Luca De Angelis

996 citations
37 papers · 641 indexed · 1 hit paper · h-index 14
Topics
Nuclear physics research studies (7 papers)Market Dynamics and Volatility (7 papers)Sports Analytics and Performance (6 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchPhysics Letters B
Partner nations
ItalyUnited KingdomChina

In The Last Decade

Luca De Angelis

30 papers receiving 607 citations

Hit Papers

Blind to carbon risk? An analysis of stock market reactio...2020202620222024202050100150200

Peers

Luca De Angelis
Comparison fields: 5 of 87
  • Economics and Econometrics 361
  • Finance 182
  • Nuclear and High Energy Physics 150
  • Strategy and Management 56
  • Sociology and Political Science 55
Replace Dmitry Orlov with:
Dmitry Orlov United States
Martin Weidner United Kingdom
Ram N. Acharya United States
Lu Wei China
Jesús Marı́n-Solano Spain
Michael Norman United Kingdom
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Michal Fabinger Japan
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Luca De Angelis relative to Dmitry Orlov United States Dmitry Orlov's profile →
Citations per field
00.5×4.8×
Dmitry Orlov · 1×
Citations per year

Countries citing papers authored by Luca De Angelis

Since Specialization
Citations

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

Fields of papers citing papers by Luca De Angelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca De Angelis. 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 Luca De Angelis. The network helps show where Luca De Angelis may publish in the future.

Co-authorship network of co-authors of Luca De Angelis

This figure shows the co-authorship network connecting the top 25 collaborators of Luca De Angelis. A scholar is included among the top collaborators of Luca De Angelis 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 Luca De Angelis. Luca De Angelis 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 0
2 0
3 5
4 2
5 0
6 9
7 30
8 0
9 46
10 1
11 2
12 30
13 15
14 12
15 4
16 0
17 24
18 8
19
Qualcosa di più intimo : aspetti della scrittura ebraica del Novecento italiano: da Svevo a Bassani
0
20
Optimal designs with a single two-level factor and n autocorrelated observations
2

About Luca De Angelis

Luca De Angelis is a scholar working on Finance, Health Informatics and Nuclear and High Energy Physics, having authored 37 papers that have together received 641 indexed citations. Recurring topics across this work include Nuclear physics research studies (7 papers), Market Dynamics and Volatility (7 papers) and Sports Analytics and Performance (6 papers). The work is most often cited by research in Finance (182 citations), Economics and Econometrics (361 citations) and Nuclear and High Energy Physics (150 citations). Luca De Angelis has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Irene Monasterolo, Giovanni Angelini, Tokuro Fukui, A. Gargano, L. Coraggio, N. Itaco, Leonard J. Paas, José G. Dias, F. R. Xu and Y. Z.. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Physics Letters B.

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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