Francis Perton

31 total papers · 1.8k total citations
24 papers, 1.5k citations indexed

About

Francis Perton is a scholar working on Electrical and Electronic Engineering, Biomaterials and Automotive Engineering. According to data from OpenAlex, Francis Perton has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Biomaterials and 7 papers in Automotive Engineering. Recurrent topics in Francis Perton's work include Nanoparticle-Based Drug Delivery (10 papers), Advancements in Battery Materials (9 papers) and Advanced Battery Technologies Research (7 papers). Francis Perton is often cited by papers focused on Nanoparticle-Based Drug Delivery (10 papers), Advancements in Battery Materials (9 papers) and Advanced Battery Technologies Research (7 papers). Francis Perton collaborates with scholars based in France, Switzerland and United Kingdom. Francis Perton's co-authors include M. Broussely, P. Biensan, Jean-Paul Pérès, Claude Delmas, Aline Rougier, A. de Guibert, P. Willmann, Bernard Simon, J.-J. Labat and Sylvie Bégin‐Colin and has published in prestigious journals such as Chemistry of Materials, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Francis Perton

23 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Francis Perton 1.1k 514 274 229 187 24 1.5k
Xin Ai 1.2k 1.1× 333 0.6× 285 1.0× 397 1.7× 224 1.2× 26 1.5k
Nicholas J. Weadock 1.4k 1.2× 306 0.6× 400 1.5× 471 2.1× 143 0.8× 23 1.8k
Jun Peng 904 0.8× 323 0.6× 399 1.5× 421 1.8× 127 0.7× 42 1.5k
Ramasubramonian Deivanayagam 1000 0.9× 386 0.8× 288 1.1× 362 1.6× 85 0.5× 21 1.4k
Chixia Tian 1.3k 1.1× 599 1.2× 465 1.7× 256 1.1× 223 1.2× 18 1.8k
Guanjie Xu 1.2k 1.0× 339 0.7× 194 0.7× 629 2.7× 154 0.8× 19 1.3k
Roberta A. Meisner 1.4k 1.2× 465 0.9× 378 1.4× 383 1.7× 383 2.0× 26 1.7k
Yuanzheng Long 1.2k 1.0× 440 0.9× 293 1.1× 183 0.8× 121 0.6× 34 1.5k
Qiao Shi 916 0.8× 502 1.0× 185 0.7× 245 1.1× 66 0.4× 27 1.2k
Forrest S. Gittleson 1.2k 1.0× 340 0.7× 366 1.3× 297 1.3× 204 1.1× 30 1.6k

Countries citing papers authored by Francis Perton

Since Specialization
Citations

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

Fields of papers citing papers by Francis Perton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Perton

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