Riccardo Cesari

68 total papers · 503 total citations
20 papers, 295 citations indexed

About

Riccardo Cesari is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Riccardo Cesari has authored 20 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 7 papers in Economics and Econometrics and 4 papers in Management Science and Operations Research. Recurrent topics in Riccardo Cesari's work include Stochastic processes and financial applications (5 papers), Financial Markets and Investment Strategies (5 papers) and Risk and Portfolio Optimization (4 papers). Riccardo Cesari is often cited by papers focused on Stochastic processes and financial applications (5 papers), Financial Markets and Investment Strategies (5 papers) and Risk and Portfolio Optimization (4 papers). Riccardo Cesari collaborates with scholars based in Italy, United Kingdom and United States. Riccardo Cesari's co-authors include Fabio Panetta, Anna Grazia Quaranta, Pietro Vassallo, Giusèppe Grande, Michele Tumminello, Andrea Consiglio, Paolo Zagaglia, Giorgio Bencivenni, Harry Zheng and Daniele Nanni and has published in prestigious journals such as Journal of Banking & Finance, Organic & Biomolecular Chemistry and Journal of Economic Dynamics and Control.

In The Last Decade

Riccardo Cesari

19 papers receiving 262 citations

Author Peers

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

Author Last Decade Papers Cites
Riccardo Cesari 178 147 94 69 52 20 295
Martine Van Wouwe 190 1.1× 192 1.3× 41 0.4× 82 1.2× 58 1.1× 19 337
Robert Ferstl 90 0.5× 171 1.2× 54 0.6× 50 0.7× 33 0.6× 16 268
Ivilina Popova 232 1.3× 140 1.0× 45 0.5× 45 0.7× 23 0.4× 30 287
Doriana Ruffino 173 1.0× 155 1.1× 52 0.6× 56 0.8× 12 0.2× 17 258
Cyrus A. Ramezani 144 0.8× 126 0.9× 72 0.8× 17 0.2× 27 0.5× 24 298
Yu Jiang 138 0.8× 292 2.0× 43 0.5× 42 0.6× 16 0.3× 22 352
Thomas M. Idzorek 277 1.6× 185 1.3× 128 1.4× 90 1.3× 28 0.5× 35 351
Enrico G. De Giorgi 212 1.2× 188 1.3× 36 0.4× 107 1.6× 18 0.3× 31 332
Wulin Suo 283 1.6× 88 0.6× 37 0.4× 58 0.8× 47 0.9× 19 320
Loredana Ureche‐Rangau 176 1.0× 172 1.2× 60 0.6× 30 0.4× 9 0.2× 32 298

Countries citing papers authored by Riccardo Cesari

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Cesari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Cesari

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