Nader Ebrahimi

1.7k total citations
93 papers, 1.2k citations indexed

About

Nader Ebrahimi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Nader Ebrahimi has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistics and Probability, 20 papers in Statistics, Probability and Uncertainty and 18 papers in Management Science and Operations Research. Recurrent topics in Nader Ebrahimi's work include Statistical Distribution Estimation and Applications (65 papers), Statistical Methods and Inference (25 papers) and Probabilistic and Robust Engineering Design (17 papers). Nader Ebrahimi is often cited by papers focused on Statistical Distribution Estimation and Applications (65 papers), Statistical Methods and Inference (25 papers) and Probabilistic and Robust Engineering Design (17 papers). Nader Ebrahimi collaborates with scholars based in United States, Iran and Türkiye. Nader Ebrahimi's co-authors include Ehsan S. Soofi, Asit P. Basu, Mohamed Habibullah, Majid Asadi, S. N. U. A. Kirmani, Karthik Devarajan, Refik Soyer, Malay Ghosh, Daniel Frobish and Bengt Klefsjö and has published in prestigious journals such as Biometrics, European Journal of Operational Research and Biometrika.

In The Last Decade

Nader Ebrahimi

88 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nader Ebrahimi United States 18 916 467 230 219 159 93 1.2k
S. N. U. A. Kirmani United States 16 694 0.8× 356 0.8× 178 0.8× 213 1.0× 88 0.6× 55 1.1k
Majid Asadi Iran 23 1.5k 1.6× 936 2.0× 889 3.9× 248 1.1× 293 1.8× 119 1.9k
K. Zografos Greece 17 843 0.9× 370 0.8× 59 0.3× 113 0.5× 154 1.0× 54 1.1k
Fabio Spizzichino Italy 19 747 0.8× 345 0.7× 308 1.3× 407 1.9× 24 0.2× 81 1.1k
D. N. Shanbhag United Kingdom 19 730 0.8× 176 0.4× 95 0.4× 380 1.7× 37 0.2× 91 1.2k
Mark Brown United States 18 763 0.8× 236 0.5× 595 2.6× 348 1.6× 26 0.2× 58 1.3k
Erwin Straub Switzerland 3 532 0.6× 326 0.7× 426 1.9× 298 1.4× 14 0.1× 5 1.0k
Jayaram Sethuraman United States 16 583 0.6× 342 0.7× 446 1.9× 226 1.0× 24 0.2× 54 1.1k
Henry W. Block United States 23 1.7k 1.8× 626 1.3× 894 3.9× 751 3.4× 26 0.2× 66 2.3k
Sangun Park South Korea 15 507 0.6× 282 0.6× 59 0.3× 59 0.3× 83 0.5× 60 730

Countries citing papers authored by Nader Ebrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Nader Ebrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nader Ebrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Nader Ebrahimi. A scholar is included among the top collaborators of Nader Ebrahimi 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 Nader Ebrahimi. Nader Ebrahimi 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.
Huang, Jie, et al.. (2022). Bayesian Bivariate Cure Rate Models Using Copula Functions. International Journal of Statistics and Probability. 11(3). 9–9. 1 indexed citations
2.
Asadi, Majid, et al.. (2021). Variants of Mixtures: Information Properties and Applications. 20(1). 27–59. 6 indexed citations
3.
Devarajan, Karthik, Nader Ebrahimi, & Ehsan S. Soofi. (2015). A hybrid algorithm for non-negative matrix factorization based on symmetric information divergence. PubMed. 2015. 1658–1664. 4 indexed citations
4.
Devarajan, Karthik, Guoli Wang, & Nader Ebrahimi. (2014). A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. Machine Learning. 99(1). 137–163. 13 indexed citations
5.
Ebrahimi, Nader, et al.. (2014). Comparison, utility, and partition of dependence under absolutely continuous and singular distributions. Journal of Multivariate Analysis. 131. 32–50. 12 indexed citations
6.
Ebrahimi, Nader, G. G. Hamedani, Ehsan S. Soofi, & Hans Volkmer. (2010). A class of models for uncorrelated random variables. Journal of Multivariate Analysis. 101(8). 1859–1871. 13 indexed citations
7.
Devarajan, Karthik & Nader Ebrahimi. (2010). A semi-parametric generalization of the Cox proportional hazards regression model: Inference and applications. Computational Statistics & Data Analysis. 55(1). 667–676. 24 indexed citations
8.
Ebrahimi, Nader, Ehsan S. Soofi, & Refik Soyer. (2007). Multivariate maximum entropy identification, transformation, and dependence. Journal of Multivariate Analysis. 99(6). 1217–1231. 29 indexed citations
9.
Ebrahimi, Nader, S. N. U. A. Kirmani, & Ehsan S. Soofi. (2005). Multivariate dynamic information. Journal of Multivariate Analysis. 98(2). 328–349. 27 indexed citations
10.
Ebrahimi, Nader, et al.. (2003). Survival function estimation when lifetime and censoring time are dependent. Journal of Multivariate Analysis. 87(1). 101–132. 1 indexed citations
11.
Ebrahimi, Nader. (2002). On the Dependence Structure of Certain Multi-dimensional Ito Processes and Corresponding Hitting Times. Journal of Multivariate Analysis. 81(1). 128–137. 5 indexed citations
12.
Ebrahimi, Nader & S. N. U. A. Kirmani. (1996). A measure of discrimination between two residual life-time distributions and its applications. Annals of the Institute of Statistical Mathematics. 48(2). 257–265. 57 indexed citations
13.
Ebrahimi, Nader. (1994). On the Dependence of Structure of Multivariate Processes and Corresponding Hitting Times. Journal of Multivariate Analysis. 50(1). 55–67. 3 indexed citations
14.
Ebrahimi, Nader & Hassan Zahedi. (1992). Memory Ordering of Survival Functions. Statistics. 23(4). 337–345. 4 indexed citations
15.
Ebrahimi, Nader. (1988). On the identifiability of multivariate survival distribution functions. Journal of Multivariate Analysis. 25(2). 164–173. 3 indexed citations
16.
Ebrahimi, Nader & Balakrishna Hosmane. (1987). On shrinkage estimation of the exponential location parameter. Communication in Statistics- Theory and Methods. 16(9). 2623–2637. 10 indexed citations
17.
Ebrahimi, Nader. (1985). Estimating from Censored Samples the Location of an Exponential Distribution with Known Coefficient of Variation. Calcutta Statistical Association Bulletin. 34(3-4). 169–178. 5 indexed citations
18.
Basu, Asit P., Nader Ebrahimi, & Bengt Klefsjö. (1983). Multivariate harmonic new better than used in expectation distributions. Scandinavian Journal of Statistics. 10(1). 19–25. 18 indexed citations
19.
Ghosh, Malay & Nader Ebrahimi. (1982). Shock models leading to increasing failure rate and decreasing mean residual life survival. Journal of Applied Probability. 19(1). 158–166. 6 indexed citations
20.
Ebrahimi, Nader & Malay Ghosh. (1981). Multivariate NBU and NBUE Distributions. 25(2). 36–55. 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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