Ashkan Ertefaie

1.1k total citations
46 papers, 631 citations indexed

About

Ashkan Ertefaie is a scholar working on Statistics and Probability, Economics and Econometrics and Surgery. According to data from OpenAlex, Ashkan Ertefaie has authored 46 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 10 papers in Economics and Econometrics and 5 papers in Surgery. Recurrent topics in Ashkan Ertefaie's work include Advanced Causal Inference Techniques (29 papers), Statistical Methods and Inference (14 papers) and Statistical Methods and Bayesian Inference (13 papers). Ashkan Ertefaie is often cited by papers focused on Advanced Causal Inference Techniques (29 papers), Statistical Methods and Inference (14 papers) and Statistical Methods and Bayesian Inference (13 papers). Ashkan Ertefaie collaborates with scholars based in United States, Canada and United Kingdom. Ashkan Ertefaie's co-authors include Susan M. Shortreed, Dylan S. Small, David A. Stephens, James Flory, Sean Hennessy, Robert L. Strawderman, Inbal Nahum‐Shani, James R. McKay, Kevin G. Lynch and Tianshuang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and American Journal of Epidemiology.

In The Last Decade

Ashkan Ertefaie

38 papers receiving 617 citations

Peers

Ashkan Ertefaie

SURGE

Srabashi Basu United States

Lang’o Odondi United Kingdom

Matteo Quartagno United Kingdom

Sandra E. Sinisi United States

Baoluo Sun United States

Lueping Zhao United States

Chaohui Guo China

Danielle Whicher United States

Michael L. Pennell United States

Srabashi Basu United States

Ashkan Ertefaie

212 ×0.7

38 ×0.4

77 ×1.1

SURGE

70 ×1.2

24 ×0.5

Citations per year, relative to Ashkan Ertefaie Ashkan Ertefaie (= 1×) peers Srabashi Basu

Countries citing papers authored by Ashkan Ertefaie

Since Specialization

Citations

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

Fields of papers citing papers by Ashkan Ertefaie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Ertefaie

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

All Works

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20 of 20 papers shown

Schneider, Ruth B., et al.. (2025). Constructing a Personalized Treatment Rule for Initial Therapy in Early Parkinson's Disease. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 46(1). e70069–e70069.

Ertefaie, Ashkan, et al.. (2025). Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes. Biometrics. 81(1). 1 indexed citations

Pisani, Anthony R., Peter A. Wyman, Ian Cero, et al.. (2024). Text Messaging to Extend School-Based Suicide Prevention: Pilot Randomized Controlled Trial. JMIR Mental Health. 11. e56407–e56407.

Ertefaie, Ashkan, et al.. (2024). A marginal structural model for partial compliance in SMARTs. The Annals of Applied Statistics. 18(2). 905–921.

Ye, Ting, et al.. (2024). Structural mean models for instrumented difference-in-differences. Electronic Journal of Statistics. 18(2).

Pisani, Anthony R., K. A. Connor, Kimberly A. Van Orden, et al.. (2023). Effectiveness of a targeted brief intervention for recent suicide attempt survivors: a randomised controlled trial protocol. BMJ Open. 13(3). e070105–e070105.

Fiscella, Kevin, et al.. (2023). Persistent challenges in adjusting for race in analyses and a path forward. Journal of Hospital Medicine. 19(3). 239–242. 1 indexed citations

Johnson, Brent A., et al.. (2023). A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making. Statistics in Medicine. 42(15). 2661–2691. 2 indexed citations

Thurston, Sally W., et al.. (2023). Relative sparsity for medical decision problems. Statistics in Medicine. 42(18). 3067–3092. 2 indexed citations

10.

Ye, Ting, Ashkan Ertefaie, James Flory, Sean Hennessy, & Dylan S. Small. (2022). Instrumented Difference-in-Differences. Biometrics. 79(2). 569–581. 7 indexed citations

11.

Jones, Jeremiah, et al.. (2021). Using Clinical History Factors to Identify Bacterial Infections in Young Febrile Infants. The Journal of Pediatrics. 232. 192–199.e2. 6 indexed citations

12.

Ertefaie, Ashkan, et al.. (2019). Creation and Piloting of a Model for Simulating a Minimally Invasive Myomectomy. Cureus. 11(3). e4223–e4223. 10 indexed citations

13.

Campbell, Timothy, Rachel Melnyk, Erin L. Coppola, et al.. (2019). V08-06 VALIDATION OF A FULL-IMMERSION SIMULATION PLATFORM WITH PERFORMANCE METRICS FOR ROBOTIC RADICAL PROSTATECTOMY (RARP) USING THREE-DIMENSIONAL PRINTING AND HYDROGEL MOLDING TECHNOLOGY. The Journal of Urology. 201(Supplement 4). 3 indexed citations

14.

Kaufman, Elinore J., et al.. (2018). Comparative Effectiveness of Initial Treatment at Trauma Center vs Neurosurgery-Capable Non-Trauma Center for Severe, Isolated Head Injury. Journal of the American College of Surgeons. 226(5). 741–751e2. 13 indexed citations

15.

Ertefaie, Ashkan, Masoud Asgharian, & David A. Stephens. (2018). Variable Selection in Causal Inference using a Simultaneous Penalization Method. SHILAP Revista de lepidopterología. 28 indexed citations

16.

Ertefaie, Ashkan, Dylan S. Small, James Flory, & Sean Hennessy. (2016). Selection Bias When Using Instrumental Variable Methods to Compare Two Treatments But More Than Two Treatments Are Available. The International Journal of Biostatistics. 12(1). 219–232. 16 indexed citations

17.

Ertefaie, Ashkan, Susan M. Shortreed, & Bibhas Chakraborty. (2016). Q‐learning residual analysis: application to the effectiveness of sequences of antipsychotic medications for patients with schizophrenia. Statistics in Medicine. 35(13). 2221–2234. 18 indexed citations

18.

Ertefaie, Ashkan, et al.. (2013). Bayesian analysis of software reliability models with reference prior. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Ertefaie, Ashkan & David A. Stephens. (2010). Comparing Approaches to Causal Inference for Longitudinal Data: Inverse Probability Weighting versus Propensity Scores. The International Journal of Biostatistics. 6(2). Article 14–Article 14. 26 indexed citations

20.

Ertefaie, Ashkan & Ahmad Parsian. (2005). Bayesian Estimation for the Pareto Income Distribution under Asymmetric LINEX Loss Function. 4(2). 113–133. 5 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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