Riccardo Borgoni

673 total citations
48 papers, 438 citations indexed

About

Riccardo Borgoni is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Riccardo Borgoni has authored 48 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Riccardo Borgoni's work include Radioactivity and Radon Measurements (7 papers), Geochemistry and Geologic Mapping (6 papers) and Soil Geostatistics and Mapping (5 papers). Riccardo Borgoni is often cited by papers focused on Radioactivity and Radon Measurements (7 papers), Geochemistry and Geologic Mapping (6 papers) and Soil Geostatistics and Mapping (5 papers). Riccardo Borgoni collaborates with scholars based in Italy, United Kingdom and Germany. Riccardo Borgoni's co-authors include Francesco C. Billari, Nikos Tzavidis, Davide De Francesco, Ann Berrington, Alessandra Michelangeli, Peter Smith, Paola Del Bianco, Piero Quatto, Roberto Ambrosini and Christian Garavaglia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Riccardo Borgoni

44 papers receiving 415 citations

Peers

Riccardo Borgoni

RUT

SPS

GPC

Saeed Ur Rahman Pakistan

Aubrey Miller United States

Oluwole A. Odetunmibi Nigeria

Veronika Deffner Germany

Nebil Achour United Kingdom

Sean White United Kingdom

Marguerite Nyhan Ireland

Xiaohui Zhai China

Michael W. Robbins United States

Ioannis Adamopoulos Greece

Saeed Ur Rahman Pakistan

Riccardo Borgoni

148 ×1.2

RUT

59 ×0.8

34 ×0.5

SPS

73 ×1.6

48 ×1.1

GPC

Citations per year, relative to Riccardo Borgoni Riccardo Borgoni (= 1×) peers Saeed Ur Rahman

Countries citing papers authored by Riccardo Borgoni

Since Specialization

Citations

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

Fields of papers citing papers by Riccardo Borgoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Borgoni

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

All Works

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20 of 20 papers shown

Borgoni, Riccardo, et al.. (2024). A nonseparable first-order spatiotemporal intensity for events on linear networks: An application to ambulance interventions. The Annals of Applied Statistics. 18(1). 2 indexed citations

Borgoni, Riccardo, et al.. (2023). Assessing geographical differences of the COVID-19 impact on fuel consumption: the case of Italy. Letters in Spatial and Resource Sciences. 16(1).

Borgoni, Riccardo, et al.. (2020). Handling Heterogeneity in Assessing Residential Satisfaction. Geographical Analysis. 53(3). 447–466. 4 indexed citations

Borgoni, Riccardo, et al.. (2020). Model‐based process capability indices: The dry‐etching semiconductor case study. Quality and Reliability Engineering International. 36(7). 2309–2321. 13 indexed citations

Berlingeri, Manuela, Francesca Gasparini, Aurora Saibene, et al.. (2019). Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data. Frontiers in Neuroscience. 13. 1037–1037. 10 indexed citations

Borgoni, Riccardo, et al.. (2017). Selecting subgrids from a spatial monitoring network: Proposal and application in semiconductor manufactoring process. Quality and Reliability Engineering International. 33(6). 1249–1261. 3 indexed citations

Borgoni, Riccardo, Paola Del Bianco, Nicola Salvati, Timo Schmid, & Nikos Tzavidis. (2016). Modelling the distribution of health-related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression. Statistical Methods in Medical Research. 27(2). 549–563. 15 indexed citations

Borgoni, Riccardo, Alessandra Michelangeli, & Nicola Pontarollo. (2016). How Does a City Benefit from Culture? Evidence from Milan. SSRN Electronic Journal.

Lorenzo, Tiziana Di, et al.. (2015). Occurrence of volatile organic compounds in shallow alluvial aquifers of a Mediterranean region: Baseline scenario and ecological implications. The Science of The Total Environment. 538. 712–723. 30 indexed citations

10.

Giorgi, Alfredo De, et al.. (2014). Adherence to medical treatment in inflammatory bowel disease patients.. PubMed. 60(4). 269–74. 15 indexed citations

11.

Borgoni, Riccardo, et al.. (2014). Hierarchical modeling of indoor radon concentration: how much do geology and building factors matter?. Journal of Environmental Radioactivity. 138. 227–237. 50 indexed citations

12.

Spreafico, Giorgio, et al.. (2014). Endovenous laser ablation of great and small saphenous vein incompetence with a 1470-nm laser and radial fiber. Journal of Vascular Surgery Venous and Lymphatic Disorders. 2(4). 403–410. 10 indexed citations

13.

Ambrosini, Roberto, Riccardo Borgoni, Diego Rubolini, et al.. (2014). Modelling the Progression of Bird Migration with Conditional Autoregressive Models Applied to Ringing Data. PLoS ONE. 9(7). e102440–e102440. 16 indexed citations

14.

Borgoni, Riccardo, Peter Smith, & Ann Berrington. (2014). Simulating interventions in graphical chain models for longitudinal data. Quality & Quantity. 49(2). 599–616. 2 indexed citations

15.

Spreafico, Giorgio, et al.. (2013). Six-year follow-up of endovenous laser ablation for great saphenous vein incompetence. Journal of Vascular Surgery Venous and Lymphatic Disorders. 1(1). 20–25. 17 indexed citations

16.

Borgoni, Riccardo, et al.. (2013). Statistics for microelectronics. Applied Stochastic Models in Business and Industry. 29(4). 315–318. 3 indexed citations

17.

Borgoni, Riccardo, Ann Berrington, & Peter Smith. (2011). Selecting and fitting graphical chain models to longitudinal data. Quality & Quantity. 46(3). 715–738. 7 indexed citations

18.

Borgoni, Riccardo, et al.. (2010). Optimal reduction of a monitoring grid for SiO2 deposition surface over a wafer for semiconductor devices. 1–10. 1 indexed citations

19.

Gabrielli, Giuseppe & Riccardo Borgoni. (2007). Age at first sexual intercourse in Italy: A geographical approach. BOA (University of Milano-Bicocca). 6 indexed citations

20.

Borgoni, Riccardo & Ann Berrington. (2004). A tree based procedure for multivariate imputation. International Journal of Older People Nursing. 14(3). e12233–e12233. 3 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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