Shakeeb Khan

2.0k total citations
50 papers, 1.2k citations indexed

About

Shakeeb Khan is a scholar working on Statistics and Probability, Economics and Econometrics and Surgery. According to data from OpenAlex, Shakeeb Khan has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 12 papers in Economics and Econometrics and 7 papers in Surgery. Recurrent topics in Shakeeb Khan's work include Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Causal Inference Techniques (12 papers). Shakeeb Khan is often cited by papers focused on Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Causal Inference Techniques (12 papers). Shakeeb Khan collaborates with scholars based in United States, United Kingdom and Hong Kong. Shakeeb Khan's co-authors include Elie Tamer, Songnian Chen, James L. Powell, Christopher Timmins, Shanti Gamper‐Rabindran, John MacFie, Bo E. Honoré, Reza Arsalani‐Zadeh, Sana Ullah and Jason Abrevaya and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Econometrics.

In The Last Decade

Shakeeb Khan

50 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
Shakeeb Khan United States 20 527 392 155 116 101 50 1.2k
Marc Ratkovic United States 7 549 1.0× 298 0.8× 31 0.2× 26 0.2× 30 0.3× 11 1.2k
S. T. Boris Choy Australia 19 289 0.5× 138 0.4× 72 0.5× 41 0.4× 7 0.1× 55 1.1k
Zhengjun Zhang United States 21 197 0.4× 640 1.6× 80 0.5× 82 0.7× 18 0.2× 108 1.6k
Richard McHugh United States 17 114 0.2× 231 0.6× 69 0.4× 65 0.6× 14 0.1× 50 862
Michael Parzen United States 18 537 1.0× 104 0.3× 40 0.3× 10 0.1× 25 0.2× 36 1.0k
Marjorie A. Rosenberg United States 16 92 0.2× 282 0.7× 44 0.3× 10 0.1× 27 0.3× 51 1.0k
Richard K. Crump United States 18 462 0.9× 768 2.0× 6 0.0× 342 2.9× 16 0.2× 57 1.5k
Oscar A. Mitnik United States 12 477 0.9× 448 1.1× 6 0.0× 35 0.3× 16 0.2× 29 1.1k
Fabrizia Mealli Italy 22 771 1.5× 421 1.1× 7 0.0× 21 0.2× 5 0.0× 82 1.4k
José M. Pavía Spain 17 92 0.2× 135 0.3× 32 0.2× 11 0.1× 18 0.2× 143 1.2k

Countries citing papers authored by Shakeeb Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shakeeb Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shakeeb Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shakeeb Khan. A scholar is included among the top collaborators of Shakeeb Khan 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 Shakeeb Khan. Shakeeb Khan 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.
Khan, Saif Ur Rehman, et al.. (2024). Evolving knowledge representation learning with the dynamic asymmetric embedding model. Evolving Systems. 15(6). 2323–2338. 2 indexed citations
2.
Khan, Shakeeb, et al.. (2021). Informational Content of Factor Structures in Simultaneous Binary Response Models. SSRN Electronic Journal. 1 indexed citations
3.
Angelico, Roberta, Shakeeb Khan, B. Dasari, et al.. (2017). Is routine hepaticojejunostomy at the time of unplanned surgical bypass required in the era of self-expanding metal stents?. HPB. 19(4). 365–370. 1 indexed citations
4.
Khan, Shakeeb, et al.. (2016). Identification of panel data models with endogenous censoring. Journal of Econometrics. 194(1). 57–75. 11 indexed citations
5.
Dasari, B., Shakeeb Khan, Davinia Bennett, et al.. (2015). Safety and feasibility of an enhanced recovery pathway after a liver resection: prospective cohort study. HPB. 17(8). 700–706. 28 indexed citations
6.
Arsalani‐Zadeh, Reza, Sana Ullah, Shakeeb Khan, & John MacFie. (2011). Oxidative Stress in Laparoscopic Versus Open Abdominal Surgery: A Systematic Review. Journal of Surgical Research. 169(1). e59–e68. 61 indexed citations
7.
Khan, Shakeeb, Jamil Ahmed, Michael Lim, et al.. (2010). Colonoscopy in the octogenarian population: Diagnostic and survival outcomes from a large series of patients. The Surgeon. 9(4). 195–199. 5 indexed citations
8.
Ahmed, Jamil, et al.. (2010). Predictors of length of stay in patients having elective colorectal surgery within an enhanced recovery protocol. International Journal of Surgery. 8(8). 628–632. 55 indexed citations
9.
Arsalani‐Zadeh, Reza, Sana Ullah, Shakeeb Khan, & John MacFie. (2010). Current pattern of perioperative practice in elective colorectal surgery; a questionnaire survey of ACPGBI members. International Journal of Surgery. 8(4). 294–298. 20 indexed citations
10.
Khan, Shakeeb & Elie Tamer. (2009). Inference on endogenously censored regression models using conditional moment inequalities. Journal of Econometrics. 152(2). 104–119. 70 indexed citations
11.
Bayer, Patrick, Shakeeb Khan, & Christopher Timmins. (2008). Nonparametric Identification and Estimation in a Generalized Roy Model. SSRN Electronic Journal. 1 indexed citations
12.
Khan, Shakeeb, et al.. (2008). Munchausen's syndrome presenting as rectal foreign body insertion: a case report. Cases Journal. 1(1). 243–243. 12 indexed citations
13.
Khan, Shakeeb, et al.. (2008). Analysis of bedside entertainment services’ effect on post cardiac surgery physical activity: a prospective, randomised clinical trial. European Journal of Cardio-Thoracic Surgery. 34(5). 1022–1026. 17 indexed citations
14.
Khan, Shakeeb, et al.. (2008). Intestinal Obstruction After PEG Tube Replacement: Implications to Daily Clinical Practice. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 18(1). 80–81. 10 indexed citations
15.
Chen, Songnian, Gordon B. Dahl, & Shakeeb Khan. (2005). Estimation of a Nonparametric Censored Regression Model with an Application to Unemployment Insurance Spells. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
16.
Chen, Songnian, Gordon B. Dahl, & Shakeeb Khan. (2005). Nonparametric Identification and Estimation of a Censored Location-Scale Regression Model. Journal of the American Statistical Association. 100(469). 212–221. 35 indexed citations
17.
Chen, Songnian & Shakeeb Khan. (2003). SEMIPARAMETRIC ESTIMATION OF A HETEROSKEDASTIC SAMPLE SELECTION MODEL. Econometric Theory. 19(6). 28 indexed citations
18.
Honoré, Bo E., Shakeeb Khan, & James L. Powell. (2002). Quantile regression under random censoring. Journal of Econometrics. 109(1). 67–105. 75 indexed citations
19.
Chen, Songnian & Shakeeb Khan. (2000). Estimating censored regression models in the presence of nonparametric multiplicative heteroskedasticity. Journal of Econometrics. 98(2). 283–316. 28 indexed citations
20.
Khan, Shakeeb. (1989). The state and village society : the political economy of agricultural development in Bangladesh. University Press eBooks. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Marc Ratkovic Breakdown of academic impact, for papers by S. T. Boris Choy Breakdown of academic impact, for papers by Zhengjun Zhang Breakdown of academic impact, for papers by Richard McHugh Breakdown of academic impact, for papers by Michael Parzen Breakdown of academic impact, for papers by Marjorie A. Rosenberg Breakdown of academic impact, for papers by Richard K. Crump Breakdown of academic impact, for papers by Oscar A. Mitnik Breakdown of academic impact, for papers by Fabrizia Mealli Breakdown of academic impact, for papers by José M. Pavía
Rankless by CCL
2026