Massimo De Francesco

18 total papers · 455 total citations
12 papers, 349 citations indexed

About

Massimo De Francesco is a scholar working on Electrical and Electronic Engineering, Catalysis and Molecular Biology. According to data from OpenAlex, Massimo De Francesco has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Catalysis and 2 papers in Molecular Biology. Recurrent topics in Massimo De Francesco's work include Advanced Battery Materials and Technologies (4 papers), Ionic liquids properties and applications (3 papers) and Advancements in Battery Materials (2 papers). Massimo De Francesco is often cited by papers focused on Advanced Battery Materials and Technologies (4 papers), Ionic liquids properties and applications (3 papers) and Advancements in Battery Materials (2 papers). Massimo De Francesco collaborates with scholars based in Italy, Germany and United States. Massimo De Francesco's co-authors include Giovanni Battista Appetecchi, E. Simonetti, Georg Feger, Alessandra Polissi, Mariangela Bellusci, Enrico Domenici, Rebecca Rimini, Niels Frandsen, Donald M. Wallace and Birger Jansson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Chemical Engineering Journal.

In The Last Decade

Massimo De Francesco

10 papers receiving 338 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo De Francesco 124 103 65 58 52 12 349
Diane M. England 36 0.3× 53 0.5× 62 1.0× 90 1.6× 38 0.7× 10 352
Paul Hartley 53 0.4× 28 0.3× 56 0.9× 30 0.5× 26 0.5× 11 362
Jae Hyuk Hwang 72 0.6× 56 0.5× 63 1.0× 135 2.3× 24 0.5× 19 404
Jie Hu 60 0.5× 25 0.2× 42 0.6× 61 1.1× 11 0.2× 34 307
John Davidson 78 0.6× 21 0.2× 94 1.4× 36 0.6× 42 0.8× 23 343
Jianfa Liu 65 0.5× 130 1.3× 2 0.0× 46 0.8× 84 1.6× 22 384
Chenliang Zhou 80 0.6× 17 0.2× 9 0.1× 38 0.7× 52 1.0× 31 375
Kyuyoung Lee 36 0.3× 13 0.1× 12 0.2× 48 0.8× 29 0.6× 34 402
Isao Matsumoto 44 0.4× 43 0.4× 16 0.2× 3 0.1× 51 1.0× 28 390
Sindhu Ravindran 141 1.1× 6 0.1× 29 0.4× 25 0.4× 64 1.2× 7 319

Countries citing papers authored by Massimo De Francesco

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Francesco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo De Francesco. 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 Massimo De Francesco. The network helps show where Massimo De Francesco may publish in the future.

Co-authorship network of co-authors of Massimo De Francesco

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo De Francesco. A scholar is included among the top collaborators of Massimo De Francesco 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 Massimo De Francesco. Massimo De Francesco 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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