Francesca Caselli

921 citations
42 papers · 504 · h-index 14

Impact in

Papers in

Francesca Caselli

34 papers receiving 424 citations

Peers

Francesca Caselli
Comparison fields: 5 of 57
  • General Economics, Econometrics and Finance 197
  • Economics and Econometrics 356
  • Finance 121
  • Modeling and Simulation 32
  • Gender Studies 28
Replace Gabriele Ciminelli with:
Gabriele Ciminelli United States
Steven Pennings United States
Alfonso Rosolia Italy
Mauricio Cárdenas United States
Florian Dorn Germany
Ahu Yildirmaz United States
Dramane Coulibaly France
Wouter van der Wielen Belgium
Nicolas Petrosky-Nadeau United States
Pablo Glüzmann Argentina
Francesca Caselli relative to Gabriele Ciminelli United States Gabriele Ciminelli's profile →
Citations per field
00.5×8.7×
Gabriele Ciminelli · 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-authors

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

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 202141
3 201933
4 202133
5 201631
6 202130
7 201923
8 202222
9 201621
10 200617
11 201814
12 202113
13 202113
14 201813
15 202013
16 201813
17 201812
18 202012
19 20219
20 20228

About Francesca Caselli

Francesca Caselli is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Modeling and Simulation and Global and Planetary Change, having authored 42 papers that have together received 504 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), Fiscal Policy and Economic Growth (8 papers), COVID-19 Pandemic Impacts (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 (197 citations), Economics and Econometrics (356 citations), Finance (121 citations), Modeling and Simulation (32 citations) and Gender Studies (28 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, John Bluedorn, Ippei Shibata, Niels‐Jakob Hansen, Marina Mendes Tavares and Damiano Sandri. Their work appears in journals such as Journal of International Economics, European Journal of Political Economy, AIDS Patient Care and STDs, International Finance and Review 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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