Domenico Vistocco

795 total citations
37 papers, 499 citations indexed

About

Domenico Vistocco is a scholar working on Statistics and Probability, Economics and Econometrics and Food Science. According to data from OpenAlex, Domenico Vistocco has authored 37 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Economics and Econometrics and 5 papers in Food Science. Recurrent topics in Domenico Vistocco's work include Advanced Statistical Methods and Models (5 papers), Sensory Analysis and Statistical Methods (4 papers) and Online Learning and Analytics (3 papers). Domenico Vistocco is often cited by papers focused on Advanced Statistical Methods and Models (5 papers), Sensory Analysis and Statistical Methods (4 papers) and Online Learning and Analytics (3 papers). Domenico Vistocco collaborates with scholars based in Italy, Australia and Norway. Domenico Vistocco's co-authors include Cristina Davino, Marilena Furno, Giovanni C. Porzio, Giancarlo Ragozini, Rosaria Romano, Valeria Rizza, Giorgio Buonanno, Mario Amato, Aldo Russi and Patrizia Papetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Sustainability.

In The Last Decade

Domenico Vistocco

32 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Domenico Vistocco Italy 11 119 79 64 43 33 37 499
Cristina Davino Italy 10 123 1.0× 94 1.2× 50 0.8× 52 1.2× 29 0.9× 34 445
Tena I. Katsaounis United States 4 64 0.5× 43 0.5× 84 1.3× 67 1.6× 23 0.7× 10 701
Weiwen Miao United States 8 130 1.1× 45 0.6× 42 0.7× 25 0.6× 15 0.5× 29 621
Román Salmerón Gómez Spain 14 177 1.5× 172 2.2× 56 0.9× 64 1.5× 12 0.4× 54 927
Tonio Di Battista Italy 12 68 0.6× 95 1.2× 73 1.1× 10 0.2× 18 0.5× 48 471
Ivy Liu New Zealand 16 244 2.1× 91 1.2× 136 2.1× 59 1.4× 39 1.2× 51 839
Catalina Beatriz García García Spain 14 254 2.1× 154 1.9× 76 1.2× 64 1.5× 12 0.4× 55 1.0k
María del Mar López‐Martín Spain 10 125 1.1× 67 0.8× 20 0.3× 28 0.7× 12 0.4× 44 554
Manuel Escabias Spain 13 280 2.4× 44 0.6× 83 1.3× 15 0.3× 23 0.7× 33 679
Giovanni C. Porzio Italy 7 73 0.6× 58 0.7× 74 1.2× 40 0.9× 10 0.3× 21 491

Countries citing papers authored by Domenico Vistocco

Since Specialization
Citations

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

Fields of papers citing papers by Domenico Vistocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Domenico Vistocco

This figure shows the co-authorship network connecting the top 25 collaborators of Domenico Vistocco. A scholar is included among the top collaborators of Domenico Vistocco 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 Domenico Vistocco. Domenico Vistocco 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.
Tamburis, Oscar, et al.. (2023). ‘Smart’ Buffalo Weight Estimation via Digital Technologies: Experiences from South Italy. Studies in health technology and informatics. 302. 895–896. 2 indexed citations
2.
Angrisani, Leopoldo, Gianluca Neglia, Angela Salzano, et al.. (2023). Reliable use of smart cameras for monitoring biometric parameters in buffalo precision livestock farming. ACTA IMEKO. 12(4). 1–7. 2 indexed citations
3.
Davino, Cristina, et al.. (2023). Testing heterogeneity in quantile regression: a multigroup approach. Computational Statistics. 39(1). 117–140.
4.
Davino, Cristina, Rosaria Romano, & Domenico Vistocco. (2022). Handling multicollinearity in quantile regression through the use of principal component regression. METRON. 80(2). 153–174. 20 indexed citations
5.
Vistocco, Domenico, et al.. (2022). Attachment to Peers and Parents in Italian Catholic Seminarians: Associations with Identity and Well-Being. Journal of Religion and Health. 62(2). 1114–1135. 2 indexed citations
6.
Vistocco, Domenico, et al.. (2021). Impact of organic and “protected designation of origin” labels in the perception of olive oil sensory quality. British Food Journal. 123(8). 2641–2669. 19 indexed citations
7.
Dolce, Pasquale, Cristina Davino, & Domenico Vistocco. (2021). Quantile composite-based path modeling: algorithms, properties and applications. Advances in Data Analysis and Classification. 16(4). 909–949. 8 indexed citations
8.
Davino, Cristina, et al.. (2021). Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models. Social Indicators Research. 157(3). 1179–1201. 20 indexed citations
9.
Davino, Cristina, et al.. (2020). Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective. Social Indicators Research. 161(2-3). 907–936. 1 indexed citations
10.
Davino, Cristina, et al.. (2020). Modelling students’ performance in MOOCs: a multivariate approach. Studies in Higher Education. 46(11). 2371–2386. 8 indexed citations
11.
Davino, Cristina, Rosaria Romano, & Domenico Vistocco. (2020). On the use of quantile regression to deal with heterogeneity: the case of multi-block data. Advances in Data Analysis and Classification. 14(4). 771–784. 1 indexed citations
12.
Vistocco, Domenico, et al.. (2018). Quantile Regression: Estimation and Simulation. 21 indexed citations
13.
Rizza, Valeria, et al.. (2018). Effects of the exposure to ultrafine particles on heart rate in a healthy population. The Science of The Total Environment. 650(Pt 2). 2403–2410. 32 indexed citations
14.
Davino, Cristina, Marilena Furno, & Domenico Vistocco. (2014). Quantile Regression. Wiley series in probability and statistics. 94 indexed citations
15.
Davino, Cristina, Marilena Furno, & Domenico Vistocco. (2013). Quantile Regression: Theory and Applications. CERN Document Server (European Organization for Nuclear Research). 150 indexed citations
16.
Davino, Cristina & Domenico Vistocco. (2013). The evaluation of University educational processes: a quantile regression approach. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Conversano, Claudio & Domenico Vistocco. (2010). Analysis of mutual funds’ management styles: a modeling, ranking and visualizing approach. Journal of Applied Statistics. 37(11). 1825–1845.
18.
Davino, Cristina & Domenico Vistocco. (2008). Quantile Regression for the evaluation of Students Satisfaction. U-PAD Unimc - Open Digital Publications (University of Macerata). 20. 179–196. 3 indexed citations
19.
Conversano, Claudio & Domenico Vistocco. (2004). Model Based Visualization of Portfolio Style Analysis. UNICA IRIS Institutional Research Information System (University of Cagliari). 1. 815–822.
20.
Davino, Cristina, Francesco Molà, Roberta Siciliano, & Domenico Vistocco. (1997). A Statistical Approach to Neural Networks. U-PAD Unimc - Open Digital Publications (University of Macerata). 37–51. 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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