Stefano Cabras

3.0k citations
88 papers · 1.3k · h-index 22

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
    • Olfactory and Sensory Function Studies

Papers in

    • Statistical Methods and Bayesian Inference 17
    • Statistical Methods and Inference 16
    • Statistical Distribution Estimation and Applications 9
    • Statistical Methods in Clinical Trials 8
    • Advanced Statistical Methods and Models 5
    • Body Composition Measurement Techniques 7

Stefano Cabras

84 papers receiving 1.3k citations

Peers

Stefano Cabras
Comparison fields: 5 of 163
  • Statistics and Probability 144
  • Sensory Systems 73
  • Nutrition and Dietetics 143
  • Physiology 220
  • Finance 75
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Citations per year

Countries citing papers authored by Stefano Cabras

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Cabras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2 201391
3 201077
4 201172
5 201665
6 200657
7 201450
8 201146
9 201736
10 201734
11 201333
12 200730
13 200928
14 201027
15 201527
16 201227
17 200526
18 201524
19 201124
20 200324

About Stefano Cabras

Stefano Cabras is a scholar working on Statistics and Probability, Physiology, Molecular Biology, Artificial Intelligence and Genetics, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (16 papers), Statistical Distribution Estimation and Applications (9 papers), Statistical Methods in Clinical Trials (8 papers), Body Composition Measurement Techniques (7 papers), Financial Risk and Volatility Modeling (6 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (144 citations), Sensory Systems (73 citations), Nutrition and Dietetics (143 citations), Physiology (220 citations) and Finance (75 citations). Stefano Cabras has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include María Eugenia Castellanos, Marco Leonti, Elisabetta Marini, Caroline S. Weckerle, Laura Casu, Roberto Buffa, Laura Ventura, Andrea C. Rinaldi, Valeria Sogos and Silvia Perra. Their work appears in journals such as Journal of Ethnopharmacology, Bayesian Analysis, PLoS ONE, Journal of Statistical Planning and Inference and Statistical Methods in Medical Research.

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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