Rosa Arboretti

1.9k citations
92 papers · 1.4k · h-index 19

Impact in

Papers in

Rosa Arboretti

78 papers receiving 1.4k citations

Peers

Rosa Arboretti
Comparison fields: 5 of 176
  • Complementary and Manual Therapy 166
  • Tourism, Leisure and Hospitality Management 55
  • Statistics and Probability 142
  • Internal Medicine 53
  • Hematology 152
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Thompson United States
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Citations per field
00.5×5×10×15×20×23.7×
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Citations per year

Countries citing papers authored by Rosa Arboretti

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Arboretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rosa Arboretti, 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 Rosa Arboretti Line = papers co-authored together Rosa Arboretti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998239
2 201084
3 202182
4 200976
5 200766
6 202165
7 201652
8 201549
9 200146
10 200943
11 200840
12 201639
13 202038
14 201427
15 202125
16 201523
17 202121
18 200820
19 201620
20 201719

About Rosa Arboretti

Rosa Arboretti is a scholar working on Statistics and Probability, Management Science and Operations Research, Tourism, Leisure and Hospitality Management, Complementary and Manual Therapy and Statistics, Probability and Uncertainty, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Optimal Experimental Design Methods (20 papers), Advanced Statistical Methods and Models (17 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Distribution Estimation and Applications (8 papers), Wine Industry and Tourism (7 papers), Sensory Analysis and Statistical Methods (7 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Complementary and Manual Therapy (166 citations), Tourism, Leisure and Hospitality Management (55 citations), Statistics and Probability (142 citations), Internal Medicine (53 citations) and Hematology (152 citations). Rosa Arboretti has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Luigi Salmaso, Stefano Bonnini, Daniele Manfredini, Luca Guarda‐Nardini, Livio Corain, Augusto Filippo Di Castelnuovo, Concetta Amore, Peter de Knijff, Andria D’Orazio and Cornelis Kluft. Their work appears in journals such as Statistical Methods in Medical Research, Journal of Multivariate Analysis, Statistical Papers, British Food Journal and Journal of Statistical Computation and Simulation.

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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