Ernesto Salinelli

68 total papers · 633 total citations
22 papers, 414 citations indexed

About

Ernesto Salinelli is a scholar working on Statistics and Probability, Modeling and Simulation and Finance. According to data from OpenAlex, Ernesto Salinelli has authored 22 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Modeling and Simulation and 5 papers in Finance. Recurrent topics in Ernesto Salinelli's work include COVID-19 epidemiological studies (6 papers), Advanced Statistical Methods and Models (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Ernesto Salinelli is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Advanced Statistical Methods and Models (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Ernesto Salinelli collaborates with scholars based in Italy, France and Sweden. Ernesto Salinelli's co-authors include Alberto d’Onofrio, Piero Manfredi, Aldo Goia, Frédéric Ferraty, Carlo Sgarra, Franco Tomarelli, Piero Poletti, Fabio Bellini, Stefano Serra‐Capizzano and Pascal Sarda and has published in prestigious journals such as The Annals of Statistics, Technological Forecasting and Social Change and Vaccine.

In The Last Decade

Ernesto Salinelli

22 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ernesto Salinelli	215	172	85	71	66	22	414
K. Wickwire	265 1.2×	222 1.3×	60 0.7×	14 0.2×	72 1.1×	22	486
Francisco José Santonja Gómez	124 0.6×	145 0.8×	28 0.3×	12 0.2×	78 1.2×	47	465
Tamer Oraby	174 0.8×	76 0.4×	26 0.3×	37 0.5×	50 0.8×	43	480
Supriya Mukherjee	203 0.9×	138 0.8×	27 0.3×	26 0.4×	60 0.9×	34	419
Necibe Tuncer	233 1.1×	203 1.2×	90 1.1×	40 0.6×	75 1.1×	39	472
David Sirl	197 0.9×	132 0.8×	48 0.6×	15 0.2×	38 0.6×	25	391
Suwardi Annas	246 1.1×	127 0.7×	18 0.2×	10 0.1×	26 0.4×	34	410
Peng Wu	190 0.9×	228 1.3×	109 1.3×	7 0.1×	31 0.5×	68	429
D. Michael Goedecke	265 1.2×	103 0.6×	16 0.2×	4 0.1×	136 2.1×	10	431
Rinaldo B. Schinazi	58 0.3×	86 0.5×	61 0.7×	118 1.7×	16 0.2×	45	394

Countries citing papers authored by Ernesto Salinelli

Since Specialization

Citations

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

Fields of papers citing papers by Ernesto Salinelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernesto Salinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Ernesto Salinelli. A scholar is included among the top collaborators of Ernesto Salinelli 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 Ernesto Salinelli. Ernesto Salinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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