Roberto Benedetti

1.3k total citations
57 papers, 892 citations indexed

About

Roberto Benedetti is a scholar working on Economics and Econometrics, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Roberto Benedetti has authored 57 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 14 papers in Statistics and Probability and 9 papers in Environmental Engineering. Recurrent topics in Roberto Benedetti's work include Spatial and Panel Data Analysis (17 papers), Economic and Environmental Valuation (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Roberto Benedetti is often cited by papers focused on Spatial and Panel Data Analysis (17 papers), Economic and Environmental Valuation (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Roberto Benedetti collaborates with scholars based in Italy, Chile and United States. Roberto Benedetti's co-authors include Paolo Rossini, Paolo Postiglione, Giuseppe Espa, Lara Tarquinio, Domenico Raucci, R. Taddei, Marco Bee, Cristina Salvioni, U. Ricci and Giuseppe Arbia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Environmental Management.

In The Last Decade

Roberto Benedetti

47 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Benedetti Italy 16 281 237 236 212 91 57 892
Roman Liška Italy 9 97 0.3× 158 0.7× 438 1.9× 90 0.4× 82 0.9× 11 1.2k
Paul R. Wyrwoll Australia 16 62 0.2× 217 0.9× 132 0.6× 89 0.4× 24 0.3× 110 910
N. Ross Lambie Australia 15 57 0.2× 197 0.8× 141 0.6× 82 0.4× 22 0.2× 106 745
David Edwards United Kingdom 17 77 0.3× 391 1.6× 115 0.5× 72 0.3× 88 1.0× 41 1.0k
Simón Cook Australia 21 258 0.9× 237 1.0× 92 0.4× 355 1.7× 352 3.9× 71 1.4k
Yongwan Chun United States 20 114 0.4× 308 1.3× 466 2.0× 115 0.5× 8 0.1× 73 1.3k
Giampiero Genovese Italy 9 132 0.5× 167 0.7× 110 0.5× 73 0.3× 176 1.9× 15 603
Arika Ligmann-Zielińska United States 19 141 0.5× 703 3.0× 213 0.9× 102 0.5× 40 0.4× 37 1.4k
Giuseppe Arbia Italy 21 80 0.3× 236 1.0× 1.1k 4.8× 182 0.9× 17 0.2× 77 1.6k
David Letson United States 23 115 0.4× 507 2.1× 406 1.7× 57 0.3× 157 1.7× 50 1.6k

Countries citing papers authored by Roberto Benedetti

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Benedetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Benedetti

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Benedetti. A scholar is included among the top collaborators of Roberto Benedetti 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 Roberto Benedetti. Roberto Benedetti 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.
Benedetti, Roberto, et al.. (2025). Dynamic spatial regimes for spatial panel data. Spatial Statistics. 70. 100939–100939.
2.
Benedetti, Roberto, et al.. (2023). The optimal size of territorial units in the outsourcing of waste service: An empirical approach. Journal of Environmental Management. 348. 119141–119141. 2 indexed citations
3.
Postiglione, Paolo, et al.. (2023). Constrained optimization for addressing spatial heterogeneity in principal component analysis: an application to composite indicators. Statistical Methods & Applications. 32(5). 1539–1561. 4 indexed citations
4.
Vidoli, Francesco, Giacomo Pignataro, & Roberto Benedetti. (2022). Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression. Socio-Economic Planning Sciences. 82. 101223–101223. 2 indexed citations
5.
Benedetti, Roberto, et al.. (2021). A simulated annealing-based algorithm for selecting balanced samples. Computational Statistics. 37(1). 491–505. 1 indexed citations
6.
Benedetti, Roberto, et al.. (2020). Identification of spatially constrained homogeneous clusters of COVID‐19 transmission in Italy. Regional Science Policy & Practice. 12(6). 1169–1188. 13 indexed citations
7.
Benedetti, Roberto, et al.. (2020). Mapping Poverty of Latin American and Caribbean Countries from Heaven Through Night-Light Satellite Images. Social Indicators Research. 156(2-3). 533–562. 29 indexed citations
8.
Benedetti, Roberto, et al.. (2020). Spatial auto‐correlation and auto‐regressive models estimation from sample survey data. Biometrical Journal. 62(6). 1494–1507. 2 indexed citations
9.
Kertzer, David I. & Roberto Benedetti. (2020). The Vatican’s Role in the Finaly Children’s Kidnapping Case. Information Technology and Libraries (Boston College). 15(1).
10.
Benedetti, Roberto, et al.. (2019). A distance correlation index of spatial dependence for compositional data. Papers of the Regional Science Association. 98(6). 2371–2390.
11.
Benedetti, Roberto, et al.. (2019). Mapping GDP and PPPs at Sub-National Level Through Earth Observation in Eastern Europe and CIS Countries. Voprosy statistiki. 26(11). 70–84. 1 indexed citations
12.
Benedetti, Roberto, et al.. (2019). Modeling the Impact of Technological Innovation on Environmental Efficiency: A Spatial Panel Data Approach. Geographical Analysis. 52(2). 231–253. 19 indexed citations
13.
Benedetti, Roberto, et al.. (2018). Sample selection when a multivariate set of size measures is available. Statistical Methods & Applications. 28(1). 1–25. 2 indexed citations
14.
Benedetti, Roberto, et al.. (2017). Alternative and complementary approaches to spatially balanced samples. METRON. 75(3). 249–264. 4 indexed citations
15.
Benedetti, Roberto, et al.. (2017). A spatially balanced design with probability function proportional to the within sample distance. Biometrical Journal. 59(5). 1067–1084. 20 indexed citations
16.
17.
Benedetti, Roberto, et al.. (2012). Multivariate Boundaries of a Self Representing Stratum of Large Units in Agricultural Survey Design. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Benedetti, Roberto, Marco Bee, & Giuseppe Espa. (2010). A framework for cut-off sampling in business survey design. Journal of Official Statistics. 26(4). 651–671. 13 indexed citations
19.
Bee, Marco, Roberto Benedetti, & Giuseppe Espa. (2008). Spatial models for flood risk assessment. Environmetrics. 19(7). 725–741. 7 indexed citations
20.
Benedetti, Roberto, et al.. (1995). Optimal sampling designs for dependent spatial units. Environmetrics. 6(2). 101–114. 15 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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