Roberto Colombi

732 citations
37 papers · 398 · h-index 8

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 10
    • Advanced Statistical Methods and Models 10
    • Statistical Methods and Inference 5
    • Bayesian Modeling and Causal Inference 10
    • Bayesian Methods and Mixture Models 4

Roberto Colombi

33 papers receiving 368 citations

Peers

Roberto Colombi
Comparison fields: 5 of 69
  • Management Science and Operations Research 193
  • Statistics and Probability 105
  • Economics and Econometrics 159
  • General Agricultural and Biological Sciences 37
  • General Economics, Econometrics and Finance 33
Replace Jeremy Penzer with:
Jeremy Penzer United Kingdom
Anastasios Panagiotelis Australia
T.D. Mount United States
Darrell A. Turkington Australia
Hiroki Tsurumi United States
Juan M. Rodríguez‐Póo Spain
R. Deane Terrell Australia
André Luis Santiago Maia Brazil
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Citations per field
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Citations per year

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-authors

The 11 scholars most cited alongside Roberto Colombi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Colombi Line = papers co-authored together Roberto Colombi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 201750
3 200144
4
An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints
200742
5
A Skew Normal Stochastic Frontier Model for Panel Data
201010
6 20169
7 20188
8 20147
9 20096
10 20145
11 20075
12 20124
13 20064
14 20154
15 20113
16 19983
17 20193
18 20152
19 19952
20
R package hmmm: Hierarchical Multinomial Marginal Models
20142

About Roberto Colombi

Roberto Colombi is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Food Science, having authored 37 papers that have together received 398 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (10 papers), Bayesian Modeling and Causal Inference (10 papers), Multi-Criteria Decision Making (6 papers), Statistical Methods and Inference (5 papers), Sensory Analysis and Statistical Methods (4 papers), Bayesian Methods and Mixture Models (4 papers) and Spatial and Panel Data Analysis (4 papers). The work is most often cited by research in Management Science and Operations Research (193 citations), Statistics and Probability (105 citations), Economics and Econometrics (159 citations), General Agricultural and Biological Sciences (37 citations) and General Economics, Econometrics and Finance (33 citations). Roberto Colombi has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Giorgio Vittadini, Gianmaria Martini, Subal C. Kumbhakar, Antonio Forcina, Sabrina Giordano, Manuela Cazzaro, Francesco Bartolucci, Anna Gottard, Maria Iannario and Gerhard Tutz. Their work appears in journals such as Journal of Multivariate Analysis, Statistical Modelling, Health Economics, Scandinavian Journal of Statistics and Bernoulli.

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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