Shakeeb Khan

2.0k citations
50 papers · 1.2k · h-index 20

Impact in

Papers in

Shakeeb Khan

50 papers receiving 1.1k citations

Peers

Shakeeb Khan
Comparison fields: 5 of 124
  • Statistics and Probability 527
  • Economics and Econometrics 392
  • General Economics, Econometrics and Finance 116
  • General Decision Sciences 11
  • Management Science and Operations Research 73
Replace Richard K. Crump with:
Richard K. Crump United States
Marc Ratkovic United States
Oscar A. Mitnik United States
Fabrizia Mealli Italy
Kazumitsu Nawata Japan
Michael McAleer Australia
Kajal Lahiri United States
S. T. Boris Choy Australia
Catalina Bolancé Spain
Christian M. Dahl Denmark
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Shakeeb Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shakeeb Khan Line = papers co-authored together Shakeeb Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010151
2 2009107
3 200275
4 200970
5 200169
6 200664
7 201161
8 201055
9 200140
10 201036
11 200535
12 200135
13 201528
14 200328
15 200028
16 201027
17 201223
18 200722
19 201020
20 201019

About Shakeeb Khan

Shakeeb Khan is a scholar working on Statistics and Probability, Economics and Econometrics, Surgery, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (14 papers), Advanced Causal Inference Techniques (12 papers), Advanced Statistical Methods and Models (7 papers), Spatial and Panel Data Analysis (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Enhanced Recovery After Surgery (3 papers) and Abdominal Surgery and Complications (3 papers). The work is most often cited by research in Statistics and Probability (527 citations), Economics and Econometrics (392 citations), General Economics, Econometrics and Finance (116 citations), General Decision Sciences (11 citations) and Management Science and Operations Research (73 citations). Shakeeb Khan has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent 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. Their work appears in journals such as Journal of Econometrics, Econometric Theory, Econometrica, International Journal of Surgery and HPB.

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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