Marco Ragone

801 citations
19 papers · 634 · h-index 9

Impact in

    • Advanced Battery Technologies Research
    • Electric and Hybrid Vehicle Technologies
    • Advancements in Battery Materials
    • Advanced Battery Materials and Technologies
    • Advanced battery technologies research
    • Electric Vehicles and Infrastructure

Papers in

Marco Ragone

18 papers receiving 626 citations

Peers

Marco Ragone
Comparison fields: 5 of 54
  • Automotive Engineering 392
  • Electrical and Electronic Engineering 516
  • Structural Biology 12
  • Metals and Alloys 6
  • Materials Chemistry 72
Replace Peter J. Weddle with:
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Citations per field
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Citations per year

Countries citing papers authored by Marco Ragone

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ragone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Marco Ragone, 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 Marco Ragone Line = papers co-authored together Marco Ragone links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019283
2 2020113
3 202064
4 202037
5 202432
6 202327
7 202023
8 202118
9 202114
10 20245
11 20203
12 20223
13 20223
14 20223
15 20223
16
Data-driven prediction of vortical structures in turbulent flows employing deep learning techniques
20191
17 20201
18 20221
19 20200

About Marco Ragone

Marco Ragone is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Materials Chemistry, Statistical and Nonlinear Physics and Computational Mechanics, having authored 19 papers that have together received 634 indexed citations. Recurring topics across this work include Advancements in Battery Materials (13 papers), Advanced Battery Technologies Research (12 papers), Advanced Battery Materials and Technologies (6 papers), Machine Learning in Materials Science (4 papers), Electric Vehicles and Infrastructure (2 papers), High Entropy Alloys Studies (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Reliability and Maintenance Optimization (2 papers). The work is most often cited by research in Automotive Engineering (392 citations), Electrical and Electronic Engineering (516 citations), Structural Biology (12 citations), Metals and Alloys (6 citations) and Materials Chemistry (72 citations). Marco Ragone has collaborated with scholars based in United States and Germany. Frequent co-authors include Vitaliy Yurkiv, Farzad Mashayek, Ajaykrishna Ramasubramanian, Reza Shahbazian‐Yassar, Tara Foroozan, Babak Kashir, Vahid Jabbari, Boao Song, Lance Long and Mahmoud Tamadoni Saray. Their work appears in journals such as The Journal of Physical Chemistry C, Computational Materials Science, Journal of Power Sources, Progress in Materials Science and Journal of The Electrochemical Society.

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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