Zahra Almaspoor

662 total citations
34 papers, 421 citations indexed

About

Zahra Almaspoor is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Zahra Almaspoor has authored 34 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 14 papers in Statistics, Probability and Uncertainty and 7 papers in Management Science and Operations Research. Recurrent topics in Zahra Almaspoor's work include Statistical Distribution Estimation and Applications (23 papers), Probabilistic and Robust Engineering Design (13 papers) and COVID-19 epidemiological studies (5 papers). Zahra Almaspoor is often cited by papers focused on Statistical Distribution Estimation and Applications (23 papers), Probabilistic and Robust Engineering Design (13 papers) and COVID-19 epidemiological studies (5 papers). Zahra Almaspoor collaborates with scholars based in Iran, Pakistan and Saudi Arabia. Zahra Almaspoor's co-authors include Zubair Ahmad, Happy Nkanta Monday, Chiagoziem C. Ukwuoma, Qin Zhi-guang, Md Belal Bin Heyat, Liaqat Ali, Mahmoud El-Morshedy, Faridoon Khan, Saima K. Khosa and Ajay Sudhir Bale and has published in prestigious journals such as Complexity, Computational Intelligence and Neuroscience and Mathematical Problems in Engineering.

In The Last Decade

Zahra Almaspoor

32 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zahra Almaspoor Iran 11 152 95 72 49 48 34 421
Amjad Ali Pakistan 11 103 0.7× 53 0.6× 42 0.6× 5 0.1× 21 0.4× 44 382
Mohd. Arshad India 11 176 1.2× 25 0.3× 93 1.3× 5 0.1× 13 0.3× 43 319
Walid Emam Saudi Arabia 12 204 1.3× 6 0.1× 77 1.1× 10 0.2× 12 0.3× 93 480
Matthew A. Taddy United States 9 106 0.7× 9 0.1× 50 0.7× 10 0.2× 4 0.1× 12 399
Fikri Akdeniz Türkiye 15 509 3.3× 17 0.2× 184 2.6× 99 2.0× 2 0.0× 38 733
Wing–Kam Fung Hong Kong 13 358 2.4× 30 0.3× 104 1.4× 26 0.5× 28 482
Wangli Xu China 12 271 1.8× 5 0.1× 26 0.4× 5 0.1× 14 0.3× 69 473
Ana M. Bianco Argentina 10 211 1.4× 10 0.1× 89 1.2× 9 0.2× 2 0.0× 32 440
Li‐Pang Chen Taiwan 10 161 1.1× 4 0.0× 18 0.3× 10 0.2× 19 0.4× 65 372
J. Miguel Marín Spain 11 186 1.2× 15 0.2× 31 0.4× 9 0.2× 1 0.0× 27 410

Countries citing papers authored by Zahra Almaspoor

Since Specialization
Citations

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

Fields of papers citing papers by Zahra Almaspoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahra Almaspoor

This figure shows the co-authorship network connecting the top 25 collaborators of Zahra Almaspoor. A scholar is included among the top collaborators of Zahra Almaspoor 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 Zahra Almaspoor. Zahra Almaspoor 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.
Zare, Karim, et al.. (2024). A New Sine-Based Probabilistic Approach: Theory and Monte Carlo Simulation with Reliability Application. Journal of Mathematics. 2024. 1–19. 6 indexed citations
2.
Khan, Sajjad Ahmad, et al.. (2023). Bayesian Estimation of a Geometric Life Testing Model under Different Loss Functions Using a Doubly Type‐1Censoring Scheme. Mathematical Problems in Engineering. 2023(1). 2 indexed citations
3.
Bale, Ajay Sudhir, et al.. (2022). A Comprehensive Study on Metaverse and Its Impacts on Humans. Advances in Human-Computer Interaction. 2022. 1–11. 66 indexed citations
4.
Ali, Amjad, Dost Muhammad Khan, Zardad Khan, et al.. (2022). A New Member of T‐X Family with Applications in Different Sectors. Journal of Mathematics. 2022(1). 9 indexed citations
5.
Almaspoor, Zahra, Ali Akbar Jafari, & Saeid Tahmasebi. (2022). Measures of Extropy for Concomitants of Generalized Order Statistics in Morgenstern Family. Journal of Statistical Theory and Applications. 21(1). 1–20. 10 indexed citations
6.
Ahmad, Zubair, Zahra Almaspoor, Faridoon Khan, et al.. (2022). On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms. AIMS Mathematics. 7(10). 18031–18049. 13 indexed citations
7.
Ali, Muhammad, et al.. (2022). Alpha Power Generalized Inverse Rayleigh Distribution: Its Properties and Applications. Mathematical Problems in Engineering. 2022. 1–18.
8.
El-Morshedy, Mahmoud, Zahra Almaspoor, Nasir Abbas, & Zahid Khan. (2022). A Novel Generalized-M Family: Heavy-Tailed Characteristics with Applications in the Engineering Sector. Mathematical Problems in Engineering. 2022. 1–12. 2 indexed citations
9.
Ukwuoma, Chiagoziem C., Qin Zhi-guang, Md Belal Bin Heyat, et al.. (2022). Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques. Mathematical Problems in Engineering. 2022. 1–29. 113 indexed citations
10.
Khan, Faridoon, et al.. (2022). Evaluating the Performance of Feature Selection Methods Using Huge Big Data: A Monte Carlo Simulation Approach. Mathematical Problems in Engineering. 2022. 1–10. 11 indexed citations
11.
Bantan, Rashad A. R., Zubair Ahmad, Faridoon Khan, et al.. (2022). Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine learning techniques. Mathematical Biosciences & Engineering. 20(2). 2847–2873. 13 indexed citations
12.
El‐Raouf, M. M. Abd, et al.. (2021). Decision‐Making for the Lifetime Performance Index. Computational Intelligence and Neuroscience. 2021(1). 3005067–3005067. 1 indexed citations
13.
Jafari, Ali Akbar, Zahra Almaspoor, & Saeid Tahmasebi. (2021). General results on bivariate extended Weibull Morgenstern family and concomitants of its generalized order statistics. Ricerche di Matematica. 73(3). 1471–1492. 8 indexed citations
14.
Zhao, Jin, Zubair Ahmad, & Zahra Almaspoor. (2021). Modeling the COVID-19 Pandemic Dynamics in Iran and China. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 2111–2122. 11 indexed citations
15.
Lin, Yu‐Shan, et al.. (2021). Impact of Facebook and Newspaper Advertising on Sales: A Comparative Study of Online and Print Media. Computational Intelligence and Neuroscience. 2021(1). 5995008–5995008. 16 indexed citations
16.
Alamri, Osama Abdulaziz, et al.. (2021). Estimate Stress‐Strength Reliability Model Using Rayleigh and Half‐Normal Distribution. Computational Intelligence and Neuroscience. 2021(1). 7653581–7653581. 7 indexed citations
17.
Ahmad, Zubair, et al.. (2021). On the Genesis of the Marshall-Olkin Family of Distributions via the T-X Family Approach: Statistical Modeling. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 753–760. 1 indexed citations
18.
Almaspoor, Zahra, et al.. (2020). A New Logarithmic Family of Distributions: Properties and Applications. Computers, materials & continua/Computers, materials & continua (Print). 66(1). 919–929. 4 indexed citations
19.
Khosa, Saima K., et al.. (2020). A New Lifetime Exponential-X Family of Distributions with Applications to Reliability Data. Mathematical Problems in Engineering. 2020. 1–16. 12 indexed citations
20.
Tahmasebi, Saeid, et al.. (2017). Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling. Revista Catalana de Dret Públic. 13(1). 1–1. 3 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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