Federico Bassetti

945 total citations
52 papers, 452 citations indexed

About

Federico Bassetti is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Federico Bassetti has authored 52 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Federico Bassetti's work include Bayesian Methods and Mixture Models (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Statistical Methods and Inference (9 papers). Federico Bassetti is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Statistical Methods and Inference (9 papers). Federico Bassetti collaborates with scholars based in Italy, United States and France. Federico Bassetti's co-authors include Roberto Casarin, Giuseppe Toscani, Fabrizio Leisen, Eugenio Regazzini, Francesco Ravazzolo, Daniel Matthes, O. Lubeck, Irene Crimaldi, Antonella Bodini and Anna R. Malacrida and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Federico Bassetti

47 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Bassetti Italy 13 99 80 77 76 62 52 452
Achim Klenke Germany 10 107 1.1× 72 0.9× 153 2.0× 54 0.7× 137 2.2× 35 688
Eric Cator Netherlands 17 64 0.6× 221 2.8× 203 2.6× 15 0.2× 24 0.4× 45 825
J. G. Wendel United States 15 73 0.7× 55 0.7× 87 1.1× 49 0.6× 88 1.4× 18 800
Herb Kunze Canada 14 29 0.3× 93 1.2× 38 0.5× 75 1.0× 9 0.1× 61 603
W. R. van Zwet Netherlands 18 204 2.1× 42 0.5× 582 7.6× 98 1.3× 190 3.1× 49 1.0k
Qimin Zhang China 17 38 0.4× 149 1.9× 15 0.2× 34 0.4× 154 2.5× 153 1.1k
Eugenio Regazzini Italy 16 538 5.4× 89 1.1× 415 5.4× 47 0.6× 103 1.7× 59 873
Nancy L. Garcia Brazil 12 64 0.6× 16 0.2× 104 1.4× 9 0.1× 11 0.2× 53 409
J. Radcliffe United Kingdom 10 96 1.0× 93 1.2× 139 1.8× 12 0.2× 51 0.8× 44 887
Florent Malrieu France 14 30 0.3× 202 2.5× 185 2.4× 16 0.2× 136 2.2× 22 623

Countries citing papers authored by Federico Bassetti

Since Specialization
Citations

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

Fields of papers citing papers by Federico Bassetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Bassetti

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Bassetti. A scholar is included among the top collaborators of Federico Bassetti 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 Federico Bassetti. Federico Bassetti 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.
Bassetti, Federico, Roberto Casarin, & Francesco Ravazzolo. (2017). Bayesian Nonparametric Calibration and Combination of Predictive Distributions. Journal of the American Statistical Association. 113(522). 675–685. 33 indexed citations
2.
Bassetti, Federico & Giuseppe Toscani. (2015). Mean field dynamics of interaction processes with duplication, loss and copy. Mathematical Models and Methods in Applied Sciences. 25(10). 1887–1925. 10 indexed citations
3.
Airoldi, Edoardo M., et al.. (2014). Generalized Species Sampling Priors With Latent Beta Reinforcements. Journal of the American Statistical Association. 109(508). 1466–1480. 20 indexed citations
4.
Bassetti, Federico, Roberto Casarin, & Fabrizio Leisen. (2014). Beta-product dependent Pitman-Yor Process Prior for Bayesian Inference. ARCA (Università Ca' Foscari Venezia). 33 indexed citations
5.
Grilli, Jacopo, Maria Rosaria Romano, Federico Bassetti, & Marco Cosentino Lagomarsino. (2014). Cross-species gene-family fluctuations reveal the dynamics of horizontal transfers. Nucleic Acids Research. 42(11). 6850–6860. 9 indexed citations
6.
Bassetti, Federico, et al.. (2013). Large deviations for the solution of a Kac-type kinetic equation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
7.
Bassetti, Federico, et al.. (2010). Central limit theorem for a class of one-dimensional kinetic equations. Probability Theory and Related Fields. 150(1-2). 77–109. 20 indexed citations
8.
Bassetti, Federico, et al.. (2008). Random Partition model and finitary Bayesian statistical inference. BOA (University of Milano-Bicocca). 88–108.
9.
Bassetti, Federico, Marco Cosentino Lagomarsino, & Salvatore Mandrà. (2007). Exchangeable Random Networks. Project Euclid (Cornell University). 2 indexed citations
10.
Bassetti, Federico, Marco Cosentino Lagomarsino, B. Bassetti, & P. Jona. (2007). Random networks tossing biased coins. Physical Review E. 75(5). 56109–56109. 2 indexed citations
11.
Bassetti, Federico & Eugenio Regazzini. (2005). Asymptotic distribution and robustness of minimum total variation distance estimators. METRON. 55–80. 1 indexed citations
12.
Bassetti, Federico, et al.. (2005). Asymptotic properties and robustness of minimum dissimilarity estimators of location-scale parameters. Теория вероятностей и ее применения. 50(2). 312–330. 3 indexed citations
13.
Bassetti, Federico. (2003). Variable Time-Step Discretization of Degenerate Evolution Equations in Banach Spaces. Numerical Functional Analysis and Optimization. 24(3-4). 391–426. 2 indexed citations
14.
Bassetti, Federico & Kei Davis. (1999). EXPLOITING TEMPORAL LOCALITY IN STENCIL BASED APPLICATIONS. University of North Texas Digital Library (University of North Texas). 1 indexed citations
15.
Bassetti, Federico, Bernd Mohr, & Kei Davis. (1999). Proceedings of the Workshop on Parallel/High-Performance Object-Oriented Scientific Computing (POOSC'99). 1 indexed citations
16.
Bassetti, Federico, David L. Brown, Kei Davis, William D. Henshaw, & Dan Quinlan. (1998). OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing. Conference on High Performance Computing (Supercomputing). 1–9. 10 indexed citations
17.
Lubeck, O., et al.. (1998). An empirical hierarchical memory model based on hardware performance counters. Parallel and Distributed Processing Techniques and Applications. 98(3). 270–2. 3 indexed citations
18.
Bassetti, Federico, Kei Davis, & Daniel J. Quinlan. (1998). Toward Fortran 77 performance from object-oriented C++ scientific frameworks. University of North Texas Digital Library (University of North Texas). 1 indexed citations
19.
Lubeck, O., et al.. (1997). Development and Validation of a Hierarchical Memory Model Incorporating CPU- and Memory-Operation Overlap. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
20.
Lubeck, O., et al.. (1997). Performance evaluation of the SGI Origin2000. University of North Texas Digital Library (University of North Texas). 1–11. 18 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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