Melchiorre Casisi

28 total papers · 556 total citations
21 papers, 449 citations indexed

About

Melchiorre Casisi is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Melchiorre Casisi has authored 21 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Melchiorre Casisi's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (13 papers), Integrated Energy Systems Optimization (12 papers) and Smart Grid Energy Management (4 papers). Melchiorre Casisi is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (13 papers), Integrated Energy Systems Optimization (12 papers) and Smart Grid Energy Management (4 papers). Melchiorre Casisi collaborates with scholars based in Italy and Spain. Melchiorre Casisi's co-authors include Mauro Reini, Piero Pinamonti, Diego Micheli, Lorenzo Castelli, Luis M. Serra and Miguel A. Lozano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Energy.

In The Last Decade

Melchiorre Casisi

20 papers receiving 437 citations

Author Peers

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

Author						Papers	Cites
Melchiorre Casisi	301	150	118	100	87	21	449
Luca Urbanucci	254 0.8×	142 0.9×	132 1.1×	95 0.9×	87 1.0×	12	456
Morten Boje Blarke	378 1.3×	164 1.1×	124 1.1×	157 1.6×	78 0.9×	14	546
José Ramos	258 0.9×	264 1.8×	126 1.1×	120 1.2×	115 1.3×	15	518
Sylvain Serra	214 0.7×	142 0.9×	125 1.1×	162 1.6×	36 0.4×	34	407
Željko Bogdan	266 0.9×	121 0.8×	52 0.4×	133 1.3×	62 0.7×	29	440
Mohammad Hasan Ghodusinejad	269 0.9×	105 0.7×	77 0.7×	118 1.2×	60 0.7×	20	435
Florian Schlosser	134 0.4×	304 2.0×	87 0.7×	163 1.6×	99 1.1×	32	548
Alberto Poggio	245 0.8×	113 0.8×	147 1.2×	150 1.5×	27 0.3×	24	434
Maike Hennen	355 1.2×	72 0.5×	59 0.5×	81 0.8×	213 2.4×	21	529
Tuula Savola	203 0.7×	160 1.1×	95 0.8×	91 0.9×	92 1.1×	11	408

Countries citing papers authored by Melchiorre Casisi

Since Specialization

Citations

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

Fields of papers citing papers by Melchiorre Casisi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melchiorre Casisi

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