Eva Cantoni
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 17
- Statistical Methods and Bayesian Inference 16
- Advanced Statistical Methods and Models 11
- Economics and Econometrics top 2%
- Spatial and Panel Data Analysis 9
- Housing Market and Economics 8
- Economic and Environmental Valuation 5
- Small Animals top 5%
- Finance top 10%
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- Marine and fisheries research 6
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- Fish Ecology and Management Studies 5
- Co-authors
- Elvezio RonchettiMartin HoesliSteven C. BourassaStéphane HéritierSamuel CoptMaria‐Pia Victoria‐FeserJoanna Mills FlemmingLaurianne Canario
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyEconomics and Econometrics
- Journals
- Computational Statistics & Data Analysis (3 papers)Econometrics and Statistics (2 papers)Scandinavian Journal of Statistics (2 papers)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Eva Cantoni
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 150
- Statistics and Probability 499
- Statistics, Probability and Uncertainty 125
- Economics and Econometrics 407
- Small Animals 79
- Finance 70
Countries citing papers authored by Eva Cantoni
This map shows the geographic impact of Eva Cantoni'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 Eva Cantoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Cantoni more than expected).
Fields of papers citing papers by Eva Cantoni
This network shows the impact of papers produced by Eva Cantoni. 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 Eva Cantoni. The network helps show where Eva Cantoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Cantoni, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 5 | |
| 6 | 2017 | 9 | |
| 7 | 2015 | 6 | |
| 8 | 2014 | 38 | |
| 9 | 2013 | 0 | |
| 10 | 2011 | 36 | |
| 11 | 2009 | 145 | |
| 12 | Spatial Dependence, Housing Submarkets, and House Price Prediction | 2007 | 2 |
| 13 | 2006 | 19 | |
| 14 | 2006 | 28 | |
| 15 | 2006 | 59 | |
| 16 | 2006 | 106 | |
| 17 | 2005 | 49 | |
| 18 | 2005 | 9 | |
| 19 | 2004 | 23 | |
| 20 | 2001 | 1 |
About Eva Cantoni
Eva Cantoni is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Nature and Landscape Conservation and Global and Planetary Change, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Statistical Methods and Bayesian Inference (16 papers), Advanced Statistical Methods and Models (11 papers), Spatial and Panel Data Analysis (9 papers), Housing Market and Economics (8 papers), Marine and fisheries research (6 papers), Economic and Environmental Valuation (5 papers) and Fish Ecology and Management Studies (5 papers). The work is most often cited by research in Statistics and Probability (499 citations), Statistics, Probability and Uncertainty (125 citations), Economics and Econometrics (407 citations), Small Animals (79 citations) and Finance (70 citations). Eva Cantoni has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Elvezio Ronchetti, Martin Hoesli, Steven C. Bourassa, Stéphane Héritier, Samuel Copt, Maria‐Pia Victoria‐Feser, Joanna Mills Flemming, Laurianne Canario, Etienne Le Bihan and Yvon Billon. Their work appears in journals such as Computational Statistics & Data Analysis, Econometrics and Statistics, Scandinavian Journal of Statistics, Canadian Journal of Statistics and Statistical Modelling.
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.