIAL DISTRIBUTION AND ITS APPLICATION TO THE COMPLETE AND CENSORED DATA | 2017 | 0 |
| 19 | Generalized Weighted Weibull Distribution | 2016 | 2 |
| 20 | HYPERBOLIC COSINE - F FAMILY OF DISTRIBUTIONS WITH AN APPLICATION TO EXPONENTIAL DISTRIBUTION | 2016 | 10 |
About Omid Kharazmi
Omid Kharazmi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 58 papers that have together received 360 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (41 papers), Statistical Mechanics and Entropy (21 papers), Probabilistic and Robust Engineering Design (19 papers), Advanced Statistical Methods and Models (17 papers), Mathematical Inequalities and Applications (9 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Hydrology and Drought Analysis (6 papers). The work is most often cited by research in Statistics and Probability (262 citations), Statistics, Probability and Uncertainty (108 citations) and Statistical and Nonlinear Physics (105 citations). Omid Kharazmi has collaborated with scholars based in Iran, Canada and Chile. Frequent co-authors include N. Balakrishnan, Javier E. Contreras‐Reyes, Majid Asadi, Zubair Ahmad, Nader Ebrahimi, Ehsan S. Soofi, Abbas Mahdavi, Morad Alizadeh, Eisa Mahmoudi and E. H. Hafez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.
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.