Shakeeb Khan

53 papers and 1.2k indexed citations i.

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 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 11 papers in Economics and Econometrics and 7 papers in Surgery. Recurrent topics in Shakeeb Khan’s work include Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Causal Inference Techniques (14 papers). Shakeeb Khan is often cited by papers focused on Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Causal Inference Techniques (14 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

Co-authorship network of co-authors of Shakeeb Khan i

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.

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).

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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