Monica Pratesi

1.5k total citations
69 papers, 982 citations indexed

About

Monica Pratesi is a scholar working on Economics and Econometrics, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, Monica Pratesi has authored 69 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 16 papers in Sociology and Political Science and 14 papers in Statistics and Probability. Recurrent topics in Monica Pratesi's work include Spatial and Panel Data Analysis (13 papers), demographic modeling and climate adaptation (12 papers) and Income, Poverty, and Inequality (10 papers). Monica Pratesi is often cited by papers focused on Spatial and Panel Data Analysis (13 papers), demographic modeling and climate adaptation (12 papers) and Income, Poverty, and Inequality (10 papers). Monica Pratesi collaborates with scholars based in Italy, United Kingdom and Australia. Monica Pratesi's co-authors include Nicola Salvati, Nikos Tzavidis, Leonardo Grilli, Stefano Marchetti, Lucio Masserini, Maria Giovanna Ranalli, Isabel Molina, Matilde Bini, Ray Chambers and Elena Parretti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Diabetes Care.

In The Last Decade

Monica Pratesi

59 papers receiving 881 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Monica Pratesi Italy 19 358 219 208 179 136 69 982
Fabrizia Mealli Italy 22 421 1.2× 771 3.5× 55 0.3× 158 0.9× 33 0.2× 82 1.4k
Yu‐Sung Su China 12 203 0.6× 257 1.2× 45 0.2× 127 0.7× 11 0.1× 22 1.1k
Jean‐Claude Deville France 10 295 0.8× 882 4.0× 153 0.7× 353 2.0× 6 0.0× 23 1.7k
Marc Ratkovic United States 7 298 0.8× 549 2.5× 53 0.3× 181 1.0× 6 0.0× 11 1.2k
Christian M. Dahl Denmark 13 346 1.0× 93 0.4× 46 0.2× 37 0.2× 19 0.1× 52 726
Alessandra Mattei Italy 16 238 0.7× 267 1.2× 22 0.1× 105 0.6× 6 0.0× 43 842
Richard K. Crump United States 18 768 2.1× 462 2.1× 48 0.2× 130 0.7× 5 0.0× 57 1.5k
Rosalba Radice United Kingdom 19 347 1.0× 287 1.3× 31 0.1× 148 0.8× 2 0.0× 55 934
Oscar A. Mitnik United States 12 448 1.3× 477 2.2× 30 0.1× 128 0.7× 5 0.0× 29 1.1k
Yingyao Hu United States 17 609 1.7× 318 1.5× 218 1.0× 170 0.9× 4 0.0× 67 1.3k

Countries citing papers authored by Monica Pratesi

Since Specialization
Citations

This map shows the geographic impact of Monica Pratesi'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 Monica Pratesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Pratesi more than expected).

Fields of papers citing papers by Monica Pratesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Pratesi. 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 Monica Pratesi. The network helps show where Monica Pratesi may publish in the future.

Co-authorship network of co-authors of Monica Pratesi

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Pratesi. A scholar is included among the top collaborators of Monica Pratesi 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 Monica Pratesi. Monica Pratesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bertarelli, Gaia, Donato Summa, Monica Scannapieco, et al.. (2024). Inference for big data assisted by small area methods: an application on sustainable development goals sensitivity of enterprises in Italy. Journal of the Royal Statistical Society Series A (Statistics in Society). 188(1). 27–45. 1 indexed citations
2.
Bertarelli, Gaia, et al.. (2022). Disaggregation of poverty indicators by small area methods for assessing the targeting of the “Reddito di Cittadinanza” national policy in Italy. Socio-Economic Planning Sciences. 82. 101327–101327. 6 indexed citations
3.
Pratesi, Monica, et al.. (2021). EMOS reloaded: Unlock the future of education in official statistics with a new partnership with Universities. Statistical Journal of the IAOS. 37(3). 825–833.
4.
Pratesi, Monica. (2016). Analysis of poverty data by small area estimation. Wiley eBooks. 1–436. 18 indexed citations
5.
Pratesi, Monica. (2015). Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives. CINECA IRIS Institutial research information system (University of Pisa). 1–160. 6 indexed citations
6.
Pratesi, Monica, et al.. (2013). Methodological developments for improving the reliability and cost-effectiveness of agricultural statistics in developing countries. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 59. 1930–1935. 3 indexed citations
7.
Marchetti, Stefano, et al.. (2012). Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators. SHILAP Revista de lepidopterología. 14 indexed citations
8.
Marchetti, Stefano, et al.. (2011). Small Area Methodologies for Poverty Estimation: an Application to Italian Data. Ingénierie des systèmes d information. 1 indexed citations
9.
Salvati, Nicola, Monica Pratesi, Nikos Tzavidis, & Ray Chambers. (2009). SPATIAL M-QUANTILE MODELS FOR SMALL AREA ESTIMATION. Statistics in Transition New Series. 10(2). 251–267. 5 indexed citations
10.
Pratesi, Monica, Maria Giovanna Ranalli, & Nicola Salvati. (2009). Nonparametric M -quantile regression using penalised splines. Journal of nonparametric statistics. 21(3). 287–304. 36 indexed citations
11.
Pratesi, Monica & Nicola Salvati. (2009). Small area estimation in the presence of correlated random area effects. Journal of Official Statistics. 25(1). 37–53. 29 indexed citations
12.
Pratesi, Monica, et al.. (2009). Small area methods in the estimation of poverty indicators: the case of Tuscany. 3(3). 369–380. 1 indexed citations
13.
Fabrizi, Enrico, Nicola Salvati, & Monica Pratesi. (2009). Constrained Small Area Estimators Based on M-Quantile Methods. Journal of Official Statistics. 28(1). 89–106. 7 indexed citations
14.
Pratesi, Monica, Maria Giovanna Ranalli, & Nicola Salvati. (2008). Semiparametric M‐quantile regression for estimating the proportion of acidic lakes in 8‐digit HUCs of the Northeastern US. Environmetrics. 19(7). 687–701. 16 indexed citations
15.
Pratesi, Monica, Katja Lozar Manfreda, Silvia Biffignandi, & Vasja Vehovar. (2004). List-based Web Surveys: Quality, Timeliness, and Nonresponse in the Steps of the Participation Flow. Journal of Official Statistics. 20(3). 451–465. 14 indexed citations
16.
Mello, G., et al.. (2002). Individual longitudinal patterns in biochemical and hematological markers for the early prediction of pre-eclampsia. The Journal of Maternal-Fetal & Neonatal Medicine. 11(2). 93–99. 18 indexed citations
17.
Mello, G., et al.. (1997). Anthropometric Features in Infants of Mothers with Gestational Diabetes: Relationship with Treatment Modalities. Neonatology. 72(1). 22–27. 6 indexed citations
18.
Mello, Giorgio, Elena Parretti, Federico Mecacci, et al.. (1997). Anthropometric characteristics of full-term infants: effects of varying degrees of “normal” glucose metabolism. Journal of Perinatal Medicine. 25(2). 197–204. 24 indexed citations
19.
Mello, G., Elena Parretti, Federico Mecacci, et al.. (1997). Excursion of daily glucose profiles in pregnant women with IDDM: relationship with perinatal outcome. Journal of Perinatal Medicine. 25(6). 488–497. 18 indexed citations
20.
Mello, G., et al.. (1997). Risk factors for fetal macrosomia: the importance of a positive oral glucose challenge test. European Journal of Endocrinology. 137(1). 27–33. 37 indexed citations

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.

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