Francesco Lisi

90 total papers · 1.1k total citations
49 papers, 801 citations indexed

About

Francesco Lisi is a scholar working on Economics and Econometrics, Finance and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Lisi has authored 49 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 19 papers in Finance and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Lisi's work include Complex Systems and Time Series Analysis (16 papers), Financial Risk and Volatility Modeling (14 papers) and Energy Load and Power Forecasting (11 papers). Francesco Lisi is often cited by papers focused on Complex Systems and Time Series Analysis (16 papers), Financial Risk and Volatility Modeling (14 papers) and Energy Load and Power Forecasting (11 papers). Francesco Lisi collaborates with scholars based in Italy, Pakistan and France. Francesco Lisi's co-authors include Silvano Bordignon, Massimiliano Caporin, Ismail Shah, Alfredo Medio, Derek W. Bunn, Bertrand Maillet, Matteo Pelagatti, Marco Sandri, Orietta Nicolis and Giovanna Menardi and has published in prestigious journals such as Applied Energy, Energy Economics and Energies.

In The Last Decade

Francesco Lisi

48 papers receiving 760 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Lisi 364 339 246 211 100 49 801
Foued Saâdaoui 445 1.2× 145 0.4× 135 0.5× 154 0.7× 79 0.8× 62 916
Svetlana Borovkova 374 1.0× 157 0.5× 209 0.8× 315 1.5× 70 0.7× 41 749
Théophilos Papadimitriou 443 1.2× 126 0.4× 240 1.0× 181 0.9× 171 1.7× 96 966
Hongli Niu 527 1.4× 232 0.7× 305 1.2× 141 0.7× 20 0.2× 40 844
Rongda Chen 506 1.4× 102 0.3× 188 0.8× 278 1.3× 50 0.5× 67 994
Achilleas Zapranis 315 0.9× 154 0.5× 296 1.2× 191 0.9× 32 0.3× 38 964
Tae Yoon Kim 301 0.8× 125 0.4× 460 1.9× 284 1.3× 66 0.7× 79 1.0k
Hamed Ghoddusi 431 1.2× 150 0.4× 117 0.5× 74 0.4× 71 0.7× 47 724
Dean Fantazzini 366 1.0× 58 0.2× 130 0.5× 293 1.4× 72 0.7× 61 785
Guglielmo D’Amico 192 0.5× 274 0.8× 137 0.6× 293 1.4× 31 0.3× 122 950

Countries citing papers authored by Francesco Lisi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Lisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Lisi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Lisi. A scholar is included among the top collaborators of Francesco Lisi 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 Lisi. Francesco Lisi 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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