Salvatore Ercolano

1.1k citations
41 papers · 768 indexed · h-index 12
Topics
COVID-19 Pandemic Impacts (9 papers)COVID-19 epidemiological studies (9 papers)Fiscal Policy and Economic Growth (6 papers)
Partner nations
ItalyGermanyFinland

In The Last Decade

Salvatore Ercolano

39 papers receiving 745 citations

Peers

Salvatore Ercolano
Comparison fields: 5 of 114
  • Economics and Econometrics 383
  • Modeling and Simulation 238
  • Sociology and Political Science 158
  • Clinical Psychology 122
  • Health 85
Replace Feng Hao with:
Feng Hao United States
Sheela Patel India
Bushra Komal China
Christian Ezeibe Nigeria
J. Tom Mueller United States
Timo Mitze Germany
Simon Porcher France
Luqman Shahzad China
Nihit Goyal Singapore
Salvatore Ercolano relative to Feng Hao United States Feng Hao's profile →
Citations per field
00.5×3.3×
Feng Hao · 1×
Citations per year

Countries citing papers authored by Salvatore Ercolano

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Ercolano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Ercolano

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Ercolano. A scholar is included among the top collaborators of Salvatore Ercolano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salvatore Ercolano. Salvatore Ercolano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 5
5 1
6 8
7 5
8 16
9 7
10 10
11 34
12 37
13 331
14 5
15 3
16 14
17 41
18 2
19 2
20 11

About Salvatore Ercolano

Salvatore Ercolano is a scholar working on Modeling and Simulation, Economics and Econometrics and General Decision Sciences, having authored 41 papers that have together received 768 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (9 papers), COVID-19 epidemiological studies (9 papers) and Fiscal Policy and Economic Growth (6 papers). The work is most often cited by research in Modeling and Simulation (238 citations), Economics and Econometrics (383 citations) and Health (85 citations). Salvatore Ercolano has collaborated with scholars based in Italy, Germany and Finland. Frequent co-authors include Vincenzo Alfano, Giuseppe Lucio Gaeta, Lorenzo Cicatiello, Francesco Silvestri, Stefano Ghinoi, Elina De Simone, Salvatore Capasso, Gaetano Vecchione, Giovanni Esposito and Rajeev K. Goel. Their work appears in journals such as Social Science & Medicine, Ecological Economics and Vaccine.

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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