Mahdi Teimouri
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 2%
- Global and Planetary Change
- Artificial Intelligence
- Environmental Engineering
- Co-authors
- Saralees NadarajahArjun K. GuptaAdel MohammadpourAndrew O. FinleyJeffrey W. DoserRafał PodlaskiEric K. ZennerMehdi Hosseini
- Topics
- Statistical Distribution Estimation and Applications (24 papers)Probabilistic and Robust Engineering Design (11 papers)Statistical Methods and Bayesian Inference (8 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Modelling & SoftwareCanadian Journal of Forest Research
- Partner nations
- IranUnited KingdomUnited States
In The Last Decade
Mahdi Teimouri
37 papers receiving 316 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 215
- Statistics, Probability and Uncertainty 134
- Global and Planetary Change 62
- Artificial Intelligence 45
- Environmental Engineering 43
Countries citing papers authored by Mahdi Teimouri
This map shows the geographic impact of Mahdi Teimouri'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 Mahdi Teimouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Teimouri more than expected).
Fields of papers citing papers by Mahdi Teimouri
This network shows the impact of papers produced by Mahdi Teimouri. 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 Mahdi Teimouri. The network helps show where Mahdi Teimouri may publish in the future.
Co-authorship network of co-authors of Mahdi Teimouri
This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Teimouri. A scholar is included among the top collaborators of Mahdi Teimouri 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 Mahdi Teimouri. Mahdi Teimouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 100 | |
| 20 | 0 |
About Mahdi Teimouri
Mahdi Teimouri is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 40 papers that have together received 326 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (24 papers), Probabilistic and Robust Engineering Design (11 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (215 citations), Statistics, Probability and Uncertainty (134 citations) and Safety, Risk, Reliability and Quality (28 citations). Mahdi Teimouri has collaborated with scholars based in Iran, United Kingdom and United States. Frequent co-authors include Saralees Nadarajah, Arjun K. Gupta, Adel Mohammadpour, Andrew O. Finley, Jeffrey W. Doser, Rafał Podlaski, Eric K. Zenner, Mehdi Hosseini, Hamidreza Amindavar and Seyed Mehdi Hoseini. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and Canadian Journal of Forest Research.
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.