Emanuela Dreassi

681 citations
56 papers · 416 · h-index 11

Impact in

Papers in

Emanuela Dreassi

54 papers receiving 406 citations

Peers

Emanuela Dreassi
Comparison fields: 5 of 90
  • Statistics and Probability 120
  • Health 41
  • Economics and Econometrics 131
  • Management Science and Operations Research 48
  • Demography 44
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Citations per field
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Citations per year

Countries citing papers authored by Emanuela Dreassi

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Dreassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200340
2 201429
3 200627
4 200126
5 200521
6 201316
7 201914
8 202213
9 200712
10 201412
11 200611
12 201610
13 200910
14 202010
15 20089
16 20059
17 20069
18 20019
19 20039
20
[Socioeconomic inequalities in health in the Tuscany Longitudinal Study (SLTO): persistence and changes over time in overall mortality and selected causes (lung cancer, liver cirrhosis, AIDS and overdose)].
19998

About Emanuela Dreassi

Emanuela Dreassi is a scholar working on Statistics and Probability, Economics and Econometrics, Epidemiology, Artificial Intelligence and Genetics, having authored 56 papers that have together received 416 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Spatial and Panel Data Analysis (11 papers), Statistical Methods and Inference (10 papers), Bayesian Methods and Mixture Models (8 papers), Data-Driven Disease Surveillance (7 papers), Genetic and phenotypic traits in livestock (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Health disparities and outcomes (6 papers). The work is most often cited by research in Statistics and Probability (120 citations), Health (41 citations), Economics and Econometrics (131 citations), Management Science and Operations Research (48 citations) and Demography (44 citations). Emanuela Dreassi has collaborated with scholars based in Italy, United Kingdom and Iran. Frequent co-authors include Annibale Biggeri, Corrado Lagazio, Dolores Catelan, Nicola Salvati, Maria Giovanna Ranalli, Patrizia Berti, Pietro Rigo, Alessandro Innocenti, Dario Melita and Giuseppe Cringoli. Their work appears in journals such as Aesthetic Plastic Surgery, Biometrical Journal, Statistical Methods in Medical Research, Statistical Modelling 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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