Francesca Caselli

902 citations
42 papers · 481 indexed · h-index 14

Francesca Caselli

34 papers receiving 400 citations

Peers

Francesca Caselli
Comparison fields: 5 of 56
  • General Economics, Econometrics and Finance 193
  • Economics and Econometrics 346
  • Finance 112
  • Modeling and Simulation 35
  • Gender Studies 26
Replace Niels‐Jakob Hansen with:
Niels‐Jakob Hansen United States
Steven Pennings United States
Gabriele Ciminelli United States
Florian Dorn Germany
Alfonso Rosolia Italy
Tobias Stöhr Germany
Ahu Yildirmaz United States
Dramane Coulibaly France
Wouter van der Wielen Belgium
Timo Wollmershäuser Germany
Francesca Caselli relative to Niels‐Jakob Hansen United States Niels‐Jakob Hansen's profile →
Citations per field
00.5×8.7×
Niels‐Jakob Hansen · 1×
Citations per year

Countries citing papers authored by Francesca Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202221
2 20228
3 20219
4 202113
5 202139
6 20201
7 20206
8 20201
9 202012
10 201923
11 20197
12 201812
13 201813
14 20181
15 201813
16 20174
17 20171
18 20175
19 20116
20 200617

About Francesca Caselli

Francesca Caselli is a scholar working on General Economics, Econometrics and Finance, Modeling and Simulation and Finance, having authored 42 papers that have together received 481 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (16 papers), Fiscal Policies and Political Economy (9 papers), Global Financial Crisis and Policies (9 papers), COVID-19 Pandemic Impacts (8 papers), Fiscal Policy and Economic Growth (8 papers), Market Dynamics and Volatility (7 papers), COVID-19 epidemiological studies (6 papers) and COVID-19 impact on air quality (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (193 citations), Economics and Econometrics (346 citations) and Finance (112 citations). Francesca Caselli has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Julien Reynaud, Francesco Grigoli, Philippe Wingender, Bertrand Gruss, Rudolfs Bems, Marina Mendes Tavares, Damiano Sandri, Ippei Shibata, Niels‐Jakob Hansen and John Bluedorn. Their work appears in journals such as European Journal of Political Economy, Labour Economics, International Finance, AIDS Patient Care and STDs and Journal of International 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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