Paolo Berta

536 citations
35 papers · 341 · h-index 11

Impact in

Papers in

Paolo Berta

32 papers receiving 321 citations

Peers

Paolo Berta
Comparison fields: 5 of 67
  • General Health Professions 144
  • Economics and Econometrics 151
  • Health Information Management 15
  • Modeling and Simulation 12
  • Finance 24
Replace Robert Nuscheler with:
Robert Nuscheler Germany
Hans Okkels Birk Denmark
Luciana Mendes Santos Servo Brazil
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Iwona Kowalska‐Bobko Poland
Mukesh Chawla United States
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Citations per year

Countries citing papers authored by Paolo Berta

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Berta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200970
2 201634
3 201330
4 201422
5 202121
6 202221
7 201517
8 201812
9 201912
10 201612
11 201611
12 202010
13 20238
14 20187
15 20127
16 20206
17 20226
18 20185
19 20225
20
Optimaliseren van het antibioticabeleid in Nederland. VI. SWAB-advies: geen selectieve decontaminatie bij beademde patiënten op de intensive care
20015

About Paolo Berta

Paolo Berta is a scholar working on General Health Professions, Economics and Econometrics, Modeling and Simulation, Statistics and Probability and Management Science and Operations Research, having authored 35 papers that have together received 341 indexed citations. Recurring topics across this work include Healthcare Policy and Management (11 papers), Global Health Care Issues (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), COVID-19 epidemiological studies (4 papers), Statistical Methods and Inference (4 papers), Efficiency Analysis Using DEA (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Employment and Welfare Studies (3 papers). The work is most often cited by research in General Health Professions (144 citations), Economics and Econometrics (151 citations), Health Information Management (15 citations), Modeling and Simulation (12 citations) and Finance (24 citations). Paolo Berta has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Giorgio Vittadini, Gianmaria Martini, Giuditta Callea, Chiara Seghieri, Francesco Moscone, Rosella Levaggi, Sabina Nuti, Carla Guerriero, John Mullahy and Pietro Giorgio Lovaglio. Their work appears in journals such as Economic Modelling, Journal of the Royal Statistical Society Series A (Statistics in Society), BMC Health Services Research, Health Policy and Empirical Economics.

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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