Abbas Pak

530 total citations
36 papers, 333 citations indexed

About

Abbas Pak is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Abbas Pak has authored 36 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 16 papers in Statistics, Probability and Uncertainty and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Abbas Pak's work include Statistical Distribution Estimation and Applications (25 papers), Probabilistic and Robust Engineering Design (15 papers) and Advanced Statistical Methods and Models (8 papers). Abbas Pak is often cited by papers focused on Statistical Distribution Estimation and Applications (25 papers), Probabilistic and Robust Engineering Design (15 papers) and Advanced Statistical Methods and Models (8 papers). Abbas Pak collaborates with scholars based in Iran, Tanzania and Jordan. Abbas Pak's co-authors include Mohammad Reza Mahmoudi, Mohsen Maleki, Sanku Dey, Arjun K. Gupta, Ali Akbar Jafari, M. E. Ghitany, Mohammad Javad Nematollahi, Amir Mosavi, G. Srinivasa Rao and Manoj Kumar Rastogi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational and Applied Mathematics.

In The Last Decade

Abbas Pak

35 papers receiving 308 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abbas Pak Iran 12 221 136 60 55 34 36 333
Zaizai Yan China 10 263 1.2× 125 0.9× 49 0.8× 52 0.9× 26 0.8× 59 408
Prasanta Basak United States 9 179 0.8× 105 0.8× 66 1.1× 28 0.5× 35 1.0× 21 327
Catherine Huber‐Carol France 5 215 1.0× 117 0.9× 37 0.6× 96 1.7× 17 0.5× 6 354
Mohd. Arshad India 11 176 0.8× 93 0.7× 54 0.9× 58 1.1× 14 0.4× 43 319
Yuzhu Tian China 10 207 0.9× 72 0.5× 95 1.6× 30 0.5× 21 0.6× 46 341
S.K. Upadhyay India 13 338 1.5× 204 1.5× 52 0.9× 89 1.6× 43 1.3× 52 437
Abbas Mahdavi Iran 9 344 1.6× 233 1.7× 62 1.0× 65 1.2× 48 1.4× 24 479
Omid Kharazmi Iran 12 262 1.2× 108 0.8× 71 1.2× 24 0.4× 51 1.5× 58 360
Tsai‐Hung Fan Taiwan 14 346 1.6× 188 1.4× 80 1.3× 153 2.8× 44 1.3× 44 458
Alessandro Barbiero Italy 10 183 0.8× 72 0.5× 63 1.1× 18 0.3× 42 1.2× 46 267

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-authorship network of co-authors of Abbas Pak

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

All Works

20 of 20 papers shown
1.
Nematollahi, Mohammad Javad, et al.. (2025). Predictive modeling of air quality in the Tehran megacity via deep learning techniques. Scientific Reports. 15(1). 1367–1367. 4 indexed citations
2.
Pak, Abbas, et al.. (2025). Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models. Scientific Reports. 15(1). 547–547. 8 indexed citations
3.
Pak, Abbas, et al.. (2024). On Bayesian inference of reliability parameter in Burr-type XII model based on imprecise data: a survey on fuzzy modelling. Statistics in Transition New Series. 25(1). 125–143. 1 indexed citations
4.
Pak, Abbas, et al.. (2019). On Reliability in a Multicomponent Stress-Strength Generalized Rayleigh Model Based on Record Values. Journal of Testing and Evaluation. 48(6). 4588–4607. 3 indexed citations
5.
Mahmoudi, Mohammad Reza, et al.. (2019). On comparing, classifying and clustering several dependent regression models. Journal of Statistical Computation and Simulation. 89(12). 2280–2292. 18 indexed citations
6.
Pak, Abbas, et al.. (2019). Bayesian inference on reliability in a multicomponent stress-strength bathtub-shaped model based on record values. Pakistan Journal of Statistics and Operation Research. 431–444. 5 indexed citations
7.
Pak, Abbas. (2018). An Alternative Proof For the Minimum Fisher Information of Gaussian Distribution. SHILAP Revista de lepidopterología. 14(2). 5–10. 1 indexed citations
8.
Pak, Abbas & Sanku Dey. (2018). Statistical Inference for the power Lindley model based on record values and inter-record times. Journal of Computational and Applied Mathematics. 347. 156–172. 18 indexed citations
9.
Pak, Abbas, Mohammad Reza Mahmoudi, & Manoj Kumar Rastogi. (2018). Classical and Bayesian estimation of Kumaraswamy distribution based on type II hybrid censored data. Electronic journal of applied statistical analysis. 11(1). 235–252. 1 indexed citations
10.
11.
Pak, Abbas. (2017). Statistical inference for the parameter of Lindley distribution based on fuzzy data. Brazilian Journal of Probability and Statistics. 31(3). 12 indexed citations
12.
Pak, Abbas, et al.. (2016). Estimating the Parameter of Exponential Distribution under Type II Censoring From Fuzzy Data. Journal of Modern Applied Statistical Methods. 15(2). 495–509. 4 indexed citations
13.
Mahmoudi, Mohammad Reza, Mohsen Maleki, & Abbas Pak. (2016). Testing the Difference between Two Independent Time Series Models. Iranian Journal of Science and Technology (Sciences). 1 indexed citations
14.
Pak, Abbas & Omid Chatrabgoun. (2016). Inference for exponential parameter under progressive Type-II censoring from imprecise lifetime. Electronic journal of applied statistical analysis. 9(1). 227–245. 2 indexed citations
15.
Pak, Abbas. (2016). Inference for the shape parameter of lognormal distribution in presence of fuzzy data. Pakistan Journal of Statistics and Operation Research. 12(1). 89–89. 3 indexed citations
16.
Pak, Abbas, et al.. (2014). Inference for the Rayleigh Distribution Based on Progressive Type-II Fuzzy Censored Data. Journal of Modern Applied Statistical Methods. 13(1). 287–304. 8 indexed citations
17.
Pak, Abbas, et al.. (2014). Inference on P(Y < X) in Bivariate Rayleigh Distribution. Communication in Statistics- Theory and Methods. 43(22). 4881–4892. 14 indexed citations
18.
Pak, Abbas, et al.. (2013). Inference for the Weibull Distribution Based on Fuzzy Data. SHILAP Revista de lepidopterología. 24 indexed citations
19.
Rezaei, Sadegh, et al.. (2012). A New Two-Parameter Lifetime Distribution with Increasing Failure Rate. Economic Quality Control. 27(1). 1–17. 3 indexed citations
20.
Pak, Abbas, et al.. (2009). Estimation of System Reliability under Bivariate Rayleigh Distribution. Economic Quality Control. 24(1). 2 indexed citations

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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