Stefano Foresti

23 papers receiving 392 citations

Peers

Stefano Foresti
Comparison fields: 5 of 81
  • Energy Engineering and Power Technology 47
  • Catalysis 86
  • Statistical and Nonlinear Physics 74
  • Medical Laboratory Technology 9
  • Computer Vision and Pattern Recognition 116
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Xiaowei Xu China
J. Jayakumar India
Song Han China
Scarlett Chen United States
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Citations per year

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-authors

The 25 scholars most cited alongside Stefano Foresti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefano Foresti Line = papers co-authored together Stefano Foresti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200562
2 201857
3 200655
4 200251
5 200646
6 201724
7 201622
8 201821
9 201718
10 198917
11 201710
12 19947
13 19916
14 20034
15 20053
16 20183
17 20002
18 20002
19 20022
20
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20071

About Stefano Foresti

Stefano Foresti is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics and Computational Mechanics, having authored 24 papers that have together received 416 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (6 papers), Electrocatalysts for Energy Conversion (6 papers), Data Visualization and Analytics (5 papers), Complex Network Analysis Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Catalysts for Methane Reforming (3 papers), Architecture and Computational Design (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (47 citations), Catalysis (86 citations), Statistical and Nonlinear Physics (74 citations), Medical Laboratory Technology (9 citations) and Computer Vision and Pattern Recognition (116 citations). Stefano Foresti has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include James Agutter, Giampaolo Manzolini, Yarden Livnat, Robert F. Erbacher, Gioele Di Marcoberardino, Marco Binotti, V. Sonnad, Dwayne R. Westenskow, Frank A. Drews and George T. Blike. Their work appears in journals such as International Journal of Hydrogen Energy, Chemical Engineering and Processing - Process Intensification, Fuel Cells, Computer Physics Communications and Leonardo.

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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