Dario Gasbarra
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 6
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Inference 4
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- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic Associations and Epidemiology 7
- Genetic and phenotypic traits in livestock 4
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- Bayesian Methods and Mixture Models 4
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- Advanced Neuroimaging Techniques and Applications 4
- Co-authors
- Sangita KulathinalElja ArjasEsko ValkeilaMikko J. SillanpääKari KuulasmaaMatti PirinenKulam Najmudeen MagdoomPeter J. Basser
- Journals
- Journal of the American Statistical Association (2 papers)NeuroImage (1 paper)Scientific Reports (1 paper)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Dario Gasbarra
29 papers receiving 301 citations
Peers
Comparison fields: 5 of 82
- Statistics and Probability 113
- Computational Mathematics 3
- Genetics 87
- Finance 29
- Statistics, Probability and Uncertainty 20
Countries citing papers authored by Dario Gasbarra
This map shows the geographic impact of Dario Gasbarra'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 Dario Gasbarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Gasbarra more than expected).
Fields of papers citing papers by Dario Gasbarra
This network shows the impact of papers produced by Dario Gasbarra. 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 Dario Gasbarra. The network helps show where Dario Gasbarra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dario Gasbarra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 12 | |
| 5 | 2015 | 5 | |
| 6 | 2015 | 2 | |
| 7 | 2011 | 0 | |
| 8 | 2011 | 2 | |
| 9 | 2009 | 5 | |
| 10 | 2008 | 7 | |
| 11 | 2008 | 2 | |
| 12 | 2007 | 9 | |
| 13 | 2007 | 22 | |
| 14 | 2006 | 3 | |
| 15 | 2005 | 19 | |
| 16 | 2005 | 4 | |
| 17 | Theory of Stochastic Processes | 2004 | 60 |
| 18 | 2002 | 18 | |
| 19 | 2002 | 51 | |
| 20 | 1996 | 23 |
About Dario Gasbarra
Dario Gasbarra is a scholar working on Computational Mathematics, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 34 papers that have together received 324 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic Associations and Epidemiology (7 papers), Statistical Methods and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (5 papers), Bayesian Methods and Mixture Models (4 papers), Genetic and phenotypic traits in livestock (4 papers), Statistical Methods and Inference (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Statistics and Probability (113 citations), Computational Mathematics (3 citations) and Genetics (87 citations). Dario Gasbarra has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Sangita Kulathinal, Elja Arjas, Esko Valkeila, Mikko J. Sillanpää, Kari Kuulasmaa, Matti Pirinen, Kulam Najmudeen Magdoom, Peter J. Basser, Juha Karvanen and Elina Salmela. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage and Scientific Reports.
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.