Rasool Tahmasbi

15 papers receiving 616 citations

Peers

Rasool Tahmasbi
Comparison fields: 5 of 102
  • Statistics and Probability 368
  • Statistics, Probability and Uncertainty 271
  • Genetics 138
  • Safety, Risk, Reliability and Quality 89
  • Global and Planetary Change 87
Replace Tae Young Yang with:
Tae Young Yang South Korea
Todd C. Headrick United States
Yijun Zuo United States
Chien‐Pai Han United States
Max G’Sell United States
Daniel A. Henderson United Kingdom
Gaorong Li China
Jingjing Wu Canada
K. D. S. Young United Kingdom
Diane E. Duffy United States
Rasool Tahmasbi relative to Tae Young Yang South Korea Tae Young Yang's profile →
Citations per field
00.5×7.9×
Tae Young Yang · 1×
Citations per year

Countries citing papers authored by Rasool Tahmasbi

Since Specialization
Citations

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

Fields of papers citing papers by Rasool Tahmasbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasool Tahmasbi

This figure shows the co-authorship network connecting the top 25 collaborators of Rasool Tahmasbi. A scholar is included among the top collaborators of Rasool Tahmasbi 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 Rasool Tahmasbi. Rasool Tahmasbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 10
2 1
3 17
4 136
5
DETERMINING OPTIMAL INPUT AND SIZE OF POULTRY FARMS IN KERMAN CITY
1
6 10
7 27
8 4
9
A New Lifetime Distribution with Increasing Failure Rate: Exponential Truncated Poisson
10
10 245
11 124
12 24
13 24
14 8
15 20

About Rasool Tahmasbi

Rasool Tahmasbi is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 661 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Statistics and Probability (368 citations), Statistics, Probability and Uncertainty (271 citations) and Safety, Risk, Reliability and Quality (89 citations). Rasool Tahmasbi has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include Hassan S. Bakouch, Saralees Nadarajah, Sadegh Rezaei, Matthew C. Keller, S. Mehdi Hashemi, Gonçalo R. Abecasis, Michael E. Goddard, Sayantan Das, Douglas W. Bjelland and Scott Vrieze. Their work appears in journals such as Nature Genetics, Bioinformatics and IEEE Transactions on Intelligent Transportation Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026