Fernando Silva

6.9k citations
208 papers · 6.1k · h-index 42

Impact in

    • Electrochemical Analysis and Applications
  • Catalysis top 1%
    • Ionic liquids properties and applications

Papers in

Fernando Silva

206 papers receiving 6.0k citations

Peers

Fernando Silva
Comparison fields: 5 of 150
  • Electrochemistry 2.2k
  • Catalysis 1.2k
  • Bioengineering 896
  • Filtration and Separation 254
  • Analytical Chemistry 524
Replace Carlos M. Pereira with:
Carlos M. Pereira Portugal
Liqiang Zheng China
Li Yu China
Hua Zhao China
Frank Marken United Kingdom
Manuel Palomar‐Pardavé Mexico
Fritz Scholz Germany
Haixiang Gao China
Robert A. Osteryoung United States
Rob Atkin Australia
Fernando Silva relative to Carlos M. Pereira Portugal Carlos M. Pereira's profile →
Citations per field
00.5×1.5×1.8×
Carlos M. Pereira · 1×
Citations per year

Countries citing papers authored by Fernando Silva

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Silva, 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 Fernando Silva Line = papers co-authored together Fernando Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011191
2 2016182
3 2010161
4 2011152
5 2008148
6 2011139
7 2013121
8 2006116
9 2006113
10 2018113
11 2008113
12 200598
13 201996
14 201393
15 199091
16 201786
17 200482
18 201075
19 200770
20 201367

About Fernando Silva

Fernando Silva is a scholar working on Electrochemistry, Electrical and Electronic Engineering, Bioengineering, Catalysis and Molecular Biology, having authored 208 papers that have together received 6.1k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (93 papers), Analytical Chemistry and Sensors (46 papers), Electrochemical sensors and biosensors (42 papers), Ionic liquids properties and applications (35 papers), Conducting polymers and applications (25 papers), Analytical chemistry methods development (22 papers), Molecular Junctions and Nanostructures (16 papers) and Advanced biosensing and bioanalysis techniques (15 papers). The work is most often cited by research in Electrochemistry (2.2k citations), Catalysis (1.2k citations), Bioengineering (896 citations), Filtration and Separation (254 citations) and Analytical Chemistry (524 citations). Fernando Silva has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include Carlos M. Pereira, Renata Costa, José A. Ribeiro, Ana Martins, Manuel Azenha, José M. Campiña, Paula M. V. Fernandes, Mariana Chirea, M. Goreti F. Sales and A. Hamelin. Their work appears in journals such as Electrochimica Acta, Journal of Electroanalytical Chemistry, Journal of Chromatography A, The Journal of Physical Chemistry C and Analytica Chimica Acta.

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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