Stefano Nembrini

992 total citations · 1 hit paper
12 papers, 646 citations indexed

About

Stefano Nembrini is a scholar working on Economics and Econometrics, Molecular Biology and Health. According to data from OpenAlex, Stefano Nembrini has authored 12 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Economics and Econometrics, 2 papers in Molecular Biology and 1 paper in Health. Recurrent topics in Stefano Nembrini's work include Gene expression and cancer classification (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Stefano Nembrini is often cited by papers focused on Gene expression and cancer classification (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Stefano Nembrini collaborates with scholars based in Italy, United States and Switzerland. Stefano Nembrini's co-authors include Marvin N. Wright, Inke R. König, Mentore Vaccari, Francesco Vitali, Paola Foladori, Francesco Menoncin, Taj Azarian, J. Glenn Morris, Marco Salemi and Carla Mavian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Stefano Nembrini

12 papers receiving 633 citations

Hit Papers

The revival of the Gini importance? 2018 2026 2020 2023 2018 100 200 300 400

Peers

Stefano Nembrini
Sangil Kim South Korea
Zhen Han China
Elena Tuzhilina United States
Liming China
Fariha Sohil Pakistan
Stefano Nembrini
Citations per year, relative to Stefano Nembrini Stefano Nembrini (= 1×) peers Natalie Neumeyer

Countries citing papers authored by Stefano Nembrini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Nembrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Nembrini

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

All Works

12 of 12 papers shown
1.
Nembrini, Stefano, Elisabetta Ceretti, Umberto Gelatti, et al.. (2020). Willingness to pay for risky lifestyles: results from the Pay for Others (PAY4O) study, Italy. Public Health. 182. 179–184. 3 indexed citations
2.
Mavian, Carla, Taylor K. Paisie, Meer T. Alam, et al.. (2020). Toxigenic Vibrio cholerae evolution and establishment of reservoirs in aquatic ecosystems. Proceedings of the National Academy of Sciences. 117(14). 7897–7904. 33 indexed citations
3.
Nembrini, Stefano, et al.. (2019). On the behaviour of permutation‐based variable importance measures in random forest clustering. Journal of Chemometrics. 33(8). 6 indexed citations
4.
Nembrini, Stefano, Qiang An, Yun Zhu, et al.. (2019). Telomere length and cancer mortality in American Indians: the Strong Heart Study. GeroScience. 41(3). 351–361. 15 indexed citations
5.
Nembrini, Stefano. (2019). On the behaviour of permutation‐based variable importance measures in random forest clustering. Journal of Chemometrics. 33(8). 1 indexed citations
6.
Nembrini, Stefano. (2018). On what to permute in test-based approaches for variable importance measures in Random Forests. Bioinformatics. 35(15). 2701–2705. 4 indexed citations
7.
Vaccari, Mentore, Paola Foladori, Stefano Nembrini, & Francesco Vitali. (2018). Benchmarking of energy consumption in municipal wastewater treatment plants – a survey of over 200 plants in Italy. Water Science & Technology. 77(9). 2242–2252. 71 indexed citations
8.
Nembrini, Stefano, Inke R. König, & Marvin N. Wright. (2018). The revival of the Gini importance?. Bioinformatics. 34(21). 3711–3718. 483 indexed citations breakdown →
9.
Menoncin, Francesco & Stefano Nembrini. (2017). Stochastic continuous time growth models that allow for closed form solutions. Journal of Economics. 124(3). 213–241. 7 indexed citations
10.
Rinaldi, Fabrizio, et al.. (2016). Neurological diseases and health care utilization among first-generation immigrants. Journal of Neurology. 263(4). 714–721. 3 indexed citations
11.
Pedrazzani, Roberta, et al.. (2016). Suitability of Sludge Biotic Index (SBI), Sludge Index (SI) and filamentous bacteria analysis for assessing activated sludge process performance: the case of piggery slaughterhouse wastewater. Journal of Industrial Microbiology & Biotechnology. 43(7). 953–964. 12 indexed citations
12.
Nembrini, Stefano, et al.. (2015). Should rheological properties of activated sludge be measured?. SHILAP Revista de lepidopterología. 8 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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