Stefano Foresti

27 papers receiving 466 citations

Peers

Stefano Foresti
Comparison fields: 5 of 85
  • Energy Engineering and Power Technology 51
  • Catalysis 96
  • Statistical and Nonlinear Physics 87
  • Computer Vision and Pattern Recognition 144
  • Medical Laboratory Technology 5
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Wei Dang China
Xiaowei Xu China
Shiyuan Wang United States
Li Bai United States
Pawan Goyal Germany
Jin-Ho Shin South Korea
Feifei Bai Australia
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Gan Zhou China
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Citations per field
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200579
2 201865
3 200665
4 200253
5 200653
6 201729
7 201625
8 201821
9 198918
10 201718
11 199616
12 201710
13 19947
14 20037
15 19916
16 20053
17 20183
18 20083
19
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20072
20 20002

About Stefano Foresti

Stefano Foresti is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics and Computational Mechanics, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Fuel Cells and Related Materials (6 papers), Electrocatalysts for Energy Conversion (6 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Complex Network Analysis Techniques (4 papers), Advanced MRI Techniques and Applications (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (51 citations), Catalysis (96 citations), Statistical and Nonlinear Physics (87 citations), Computer Vision and Pattern Recognition (144 citations) and Medical Laboratory Technology (5 citations). Stefano Foresti has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include James Agutter, Yarden Livnat, Giampaolo Manzolini, Robert F. Erbacher, Gioele Di Marcoberardino, Marco Binotti, V. Sonnad, Dwayne R. Westenskow, Robert G. Loeb and Frank A. Drews. Their work appears in journals such as International Journal of Hydrogen Energy, Fuel Cells, Chemical Engineering and Processing - Process Intensification, Leonardo and International Journal for Numerical Methods in Engineering.

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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