Shahab Jolani

1.5k total citations · 1 hit paper
30 papers, 793 citations indexed

About

Shahab Jolani is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Shahab Jolani has authored 30 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Shahab Jolani's work include Statistical Methods and Bayesian Inference (16 papers), Advanced Causal Inference Techniques (9 papers) and Statistical Methods and Inference (7 papers). Shahab Jolani is often cited by papers focused on Statistical Methods and Bayesian Inference (16 papers), Advanced Causal Inference Techniques (9 papers) and Statistical Methods and Inference (7 papers). Shahab Jolani collaborates with scholars based in Netherlands, United Kingdom and Canada. Shahab Jolani's co-authors include Stef van Buuren, Anke Richters, Bart G. Pijls, Stevie Hendriks, Saurabh Zalpuri, Maurice P. Zeegers, Thomas P. A. Debray, Anique Atherley, Gregor H. L. M. Franssen and Janna I.R. Dijkstra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and British Journal of Cancer.

In The Last Decade

Shahab Jolani

26 papers receiving 779 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies

2021 334 citations Bart G. Pijls, Shahab Jolani et al. BMJ Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahab Jolani Netherlands	10	239	152	111	102	100	30	793
Roee Gutman United States	21	114 0.5×	164 1.1×	32 0.3×	96 0.9×	149 1.5×	100	1.4k
Bilal A. Mateen United Kingdom	14	213 0.9×	19 0.1×	87 0.8×	123 1.2×	51 0.5×	42	905
Carolina Riveros France	13	142 0.6×	57 0.4×	80 0.7×	57 0.6×	60 0.6×	26	1.0k
Matteo Quartagno United Kingdom	14	75 0.3×	193 1.3×	21 0.2×	123 1.2×	34 0.3×	39	715
Ashley Buchanan United States	15	193 0.8×	181 1.2×	10 0.1×	84 0.8×	124 1.2×	53	1.0k
Durgesh Chaudhary United States	14	119 0.5×	15 0.1×	81 0.7×	96 0.9×	130 1.3×	42	940
Venkatesh Avula United States	12	113 0.5×	12 0.1×	60 0.5×	88 0.9×	129 1.3×	23	782
Amélie Yavchitz France	14	84 0.4×	65 0.4×	26 0.2×	49 0.5×	27 0.3×	32	973
Hosein Ameri Iran	14	41 0.2×	25 0.2×	70 0.6×	47 0.5×	140 1.4×	50	614
Tanja Rombey Germany	16	74 0.3×	16 0.1×	66 0.6×	75 0.7×	62 0.6×	44	786

Countries citing papers authored by Shahab Jolani

Since Specialization

Citations

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

Fields of papers citing papers by Shahab Jolani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahab Jolani

This figure shows the co-authorship network connecting the top 25 collaborators of Shahab Jolani. A scholar is included among the top collaborators of Shahab Jolani 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 Shahab Jolani. Shahab Jolani 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

Bussi, Mario, Simone G. van Breda, Shahab Jolani, et al.. (2025). Food-grade titanium dioxide exposure between age groups and in global regions: a systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition. 65(31). 7325–7335.

Jolani, Shahab. (2025). Hierarchical imputation of categorical variables in the presence of systematically and sporadically missing data. Research Synthesis Methods. 16(5). 729–757. 1 indexed citations

Ophelders, Daan R. M. G., Matthi as C. Hütten, Peter G. J. Nikkels, et al.. (2024). Multipotent adult progenitor cells prevent functional impairment and improve development in inflammation driven detriment of preterm ovine lungs. Regenerative Therapy. 27. 207–217.

Kim, Young‐Woo, Lindsay C. Hewitt, Andrew F. Irvine, et al.. (2023). Tumour infiltrating lymphocytes and survival after adjuvant chemotherapy in patients with gastric cancer: post-hoc analysis of the CLASSIC trial. British Journal of Cancer. 128(12). 2318–2325. 7 indexed citations

Tan, Frans E. S., et al.. (2023). Dealing with missing observations in the outcome and covariates in randomized controlled trials. Journal of Statistical Computation and Simulation. 94(7). 1513–1542.

Gültzow, Thomas, Eline Suzanne Smit, Rik Crutzen, et al.. (2022). Effects of an Explicit Value Clarification Method With Computer-Tailored Advice on the Effectiveness of a Web-Based Smoking Cessation Decision Aid: Findings From a Randomized Controlled Trial. Journal of Medical Internet Research. 24(7). e34246–e34246. 2 indexed citations

Tan, Frans E. S. & Shahab Jolani. (2022). Applied Linear Regression for Longitudinal Data. Research Publications (Maastricht University). 2 indexed citations

Pijls, Bart G., Shahab Jolani, Anique Atherley, et al.. (2021). Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies. BMJ Open. 11(1). e044640–e044640. 334 indexed citations breakdown →

Agyemang, Charles, Anke Richters, Shahab Jolani, et al.. (2021). Ethnic minority status as social determinant for COVID-19 infection, hospitalisation, severity, ICU admission and deaths in the early phase of the pandemic: a meta-analysis. BMJ Global Health. 6(11). e007433–e007433. 55 indexed citations

10.

Jolani, Shahab, et al.. (2021). Evaluating Methods for Dealing with Missing Outcomes in Discrete-Time Event History Analysis: A Simulation Study. Open Journal of Statistics. 11(1). 36–76.

11.

Hewitt, Lindsay C., Matthew Hale, Veerle Melotte, et al.. (2020). Histological intratumoral heterogeneity in pretreatment esophageal cancer biopsies predicts survival benefit from neoadjuvant chemotherapy: results from the UK MRC OE02 trial. Diseases of the Esophagus. 33(8). 2 indexed citations

12.

Drechsler, Jörg, et al.. (2020). The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond. Journal of Statistical Software. 95(9). 4 indexed citations

13.

Audigier, Vincent, Ian R. White, Shahab Jolani, et al.. (2018). Multiple Imputation for Multilevel Data with Continuous and Binary Variables. Statistical Science. 33(2). 91 indexed citations

14.

Tan, Frans E. S., Shahab Jolani, & Hilde Verbeek. (2018). Guidelines for multiple imputations in repeated measurements with time-dependent covariates: a case study. Journal of Clinical Epidemiology. 102. 107–114. 30 indexed citations

15.

Béland, Sébastien, François Pichette, & Shahab Jolani. (2016). Impact on Cronbach's alpha of simple treatment methods for missing data. SHILAP Revista de lepidopterología. 12(1). 57–73. 13 indexed citations

16.

Cramm, Jane Murray, Shahab Jolani, Stef van Buuren, & Anna P. Nieboer. (2015). Better experiences with quality of care predict well-being of patients with chronic obstructive pulmonary disease in the Netherlands. International Journal of Integrated Care. 15(2). e028–e028. 9 indexed citations

17.

Pichette, François, et al.. (2015). The handling of missing binary data in language research. Studies in Second Language Learning and Teaching. 5(1). 153–169. 5 indexed citations

18.

Jolani, Shahab. (2014). An analysis of longitudinal data with nonignorable dropout using the truncated multivariate normal distribution. Journal of Multivariate Analysis. 131. 163–173. 4 indexed citations

19.

Jolani, Shahab. (2014). Doubly Robust Imputation of Incomplete Binary Longitudinal Data. Journal of Biometrics & Biostatistics. 5(3). 5 indexed citations

20.

Jolani, Shahab, Stef van Buuren, & Laurence E. Frank. (2011). Combining the complete-data and nonresponse models for drawing imputations under MAR. Journal of Statistical Computation and Simulation. 83(5). 868–879. 1 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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