Francesco Sangiorgi

756 citations
24 papers · 467 indexed · h-index 11
Topics
Financial Markets and Investment Strategies (13 papers)Economic theories and models (8 papers)Complex Systems and Time Series Analysis (5 papers)

In The Last Decade

Francesco Sangiorgi

20 papers receiving 441 citations

Peers

Francesco Sangiorgi
Comparison fields: 5 of 35
  • Finance 368
  • Economics and Econometrics 215
  • Accounting 199
  • Management Science and Operations Research 52
  • General Decision Sciences 34
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Justin Birru United States
Wen-I Chuang Taiwan
Han N. Özsöylev Türkiye
Alexandros Benos Greece
Péter Kondor Austria
Constantinos Antoniou United Kingdom
Sophie Moinas France
Valentin Haddad United States
Shuming Liu United States
Geoffrey C. Friesen United States
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Citations per field
00.5×1.7×
Justin Birru · 1×
Citations per year

Countries citing papers authored by Francesco Sangiorgi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Sangiorgi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Sangiorgi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Sangiorgi. A scholar is included among the top collaborators of Francesco Sangiorgi 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 Francesco Sangiorgi. Francesco Sangiorgi 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 2
2 0
3 0
4 9
5 0
6 3
7 53
8 60
9 0
10 10
11 40
12 27
13 38
14 2
15 27
16 76
17 12
18
Small dairies design to improve safety and workers' welfare in mountain areas
1
19 73
20 4

About Francesco Sangiorgi

Francesco Sangiorgi is a scholar working on Finance, General Decision Sciences and Architecture, having authored 24 papers that have together received 467 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Economic theories and models (8 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Finance (368 citations), General Decision Sciences (34 citations) and Accounting (199 citations). Francesco Sangiorgi has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Chester S. Spatt, Diego Garcı́a, Antonio Mele, Jonathan S. Sokobin, Branko Urošević, James Dow, Sergio Santoro and Grigory Vilkov. Their work appears in journals such as Journal of Financial Economics, Management Science and Review of Financial Studies.

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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