Nasser Davarzani
- Cardiology and Cardiovascular Medicine top 10%
- Statistics and Probability top 5%
- Surgery
- Pulmonary and Respiratory Medicine
- Immunology
- Co-authors
- Hans‐Peter Brunner‐La RoccaSandra Sanders‐van WijkMicha T. MaederMatthias PfistererRolf HandschinVanessa van EmpelAhmad ParsianRalf Peeters
- Topics
- Statistical Distribution Estimation and Applications (13 papers)Statistical Methods and Inference (10 papers)Insurance, Mortality, Demography, Risk Management (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistics and ProbabilityStatistics, Probability and Uncertainty
- Partner nations
- NetherlandsIranBrazil
In The Last Decade
Nasser Davarzani
18 papers receiving 296 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 171
- Statistics and Probability 61
- Surgery 53
- Pulmonary and Respiratory Medicine 44
- Immunology 24
Countries citing papers authored by Nasser Davarzani
This map shows the geographic impact of Nasser Davarzani'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 Nasser Davarzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasser Davarzani more than expected).
Fields of papers citing papers by Nasser Davarzani
This network shows the impact of papers produced by Nasser Davarzani. 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 Nasser Davarzani. The network helps show where Nasser Davarzani may publish in the future.
Co-authorship network of co-authors of Nasser Davarzani
This figure shows the co-authorship network connecting the top 25 collaborators of Nasser Davarzani. A scholar is included among the top collaborators of Nasser Davarzani 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 Nasser Davarzani. Nasser Davarzani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | Inference for the trivariate Marshall-Olkin-Weibull distribution in presence of right-censored data | 3 |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 183 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | Estimation of P(X <= Y ) for a Bivariate Weibull Distribution | 1 |
About Nasser Davarzani
Nasser Davarzani is a scholar working on Statistics and Probability, Demography and Statistics, Probability and Uncertainty, having authored 20 papers that have together received 301 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (13 papers), Statistical Methods and Inference (10 papers) and Insurance, Mortality, Demography, Risk Management (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (171 citations), Statistics and Probability (61 citations) and Statistics, Probability and Uncertainty (14 citations). Nasser Davarzani has collaborated with scholars based in Netherlands, Iran and Brazil. Frequent co-authors include Hans‐Peter Brunner‐La Rocca, Sandra Sanders‐van Wijk, Micha T. Maeder, Matthias Pfisterer, Rolf Handschin, Vanessa van Empel, Ahmad Parsian, Ralf Peeters, Heike I. Grabsch and Nicholas P. West. Their work appears in journals such as European Journal of Heart Failure, Histopathology and Journal of Cardiac Failure.
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.