Francesco Bartolucci

3.6k citations
151 papers · 2.2k indexed · h-index 26
Topics
Statistical Methods and Bayesian Inference (52 papers)Bayesian Methods and Mixture Models (42 papers)Statistical Methods and Inference (39 papers)
Partner nations
ItalyGermanySwitzerland

In The Last Decade

Francesco Bartolucci

142 papers receiving 2.1k citations

Peers

Francesco Bartolucci
Comparison fields: 5 of 169
  • Statistics and Probability 821
  • Artificial Intelligence 610
  • Economics and Econometrics 303
  • Management Science and Operations Research 233
  • Sociology and Political Science 203
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Bartolucci

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Bartolucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Bartolucci

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bartolucci. A scholar is included among the top collaborators of Francesco Bartolucci 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 Francesco Bartolucci. Francesco Bartolucci 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 0
6 1
7 2
8 21
9
GDP Dynamics and Unemployment Changes in Developed and Developing Countries
2
10 6
11 7
12 3
13 6
14 4
15
Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator
1
16
Inverse probability weighting to estimate causal effects of sequential treatments: a latent class extension to deal with unobserved confounding
1
17 27
18
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
14
19
An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints
42
20 22

About Francesco Bartolucci

Francesco Bartolucci is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 151 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (52 papers), Bayesian Methods and Mixture Models (42 papers) and Statistical Methods and Inference (39 papers). The work is most often cited by research in Statistics and Probability (821 citations), Artificial Intelligence (610 citations) and Management Science and Operations Research (233 citations). Francesco Bartolucci has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Alessio Farcomeni, Fulvia Pennoni, Silvia Bacci, Antonio Forcina, Michela Gnaldi, Luisa Scaccia, R. Franchy, Stefano Federici, Simone Borsci and Manuela Chiavarini. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of the American Statistical Association.

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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