Fernando Quivira

31 total papers · 473 total citations
23 papers, 347 citations indexed

About

Fernando Quivira is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fernando Quivira has authored 23 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Biomedical Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fernando Quivira's work include EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (6 papers) and Microwave Imaging and Scattering Analysis (6 papers). Fernando Quivira is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (6 papers) and Microwave Imaging and Scattering Analysis (6 papers). Fernando Quivira collaborates with scholars based in United States and Türkiye. Fernando Quivira's co-authors include Carey M. Rappaport, Deniz Erdoğmuş, José Á. Martínez-Lorenzo, Toshiaki Koike‐Akino, Ye Wang, Gunar Schirner, Feng Shen, Hooman Nezamfar, Müjdat Çetin and Murat Akçakaya and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Frontiers in Human Neuroscience and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Fernando Quivira

23 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
Fernando Quivira	214	138	80	72	63	23	347
Suleman Mazhar	61 0.3×	99 0.7×	70 0.9×	72 1.0×	25 0.4×	41	374
Stephan Mühlbacher-Karrer	139 0.6×	85 0.6×	8 0.1×	91 1.3×	42 0.7×	23	340
Zhengqing Miao	175 0.8×	76 0.6×	20 0.3×	50 0.7×	16 0.3×	28	394
Junjun Li	95 0.4×	77 0.6×	52 0.7×	17 0.2×	29 0.5×	26	372
Mathew H. Evans	108 0.5×	214 1.6×	18 0.2×	32 0.4×	31 0.5×	15	345
Haitao Wang	144 0.7×	67 0.5×	15 0.2×	128 1.8×	68 1.1×	43	394
A. Debray	161 0.8×	33 0.2×	9 0.1×	104 1.4×	49 0.8×	22	301
Jun Ma	83 0.4×	52 0.4×	25 0.3×	41 0.6×	38 0.6×	25	332
Jiangtao Yang	172 0.8×	37 0.3×	22 0.3×	105 1.5×	48 0.8×	20	350
Grant Ellis	60 0.3×	23 0.2×	41 0.5×	127 1.8×	26 0.4×	28	374

Countries citing papers authored by Fernando Quivira

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Quivira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Quivira

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