Stefano Galluccio

35 total papers · 438 total citations
20 papers, 290 citations indexed

About

Stefano Galluccio is a scholar working on Finance, Condensed Matter Physics and Mathematical Physics. According to data from OpenAlex, Stefano Galluccio has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 5 papers in Condensed Matter Physics and 4 papers in Mathematical Physics. Recurrent topics in Stefano Galluccio's work include Stochastic processes and financial applications (12 papers), Financial Risk and Volatility Modeling (9 papers) and Financial Markets and Investment Strategies (5 papers). Stefano Galluccio is often cited by papers focused on Stochastic processes and financial applications (12 papers), Financial Risk and Volatility Modeling (9 papers) and Financial Markets and Investment Strategies (5 papers). Stefano Galluccio collaborates with scholars based in France, Switzerland and United States. Stefano Galluccio's co-authors include Jean‐Philippe Bouchaud, Marc Potters, Guido Caldarelli, Matteo Marsili, Andréa Roncoroni, Yi‐Cheng Zhang, Angelo Vulpiani, J.H. Ly, Olivier Scaillet and Yicheng Zhang and has published in prestigious journals such as Physical Review Letters, Journal of Banking & Finance and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Stefano Galluccio

18 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefano Galluccio	159	143	60	51	38	20	290
Aleksejus Kononovičius	178 1.1×	103 0.7×	168 2.8×	22 0.4×	3 0.1×	27	289
Dmitri Finkelshtein	27 0.2×	20 0.1×	56 0.9×	52 1.0×	41 1.1×	43	304
Kiseop Lee	42 0.3×	63 0.4×	35 0.6×	28 0.5×	2 0.1×	26	234
Marina Pireddu	148 0.9×	24 0.2×	94 1.6×	4 0.1×	7 0.2×	40	277
Irene Crimaldi	22 0.1×	29 0.2×	67 1.1×	22 0.4×	4 0.1×	38	206
Tomasz Zastawniak	63 0.4×	86 0.6×	22 0.4×	7 0.1×	3 0.1×	40	233
Denis Villemonais	13 0.1×	91 0.6×	23 0.4×	24 0.5×	20 0.5×	31	278
Pierre Tarrès	10 0.1×	41 0.3×	35 0.6×	31 0.6×	13 0.3×	18	246
Tomoyuki Ichiba	77 0.5×	144 1.0×	18 0.3×	4 0.1×	3 0.1×	18	218
Ming‐Chya Wu	37 0.2×	17 0.1×	59 1.0×	76 1.5×	11 0.3×	29	319

Countries citing papers authored by Stefano Galluccio

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Galluccio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Galluccio

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Galluccio. A scholar is included among the top collaborators of Stefano Galluccio 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 Stefano Galluccio. Stefano Galluccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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