Stefano Foresti

39 total papers · 593 total citations
24 papers, 416 citations indexed

About

Stefano Foresti is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Stefano Foresti has authored 24 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Stefano Foresti's work include Electrocatalysts for Energy Conversion (6 papers), Fuel Cells and Related Materials (6 papers) and Data Visualization and Analytics (5 papers). Stefano Foresti is often cited by papers focused on Electrocatalysts for Energy Conversion (6 papers), Fuel Cells and Related Materials (6 papers) and Data Visualization and Analytics (5 papers). Stefano Foresti collaborates with scholars based in United States, Italy and Netherlands. Stefano Foresti's co-authors include Giampaolo Manzolini, James Agutter, Yarden Livnat, Robert F. Erbacher, Gioele Di Marcoberardino, Marco Binotti, V. Sonnad, Dwayne R. Westenskow, Frank A. Drews and George T. Blike and has published in prestigious journals such as International Journal of Hydrogen Energy, Computer Physics Communications and International Journal for Numerical Methods in Engineering.

In The Last Decade

Stefano Foresti

23 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Stefano Foresti 116 86 74 68 62 24 416
Wei Dang 26 0.2× 11 0.1× 18 0.2× 58 0.9× 22 0.4× 19 482
Kai Wang 73 0.6× 7 0.1× 22 0.3× 32 0.5× 24 0.4× 47 373
Shiming Xu 18 0.2× 9 0.1× 29 0.4× 32 0.5× 55 0.9× 46 374
Yi Ren 14 0.1× 14 0.2× 22 0.3× 54 0.8× 13 0.2× 28 447
Bo Zhang 24 0.2× 3 0.0× 53 0.7× 34 0.5× 49 0.8× 29 403
Song Han 37 0.3× 45 0.5× 2 0.0× 44 0.6× 163 2.6× 48 490
Wei Yang 16 0.1× 24 0.3× 8 0.1× 27 0.4× 121 2.0× 21 495
Fangzheng Liu 26 0.2× 29 0.3× 5 0.1× 41 0.6× 80 1.3× 27 373
Youssoufi Touré 52 0.4× 22 0.3× 13 0.2× 24 0.4× 8 0.1× 25 432
Fahim Abdullah 3 0.0× 33 0.4× 56 0.8× 55 0.8× 32 0.5× 31 391

Countries citing papers authored by Stefano Foresti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Foresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Foresti

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