Roberto Colombi

732 total citations
37 papers, 398 citations indexed

About

Roberto Colombi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Roberto Colombi has authored 37 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Roberto Colombi's work include Statistical Methods and Bayesian Inference (10 papers), Bayesian Modeling and Causal Inference (10 papers) and Advanced Statistical Methods and Models (10 papers). Roberto Colombi is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Bayesian Modeling and Causal Inference (10 papers) and Advanced Statistical Methods and Models (10 papers). Roberto Colombi collaborates with scholars based in Italy, Germany and United States. Roberto Colombi's co-authors include Giorgio Vittadini, Gianmaria Martini, Subal C. Kumbhakar, Antonio Forcina, Sabrina Giordano, Francesco Bartolucci, Manuela Cazzaro, Maria Iannario, Anna Gottard and Gerhard Tutz and has published in prestigious journals such as Biometrika, Journal of Statistical Software and Health Economics.

In The Last Decade

Roberto Colombi

33 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Colombi Italy 8 193 159 105 69 37 37 398
T.D. Mount United States 13 55 0.3× 199 1.3× 43 0.4× 9 0.1× 19 0.5× 39 672
Anastasios Panagiotelis Australia 13 224 1.2× 185 1.2× 122 1.2× 108 1.6× 2 0.1× 25 602
Hiroki Tsurumi United States 13 43 0.2× 177 1.1× 112 1.1× 25 0.4× 10 0.3× 49 425
Darrell A. Turkington Australia 7 39 0.2× 135 0.8× 107 1.0× 42 0.6× 7 0.2× 16 342
Jeremy Penzer United Kingdom 8 50 0.3× 80 0.5× 39 0.4× 33 0.5× 9 0.2× 24 220
John Xu Zheng United States 5 54 0.3× 140 0.9× 323 3.1× 47 0.7× 5 0.1× 6 486
Hideo Kozumi Japan 8 46 0.2× 104 0.7× 267 2.5× 164 2.4× 4 0.1× 16 462
Juan M. Rodríguez‐Póo Spain 12 49 0.3× 198 1.2× 154 1.5× 27 0.4× 5 0.1× 43 409
I Nyoman Budiantara Indonesia 14 48 0.2× 144 0.9× 215 2.0× 86 1.2× 109 2.9× 140 674

Countries citing papers authored by Roberto Colombi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Colombi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Colombi

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Colombi. A scholar is included among the top collaborators of Roberto Colombi 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 Roberto Colombi. Roberto Colombi 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.
Colombi, Roberto, Sabrina Giordano, & Maria Kateri. (2023). Hidden Markov models for longitudinal rating data with dynamic response styles. Statistical Methods & Applications. 1 indexed citations
2.
Colombi, Roberto, Sabrina Giordano, Anna Gottard, & Maria Iannario. (2018). Hierarchical marginal models with latent uncertainty. Scandinavian Journal of Statistics. 46(2). 595–620. 8 indexed citations
3.
Colombi, Roberto, Gianmaria Martini, & Giorgio Vittadini. (2017). Determinants of transient and persistent hospital efficiency: The case of Italy. Health Economics. 26(S2). 5–22. 50 indexed citations
4.
Colombi, Roberto & Antonio Forcina. (2016). Latent class models for ecological inference on voters transitions. Statistical Methods & Applications. 25(4). 501–517. 1 indexed citations
5.
Colombi, Roberto & Sabrina Giordano. (2016). A class of mixture models for multidimensional ordinal data. Statistical Modelling. 16(4). 322–340. 9 indexed citations
6.
Colombi, Roberto & Sabrina Giordano. (2015). Multiple hidden Markov models for categorical time series. Journal of Multivariate Analysis. 140. 19–30. 2 indexed citations
7.
Cazzaro, Manuela & Roberto Colombi. (2014). Marginal Nested Interactions for Contingency Tables. Communication in Statistics- Theory and Methods. 43(13). 2799–2814. 5 indexed citations
8.
Colombi, Roberto, Subal C. Kumbhakar, Gianmaria Martini, & Giorgio Vittadini. (2014). Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency. Journal of Productivity Analysis. 42(2). 123–136. 166 indexed citations
9.
Colombi, Roberto & Antonio Forcina. (2013). Modellizzazione di dati discreti con vincoli di uguaglianza e disuguaglianza. Università degli Studi di Bologna. 60(2). 195–214.
10.
Colombi, Roberto. (2013). The uniform difference association-multivariate Logit model. Università degli Studi di Bologna. 57(1). 3–20.
11.
Colombi, Roberto & Sabrina Giordano. (2012). Graphical models for multivariate Markov chains. Journal of Multivariate Analysis. 107. 90–103. 4 indexed citations
12.
Colombi, Roberto & Sabrina Giordano. (2011). Testing lumpability for marginal discrete hidden Markov models. AStA Advances in Statistical Analysis. 95(3). 293–311. 3 indexed citations
13.
Colombi, Roberto. (2010). A Skew Normal Stochastic Frontier Model for Panel Data. Aisberg (University of Bergamo). 10 indexed citations
14.
Cazzaro, Manuela & Roberto Colombi. (2009). Multinomial-Poisson models subject to inequality constraints. Statistical Modelling. 9(3). 215–233. 6 indexed citations
15.
Bartolucci, Francesco, Roberto Colombi, & Antonio Forcina. (2007). An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints. Statistica Sinica. 691–711. 42 indexed citations
16.
Colombi, Roberto & Sabrina Giordano. (2006). ALCUNE INDIPENDENZE CONDIZIONALI NELLE SERIE STORICHE CATEGORIALI BIVARIATE. Statistica. 1(1). 19–38. 1 indexed citations
17.
Cazzaro, Manuela & Roberto Colombi. (2006). Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence. Statistical Methods & Applications. 15(2). 177–190. 4 indexed citations
18.
Colombi, Roberto, et al.. (2002). A Markov driven bivariate logit model. 125–136. 1 indexed citations
19.
Colombi, Roberto. (1998). A multivariate logit model with marginal canonical association. Communication in Statistics- Theory and Methods. 27(12). 2953–2971. 3 indexed citations
20.
Colombi, Roberto. (1995). A class of log-linear models with constrained marginal distributions. Statistical Methods & Applications. 4(2). 147–165. 2 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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