Maria Michela Dickson
- Modeling and Simulation top 2%
- Economics and Econometrics top 10%
- Spatial and Panel Data Analysis 9
- Economic and Environmental Valuation 5
- Firm Innovation and Growth 4
- Regional Economics and Spatial Analysis 4
- Statistics and Probability top 10%
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 4
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- Financial Risk and Volatility Modeling 4
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- Data-Driven Disease Surveillance 3
- Co-authors
- Giuseppe EspaDiego GiulianiYves TilléLucia SavadoriGiuseppe ArbiaEmanuele TauferRoberto BenedettiPaul Onyango
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
Maria Michela Dickson
27 papers receiving 278 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 109
- Economics and Econometrics 117
- Statistics and Probability 30
- Transportation 21
- Environmental Engineering 33
Countries citing papers authored by Maria Michela Dickson
This map shows the geographic impact of Maria Michela Dickson'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 Maria Michela Dickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Michela Dickson more than expected).
Fields of papers citing papers by Maria Michela Dickson
This network shows the impact of papers produced by Maria Michela Dickson. 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 Maria Michela Dickson. The network helps show where Maria Michela Dickson may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Maria Michela Dickson, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 95 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 33 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 53 | |
| 15 | 2018 | 4 | |
| 16 | Job insecurity within the household: Are Australian householders caring when it comes to risk sharing? | 2016 | 2 |
| 17 | 2016 | 3 | |
| 18 | 2016 | 1 | |
| 19 | 2014 | 9 | |
| 20 | 2002 | 3 |
About Maria Michela Dickson
Maria Michela Dickson is a scholar working on Statistics and Probability, Economics and Econometrics and Modeling and Simulation, having authored 34 papers that have together received 286 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (9 papers), Economic and Environmental Valuation (5 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Financial Risk and Volatility Modeling (4 papers), Firm Innovation and Growth (4 papers), Regional Economics and Spatial Analysis (4 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Modeling and Simulation (109 citations), Economics and Econometrics (117 citations) and Statistics and Probability (30 citations). Maria Michela Dickson has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Giuseppe Espa, Diego Giuliani, Yves Tillé, Lucia Savadori, Giuseppe Arbia, Emanuele Taufer, Roberto Benedetti, Paul Onyango, Marco Bee and Andrew J. Brooks. Their work appears in journals such as Spatial Economic Analysis, PLoS ONE, Quality & Quantity, The Journal of Technology Transfer and Computers Environment and Urban Systems.
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.