Andrea Mentrelli

138 total papers · 873 total citations
55 papers, 618 citations indexed

About

Andrea Mentrelli is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Applied Mathematics. According to data from OpenAlex, Andrea Mentrelli has authored 55 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Computational Mechanics and 15 papers in Applied Mathematics. Recurrent topics in Andrea Mentrelli's work include Plasma Diagnostics and Applications (16 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Gas Dynamics and Kinetic Theory (11 papers). Andrea Mentrelli is often cited by papers focused on Plasma Diagnostics and Applications (16 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Gas Dynamics and Kinetic Theory (11 papers). Andrea Mentrelli collaborates with scholars based in Italy, Japan and Spain. Andrea Mentrelli's co-authors include Tommaso Ruggeri, Vittorio Colombo, Emanuele Ghedini, D. Bernardi, Masaru Sugiyama, Nanrong Zhao, Gianni Pagnini, Takashi Arima, Tomaso Trombetti and Andrea Giusti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Physics Communications.

In The Last Decade

Andrea Mentrelli

52 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Mentrelli 200 193 161 124 96 55 618
Ali Bülent Çambel 145 0.7× 214 1.1× 183 1.1× 195 1.6× 149 1.6× 41 641
Daniel A. Erwin 323 1.6× 273 1.4× 90 0.6× 116 0.9× 53 0.6× 46 573
J.D. Teare 329 1.6× 237 1.2× 105 0.7× 162 1.3× 41 0.4× 33 627
Pénélope Leyland 140 0.7× 256 1.3× 133 0.8× 64 0.5× 49 0.5× 78 658
Bruno López 223 1.1× 118 0.6× 123 0.8× 114 0.9× 33 0.3× 36 578
John A. Lordi 267 1.3× 201 1.0× 114 0.7× 99 0.8× 39 0.4× 41 533
V. M. Zhdanov 324 1.6× 142 0.7× 54 0.3× 188 1.5× 37 0.4× 62 574
R.J. Rosa 88 0.4× 152 0.8× 208 1.3× 70 0.6× 41 0.4× 39 600
Markus Fertig 393 2.0× 159 0.8× 164 1.0× 94 0.8× 91 0.9× 69 594
Jae Gang Kim 558 2.8× 304 1.6× 63 0.4× 176 1.4× 62 0.6× 39 697

Countries citing papers authored by Andrea Mentrelli

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Mentrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Mentrelli

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