Fernando Maya
Impact in
- Analytical Chemistry top 0.1%
- Analytical chemistry methods development
- Electrochemistry top 1%
- Electrochemical Analysis and Applications
Papers in
-
- Analytical chemistry methods development 45
-
- Innovative Microfluidic and Catalytic Techniques Innovation 14
- Microfluidic and Capillary Electrophoresis Applications 14
- Co-authors
- Vı́ctor Cerdà (47 shared papers)José Manuel Estela (20 shared papers)Gemma Turnes Palomino (21 shared papers)Carlos Palomino Cabello (17 shared papers)František Švec (10 shared papers)Rejane M. Frizzarin (4 shared papers)Burkhard Horstkotte (6 shared papers)Milad Ghani (8 shared papers)
In The Last Decade
Fernando Maya
91 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 111
- Analytical Chemistry 1.2k
- Electrochemistry 352
- Inorganic Chemistry 638
- Spectroscopy 756
- Bioengineering 177
Countries citing papers authored by Fernando Maya
This map shows the geographic impact of Fernando Maya'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 Maya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Maya more than expected).
Fields of papers citing papers by Fernando Maya
This network shows the impact of papers produced by Fernando Maya. 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 Maya. The network helps show where Fernando Maya may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Maya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 263 | |
| 2 | 2012 | 111 | |
| 3 | 2022 | 94 | |
| 4 | 2013 | 92 | |
| 5 | 2012 | 84 | |
| 6 | 2015 | 76 | |
| 7 | 2014 | 74 | |
| 8 | 2012 | 72 | |
| 9 | 2011 | 68 | |
| 10 | 2014 | 63 | |
| 11 | 2007 | 62 | |
| 12 | 2019 | 61 | |
| 13 | 2017 | 59 | |
| 14 | 2018 | 58 | |
| 15 | 2019 | 56 | |
| 16 | 2013 | 56 | |
| 17 | 2018 | 53 | |
| 18 | 2018 | 51 | |
| 19 | 2009 | 49 | |
| 20 | 2020 | 48 |
About Fernando Maya
Fernando Maya is a scholar working on Analytical Chemistry, Biomedical Engineering, Materials Chemistry, Inorganic Chemistry and Spectroscopy, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Analytical chemistry methods development (45 papers), Metal-Organic Frameworks: Synthesis and Applications (24 papers), Covalent Organic Framework Applications (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (14 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), Analytical Chemistry and Chromatography (12 papers), Electrochemical Analysis and Applications (11 papers) and Analytical Chemistry and Sensors (9 papers). The work is most often cited by research in Analytical Chemistry (1.2k citations), Electrochemistry (352 citations), Inorganic Chemistry (638 citations), Spectroscopy (756 citations) and Bioengineering (177 citations). Fernando Maya has collaborated with scholars based in Spain, Australia and Iran. Frequent co-authors include Vı́ctor Cerdà, José Manuel Estela, Gemma Turnes Palomino, Carlos Palomino Cabello, František Švec, Rejane M. Frizzarin, Burkhard Horstkotte, Milad Ghani, Luz O. Leal and Michael C. Breadmore. Their work appears in journals such as Talanta, Journal of Chromatography A, Journal of Separation Science, Analytical Chemistry and Microchimica 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.