Giorgio Alleva

675 total citations
15 papers, 499 citations indexed

About

Giorgio Alleva is a scholar working on Epidemiology, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Giorgio Alleva has authored 15 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Statistics and Probability and 3 papers in Economics and Econometrics. Recurrent topics in Giorgio Alleva's work include Data-Driven Disease Surveillance (5 papers), COVID-19 epidemiological studies (3 papers) and Statistical Methods and Inference (3 papers). Giorgio Alleva is often cited by papers focused on Data-Driven Disease Surveillance (5 papers), COVID-19 epidemiological studies (3 papers) and Statistical Methods and Inference (3 papers). Giorgio Alleva collaborates with scholars based in Italy, Germany and United States. Giorgio Alleva's co-authors include Maurizio Falcone, Antonio Semerari, Antonino Carcione, Giancarlo Dimaggio, Giuseppe Nicolò, Michele Procacci, Giuseppe Arbia, Erhard Mergenthaler, Fabio Di Dio and Brunero Liseo and has published in prestigious journals such as Journal of Cleaner Production, Economic Modelling and Ocean & Coastal Management.

In The Last Decade

Giorgio Alleva

11 papers receiving 480 citations

Peers

Giorgio Alleva
Joshua A. Tiegreen United States
Dine J. Feenstra Netherlands
Jessica Pollard United States
M Startup United Kingdom
Nadia Al‐Dajani United States
David Raune United Kingdom
Gregory J. Lengel United States
Joshua A. Tiegreen United States
Giorgio Alleva
Citations per year, relative to Giorgio Alleva Giorgio Alleva (= 1×) peers Joshua A. Tiegreen

Countries citing papers authored by Giorgio Alleva

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Alleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Alleva

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

All Works

15 of 15 papers shown
1.
Alleva, Giorgio, et al.. (2023). Unbiased estimation strategies for respondent driven sampling. Statistical Journal of the IAOS. 39(4). 865–876.
2.
Alleva, Giorgio, et al.. (2023). Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: Efficiency versus feasibility. Statistical Methods & Applications. 32(3). 983–999.
3.
Alleva, Giorgio, et al.. (2022). Spatial Sampling Design to Improve the Efficiency of the Estimation of the Critical Parameters of the SARS-CoV-2 Epidemic. Journal of Official Statistics. 38(2). 367–398. 2 indexed citations
4.
Alleva, Giorgio, et al.. (2021). Methodological, technological and design challenges in the new multisource statistics ecosystem. Statistical Journal of the IAOS. 37(1). 245–254. 1 indexed citations
5.
Alleva, Giorgio, et al.. (2021). Measuring the Accuracy of Aggregates Computed from a Statistical Register. Journal of Official Statistics. 37(2). 481–503. 3 indexed citations
7.
Acocella, Nicola, et al.. (2020). A stochastic estimated version of the Italian dynamic General Equilibrium Model. Economic Modelling. 92. 339–357.
8.
Alleva, Giorgio, et al.. (2016). Topics in Theoretical and Applied Statistics. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
9.
Alleva, Giorgio, et al.. (2016). Mapping resource conflicts with probabilistic network models. Journal of Cleaner Production. 139. 1463–1477. 4 indexed citations
10.
Alleva, Giorgio. (2015). Integration of business and trade statistics: limitations and opportunities,. IRIS Research product catalog (Sapienza University of Rome). 2 indexed citations
11.
Alleva, Giorgio. (2015). Adding Value to Statistics in the Data Revolution Age. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations
12.
Alleva, Giorgio, et al.. (2014). What drives environmental conflicts in coastal areas? An econometric approach. Ocean & Coastal Management. 101. 63–78. 9 indexed citations
13.
Alleva, Giorgio, et al.. (2005). Estimates based on preliminary data from a specific subsample and from respondents not included in the subsample. Statistical Methods & Applications. 14(1). 83–99.
14.
Semerari, Antonio, Antonino Carcione, Giancarlo Dimaggio, et al.. (2003). Assessing Problematic States in Patients' Narratives: The Grid of Problematic States. Psychotherapy Research. 13(3). 337–353. 19 indexed citations
15.
Semerari, Antonio, Antonino Carcione, Giancarlo Dimaggio, et al.. (2003). How to evaluate metacognitive functioning in psychotherapy? The metacognition assessment scale and its applications. Clinical Psychology & Psychotherapy. 10(4). 238–261. 445 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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