Roberto Rocci

943 citations
54 papers · 677 · h-index 16

Impact in

    • Tensor decomposition and applications
    • Statistical Methods and Applications
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Inference

Papers in

Roberto Rocci

48 papers receiving 648 citations

Peers

Roberto Rocci
Comparison fields: 5 of 68
  • Computational Mathematics 129
  • Statistics and Probability 153
  • Artificial Intelligence 360
  • Accounting 26
  • Management Science and Operations Research 27
Replace Michele Gallo with:
Michele Gallo Italy
Anil Chaturvedi United States
Yuchung J. Wang United States
Dean M. Young United States
Jinghua Feng China
Carsten Jentsch Germany
David Chan United States
Heather Battey United Kingdom
Laura Zayatz United States
Roberto Rocci relative to Michele Gallo Italy Michele Gallo's profile →
Citations per field
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Michele Gallo · 1×
Citations per year

Countries citing papers authored by Roberto Rocci

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Rocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Roberto Rocci, 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 Rocci Line = papers co-authored together Roberto Rocci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 201254
3 200751
4 200145
5 200744
6 200229
7 201028
8 200426
9 199724
10 200624
11
Handbook of Cluster Analysis
201521
12 201420
13 200219
14 200519
15 201119
16 200817
17 201216
18 201012
19 201312
20 200211

About Roberto Rocci

Roberto Rocci is a scholar working on Computational Mathematics, Artificial Intelligence, Statistics and Probability, Accounting and Finance, having authored 54 papers that have together received 677 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (19 papers), Tensor decomposition and applications (14 papers), Advanced Clustering Algorithms Research (10 papers), Statistical Methods and Applications (7 papers), Banking stability, regulation, efficiency (3 papers), Financial Distress and Bankruptcy Prediction (3 papers), Banking Sector Performance and Management (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Computational Mathematics (129 citations), Statistics and Probability (153 citations), Artificial Intelligence (360 citations), Accounting (26 citations) and Management Science and Operations Research (27 citations). Roberto Rocci has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Maurizio Vichi, Salvatore Ingrassia, Antonello Maruotti, Jos M. F. ten Berge, Stefano Antonio Gattone, Henk A. L. Kiers, Paolo Giordani, Murray A. Aitkin, Giuseppe Bove and Simone Borra. Their work appears in journals such as Psychometrika, Computational Statistics & Data Analysis, Journal of Computational and Graphical Statistics, Journal of Classification and Statistics and Computing.

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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