Lorenzo Peccati

55 total papers · 784 total citations
29 papers, 498 citations indexed

About

Lorenzo Peccati is a scholar working on Finance, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Lorenzo Peccati has authored 29 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Finance, 9 papers in Strategy and Management and 7 papers in Management Science and Operations Research. Recurrent topics in Lorenzo Peccati's work include Capital Investment and Risk Analysis (12 papers), Financial Reporting and Valuation Research (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Lorenzo Peccati is often cited by papers focused on Capital Investment and Risk Analysis (12 papers), Financial Reporting and Valuation Research (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Lorenzo Peccati collaborates with scholars based in Italy and United States. Lorenzo Peccati's co-authors include Emanuele Borgonovo, Elisa Luciano, Antonella Basso, Donato Michele Cifarelli, Stefano Gatti, Luigi Montrucchio, Donato Masciandaro, Sandro Salsa, Aldo Tagliani and Luca Ghezzi and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Applied Mathematics and Computation.

In The Last Decade

Lorenzo Peccati

27 papers receiving 470 citations

Author Peers

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

Author						Papers	Cites
Lorenzo Peccati	160	148	142	142	92	29	498
John M. Charnes	216 1.4×	149 1.0×	107 0.8×	63 0.4×	152 1.7×	38	604
Dexiang Wu	70 0.4×	333 2.3×	162 1.1×	171 1.2×	91 1.0×	28	615
Nalân Gülpınar	147 0.9×	281 1.9×	48 0.3×	60 0.4×	140 1.5×	40	598
Frank Lefley	130 0.8×	149 1.0×	173 1.2×	109 0.8×	61 0.7×	40	549
Burton V. Dean	64 0.4×	181 1.2×	84 0.6×	90 0.6×	85 0.9×	54	483
Ted Eschenbach	109 0.7×	76 0.5×	91 0.6×	28 0.2×	56 0.6×	64	513
Edward W. Sun	264 1.6×	131 0.9×	48 0.3×	83 0.6×	310 3.4×	44	619
Bardia Kamrad	247 1.5×	116 0.8×	201 1.4×	244 1.7×	141 1.5×	24	592
Raquel Flórez‐López	53 0.3×	120 0.8×	131 0.9×	117 0.8×	52 0.6×	40	508
N. C. P. Edirisinghe	124 0.8×	312 2.1×	87 0.6×	100 0.7×	138 1.5×	19	516

Countries citing papers authored by Lorenzo Peccati

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Peccati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Peccati

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