Piercesare Secchi

2.2k total citations
98 papers, 1.4k citations indexed

About

Piercesare Secchi is a scholar working on Artificial Intelligence, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Piercesare Secchi has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 16 papers in Environmental Engineering. Recurrent topics in Piercesare Secchi's work include Soil Geostatistics and Mapping (16 papers), Bayesian Methods and Mixture Models (12 papers) and Morphological variations and asymmetry (10 papers). Piercesare Secchi is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Bayesian Methods and Mixture Models (12 papers) and Morphological variations and asymmetry (10 papers). Piercesare Secchi collaborates with scholars based in Italy, United States and United Kingdom. Piercesare Secchi's co-authors include Simone Vantini, Alessandra Menafoglio, Laura M. Sangalli, Valeria Vitelli, Anna Maria Paganoni, Alessandro Veneziani, Alberto Guadagnini, Caterina May, Davide Pigoli and Francesco Di Maio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Piercesare Secchi

89 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piercesare Secchi Italy 22 391 373 241 174 129 98 1.4k
Laura M. Sangalli Italy 20 242 0.6× 370 1.0× 241 1.0× 168 1.0× 49 0.4× 78 1.3k
Berwin A. Turlach Australia 24 430 1.1× 702 1.9× 48 0.2× 92 0.5× 152 1.2× 84 2.2k
Lutz Dümbgen Switzerland 25 355 0.9× 875 2.3× 78 0.3× 76 0.4× 86 0.7× 63 1.5k
David J. Nott Singapore 25 716 1.8× 756 2.0× 326 1.4× 105 0.6× 88 0.7× 105 2.0k
Hsin‐Cheng Huang Taiwan 22 302 0.8× 392 1.1× 686 2.8× 493 2.8× 84 0.7× 62 1.7k
D. G. T. Denison United Kingdom 12 485 1.2× 383 1.0× 92 0.4× 132 0.8× 55 0.4× 22 1.1k
Krzysztof Podgórski Sweden 17 367 0.9× 654 1.8× 138 0.6× 269 1.5× 215 1.7× 82 1.9k
John P. Nolan United States 22 213 0.5× 348 0.9× 66 0.3× 377 2.2× 109 0.8× 61 1.8k
Shuangzhe Liu Australia 22 194 0.5× 578 1.5× 143 0.6× 200 1.1× 214 1.7× 144 1.9k
Masanobu Taniguchi Japan 25 303 0.8× 730 2.0× 45 0.2× 434 2.5× 116 0.9× 167 2.3k

Countries citing papers authored by Piercesare Secchi

Since Specialization
Citations

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

Fields of papers citing papers by Piercesare Secchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piercesare Secchi

This figure shows the co-authorship network connecting the top 25 collaborators of Piercesare Secchi. A scholar is included among the top collaborators of Piercesare Secchi 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 Piercesare Secchi. Piercesare Secchi 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.
Ruggeri, Fabrizio, David Banks, William S. Cleveland, et al.. (2025). Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?. Applied Stochastic Models in Business and Industry. 41(2).
2.
Osticioli, Iacopo, et al.. (2024). Characterization of photoluminescent and Raman properties of ultramarine blue pigment variants with a novel multimodal approach. SHILAP Revista de lepidopterología. 309. 14004–14004.
3.
Bovera, Filippo, et al.. (2024). Longitudinal Study of Dispatchable Power Units Trading Strategies on Electricity Spot Markets in Italy. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6.
4.
Menafoglio, Alessandra, Laura Guadagnini, Alberto Guadagnini, & Piercesare Secchi. (2021). Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers. Spatial Statistics. 43. 100494–100494. 4 indexed citations
5.
Azzone, Giovanni, et al.. (2021). Social and Material Vulnerability in the Face of Seismic Hazard: An Analysis of the Italian Case. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(4). 1549–1577. 9 indexed citations
6.
Secchi, Piercesare. (2020). Discussion of “A review of data science in business and industry and a future view,” by Grazia Vicario and Shirley Coleman. Applied Stochastic Models in Business and Industry. 36(1). 33–35. 1 indexed citations
7.
Cremona, Marzia A., Laura M. Sangalli, Simone Vantini, et al.. (2015). Peak shape clustering reveals biological insights. BMC Bioinformatics. 16(1). 349–349. 14 indexed citations
8.
Secchi, Piercesare, Simone Vantini, & Paolo Zanini. (2013). Discovering Spatiotemporal Patterns of Urban Life From Mobile Data: an Exploration Through Hierarchical Independent Component Analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
9.
Maio, Francesco Di, Piercesare Secchi, Simone Vantini, & Enrico Zio. (2011). Fuzzy C-Means Clustering of Signal Functional Principal Components for Post-Processing Dynamic Scenarios of a Nuclear Power Plant Digital Instrumentation and Control System. IEEE Transactions on Reliability. 60(2). 415–425. 22 indexed citations
10.
Sangalli, Laura M., Piercesare Secchi, Simone Vantini, & Valeria Vitelli. (2010). Functional clustering and alignment methods with applications. Duo Research Archive (University of Oslo). 1(1). 205–224. 15 indexed citations
11.
Aletti, Giacomo, Caterina May, & Piercesare Secchi. (2009). A central limit theorem, and related results, for a two-color randomly reinforced urn. Advances in Applied Probability. 41(3). 829–844. 7 indexed citations
12.
Origoni, Massimo, Flavia Lillo, Anna Maria Paganoni, et al.. (2007). IFN-γ Produced by Human Papilloma Virus-18 E6-Specific CD4+ T Cells Predicts the Clinical Outcome after Surgery in Patients with High-Grade Cervical Lesions. The Journal of Immunology. 179(10). 7176–7183. 41 indexed citations
13.
Paganoni, Anna Maria & Piercesare Secchi. (2007). A numerical study for comparing two response-adaptive designs for continuous treatment effects. Statistical Methods & Applications. 16(3). 321–346. 13 indexed citations
14.
May, Caterina, Anna Maria Paganoni, & Piercesare Secchi. (2005). On a two-color generalized Polya urn. METRON. 63(1). 115–134. 14 indexed citations
15.
Paganoni, Anna Maria, et al.. (2005). A randomly reinforced urn. Journal of Statistical Planning and Inference. 136(6). 1853–1874. 35 indexed citations
16.
Muliere, Pietro, Piercesare Secchi, & Stephen G. Walker. (2004). Partially exchangeable processes indexed by the vertices of a k-tree constructed via reinforcement. Stochastic Processes and their Applications. 115(4). 661–677. 6 indexed citations
17.
Muliere, Pietro, Piercesare Secchi, & Stephen G. Walker. (2003). Reinforced random processes in continuous time. Stochastic Processes and their Applications. 104(1). 117–130. 16 indexed citations
18.
Castel, Charles, et al.. (1998). Perception Strategy for a Surveillance System.. European Conference on Artificial Intelligence. 627–631. 7 indexed citations
19.
Secchi, Piercesare. (1997). Stationary Strategies for Recursive Games. Mathematics of Operations Research. 22(2). 494–512. 5 indexed citations
20.
Secchi, Piercesare, et al.. (1989). Sul Teorema di Rappresentazione di de Finetti. METRON. 47. 373–411. 1 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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