Roberto Pili

34 total papers · 753 total citations
25 papers, 588 citations indexed

About

Roberto Pili is a scholar working on Mechanical Engineering, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Roberto Pili has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 9 papers in Statistical and Nonlinear Physics and 4 papers in Control and Systems Engineering. Recurrent topics in Roberto Pili's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (24 papers), Advanced Thermodynamic Systems and Engines (12 papers) and Advanced Thermodynamics and Statistical Mechanics (9 papers). Roberto Pili is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (24 papers), Advanced Thermodynamic Systems and Engines (12 papers) and Advanced Thermodynamics and Statistical Mechanics (9 papers). Roberto Pili collaborates with scholars based in Germany, Singapore and Denmark. Roberto Pili's co-authors include Christoph Martin Wieland, H. Spliethoff, Alessandro Romagnoli, Fredrik Haglind, Manuel Jiménez-Arreola, Muhammad Imran, Muhammad Usman, Fabio Dal Magro, Srithar Rajoo and Fabian Dawo and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Roberto Pili

24 papers receiving 573 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Pili 512 163 153 49 33 25 588
M. H. Saidi 397 0.8× 153 0.9× 178 1.2× 91 1.9× 34 1.0× 22 536
Piotr Kolasiński 465 0.9× 94 0.6× 119 0.8× 56 1.1× 16 0.5× 48 546
Omendra Kumar Singh 422 0.8× 181 1.1× 181 1.2× 65 1.3× 40 1.2× 17 528
Fabian Dawo 498 1.0× 140 0.9× 168 1.1× 42 0.9× 11 0.3× 20 559
Maogang He 515 1.0× 201 1.2× 128 0.8× 43 0.9× 14 0.4× 20 610
Sergei Gusev 515 1.0× 140 0.9× 109 0.7× 30 0.6× 23 0.7× 33 583
Armando Fontalvo 370 0.7× 150 0.9× 227 1.5× 47 1.0× 19 0.6× 21 537
Liyan Cao 515 1.0× 184 1.1× 112 0.7× 38 0.8× 30 0.9× 12 556
Václav Novotný 443 0.9× 101 0.6× 125 0.8× 64 1.3× 18 0.5× 39 511
Marta Muñoz 392 0.8× 144 0.9× 324 2.1× 64 1.3× 15 0.5× 19 540

Countries citing papers authored by Roberto Pili

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pili

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