Abbas Pak

530 citations
36 papers · 333 · h-index 12

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 25
    • Advanced Statistical Methods and Models 8
    • Fuzzy Systems and Optimization 7
    • Statistical Methods and Bayesian Inference 3
    • Probabilistic and Robust Engineering Design 15
    • Advanced Statistical Process Monitoring 2

Abbas Pak

35 papers receiving 308 citations

Peers

Abbas Pak
Comparison fields: 5 of 60
  • Statistics and Probability 221
  • Statistics, Probability and Uncertainty 136
  • Safety, Risk, Reliability and Quality 55
  • Management Science and Operations Research 34
  • Modeling and Simulation 12
Replace Zaizai Yan with:
Zaizai Yan China
Mohd. Arshad India
A. H. El-Bassiouny Egypt
Omid Kharazmi Iran
P. Jodrá Spain
Aisha Fayomi Saudi Arabia
Yuzhu Tian China
Fatemah Alqallaf Kuwait
Abdelfattah Mustafa Egypt
Abbas Mahdavi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Abbas Pak

Since Specialization
Citations

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

Fields of papers citing papers by Abbas Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Abbas Pak, 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 Abbas Pak Line = papers co-authored together Abbas Pak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201734
2 201731
3 201326
4
Inference for the Weibull Distribution Based on Fuzzy Data
201324
5 201424
6 201918
7 201818
8 201817
9 201414
10 202314
11 201712
12 202112
13 201811
14 20148
15 20258
16 20198
17 20166
18 20195
19 20205
20 20175

About Abbas Pak

Abbas Pak is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Artificial Intelligence and Civil and Structural Engineering, having authored 36 papers that have together received 333 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (25 papers), Probabilistic and Robust Engineering Design (15 papers), Advanced Statistical Methods and Models (8 papers), Reliability and Maintenance Optimization (7 papers), Fuzzy Systems and Optimization (7 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Statistical Process Monitoring (2 papers) and Fatigue and fracture mechanics (2 papers). The work is most often cited by research in Statistics and Probability (221 citations), Statistics, Probability and Uncertainty (136 citations), Safety, Risk, Reliability and Quality (55 citations), Management Science and Operations Research (34 citations) and Modeling and Simulation (12 citations). Abbas Pak has collaborated with scholars based in Iran, Taiwan and Hungary. Frequent co-authors include Mohammad Reza Mahmoudi, Mohsen Maleki, Sanku Dey, Arjun K. Gupta, Ali Akbar Jafari, Mohammad Javad Nematollahi, M. E. Ghitany, Ali Mohammad Ahadi, Mustafa Ghanadian and G. Srinivasa Rao. Their work appears in journals such as Scientific Reports, Alexandria Engineering Journal, Journal of Plant Growth Regulation, Journal of Computational and Applied Mathematics and Journal of Testing and Evaluation.

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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