Carlos Da Silva

61 total papers · 769 total citations
38 papers, 585 citations indexed

About

Carlos Da Silva is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Carlos Da Silva has authored 38 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 17 papers in Automotive Engineering and 15 papers in Materials Chemistry. Recurrent topics in Carlos Da Silva's work include Advanced Battery Technologies Research (15 papers), Advancements in Battery Materials (12 papers) and 2D Materials and Applications (8 papers). Carlos Da Silva is often cited by papers focused on Advanced Battery Technologies Research (15 papers), Advancements in Battery Materials (12 papers) and 2D Materials and Applications (8 papers). Carlos Da Silva collaborates with scholars based in Canada, Switzerland and United States. Carlos Da Silva's co-authors include Cristina H. Amon, Maan Al‐Zareer, Euro Solari, Rosario Scopelliti, Carlo Floriani, A. K. Nair, Corrado Rizzoli, David A. Romero, Olivier Trescases and Dayan Guimarães and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Carlos Da Silva

36 papers receiving 567 citations

Author Peers

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

Author Last Decade Papers Cites
Carlos Da Silva 255 212 185 97 96 38 585
Evan R. Antoniuk 267 1.0× 301 1.4× 90 0.5× 74 0.8× 103 1.1× 18 551
Zhipeng Cai 291 1.1× 276 1.3× 43 0.2× 121 1.2× 60 0.6× 27 697
Magdalena Zybert 170 0.7× 337 1.6× 70 0.4× 186 1.9× 21 0.2× 50 570
Eriko Yagasaki 175 0.7× 330 1.6× 94 0.5× 25 0.3× 17 0.2× 30 560
Hongge Pan 399 1.6× 209 1.0× 104 0.6× 17 0.2× 38 0.4× 41 583
Michael Rottmayer 390 1.5× 252 1.2× 191 1.0× 64 0.7× 15 0.2× 24 626
Chee Koon Ng 111 0.4× 167 0.8× 41 0.2× 56 0.6× 55 0.6× 25 548
Zhaojie Li 209 0.8× 82 0.4× 63 0.3× 232 2.4× 42 0.4× 43 545
R. Revel 374 1.5× 229 1.1× 351 1.9× 23 0.2× 136 1.4× 20 672
Yong-Seok Kim 319 1.3× 161 0.8× 32 0.2× 15 0.2× 40 0.4× 42 517

Countries citing papers authored by Carlos Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Da Silva. 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 Carlos Da Silva. The network helps show where Carlos Da Silva may publish in the future.

Co-authorship network of co-authors of Carlos Da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Da Silva. A scholar is included among the top collaborators of Carlos Da Silva 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 Carlos Da Silva. Carlos Da Silva 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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2026