Giovanni Cerulli

1.6k total citations
58 papers, 984 citations indexed

About

Giovanni Cerulli is a scholar working on Economics and Econometrics, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Giovanni Cerulli has authored 58 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Economics and Econometrics, 18 papers in Statistics and Probability and 6 papers in Management Science and Operations Research. Recurrent topics in Giovanni Cerulli's work include Innovation Policy and R&D (14 papers), Advanced Causal Inference Techniques (14 papers) and Firm Innovation and Growth (12 papers). Giovanni Cerulli is often cited by papers focused on Innovation Policy and R&D (14 papers), Advanced Causal Inference Techniques (14 papers) and Firm Innovation and Growth (12 papers). Giovanni Cerulli collaborates with scholars based in Italy, United States and United Kingdom. Giovanni Cerulli's co-authors include Bianca Potì, Cosimo Magazzino, Marco Ventura, Andrea Filippetti, Roberto Gabriele, Umer Shahzad, Salahuddin Khan, Samuel Asumadu Sarkodie, Ilham Haouas and John Onolame Unuofin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Giovanni Cerulli

54 papers receiving 937 citations

Peers

Giovanni Cerulli
Comparison fields: 5 of 109
  • Economics and Econometrics 642
  • Strategy and Management 132
  • Political Science and International Relations 100
  • Renewable Energy, Sustainability and the Environment 90
  • Accounting 87
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Cristian Barra Italy
Seema Sharma India
Shihe Fu China
Asif Islam United States
Ionel Bostan Romania
Pedro H. C. Sant’Anna United States
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Bei Liu China
Alessandra Voena United States
Thomas Eichner Germany
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Citations per field, relative to Giovanni Cerulli
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Citations per year, relative to Giovanni Cerulli
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Countries citing papers authored by Giovanni Cerulli

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Cerulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Cerulli

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Cerulli. A scholar is included among the top collaborators of Giovanni Cerulli 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 Giovanni Cerulli. Giovanni Cerulli 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
# Work Indexed citations
1 1
2 1
3 13
4 7
5 3
6 35
7 6
8 13
9 0
10
A Super-Learning Machine for Predicting Economic Outcomes
2
11 8
12
SCTREE: Stata module to implement classification trees via optimal pruning, bagging, random forests, and boosting methods
1
13 98
14 12
15 9
16 21
17 40
18 71
19 1
20 11

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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