Shahab Jolani
- Infectious Diseases top 10%
- Statistics and Probability top 2%
- Neurology top 10%
- Oncology
- Clinical Psychology
- Co-authors
- Stef van BuurenSaurabh ZalpuriMaurice P. ZeegersAnke RichtersBart G. PijlsStevie HendriksThomas P. A. DebrayAnique Atherley
- Topics
- Statistical Methods and Bayesian Inference (16 papers)Advanced Causal Inference Techniques (9 papers)Statistical Methods and Inference (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Clinical EpidemiologyBritish Journal of Cancer
- Partner nations
- NetherlandsUnited KingdomCanada
In The Last Decade
Shahab Jolani
26 papers receiving 779 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Infectious Diseases 239
- Statistics and Probability 152
- Neurology 111
- Oncology 102
- Clinical Psychology 100
Countries citing papers authored by Shahab Jolani
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studiesbreakdown → | 334 |
| 9 | 0 | |
| 10 | 55 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 91 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 9 |
About Shahab Jolani
Shahab Jolani is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 30 papers that have together received 793 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (16 papers), Advanced Causal Inference Techniques (9 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (152 citations), Modeling and Simulation (66 citations) and Infectious Diseases (239 citations). Shahab Jolani has collaborated with scholars based in Netherlands, United Kingdom and Canada. Frequent co-authors include Stef van Buuren, Saurabh Zalpuri, Maurice P. Zeegers, Anke Richters, Bart G. Pijls, Stevie Hendriks, Thomas P. A. Debray, Anique Atherley, Gregor H. L. M. Franssen and Raissa T Derckx. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and British Journal of Cancer.
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.