Fernando Seoane

2.8k citations
107 papers · 1.7k · h-index 26

Impact in

  • Physiology top 5%
    • Body Composition Measurement Techniques
    • Non-Invasive Vital Sign Monitoring
    • Advanced Sensor and Energy Harvesting Materials
    • Muscle activation and electromyography studies
    • Microfluidic and Bio-sensing Technologies

Papers in

Fernando Seoane

99 papers receiving 1.6k citations

Peers

Fernando Seoane
Comparison fields: 5 of 136
  • Physiology 491
  • Biomedical Engineering 833
  • Human-Computer Interaction 75
  • Electrical and Electronic Engineering 733
  • Medical Laboratory Technology 17
Replace Shyamal Patel with:
Shyamal Patel United States
Alexandros Pantelopoulos United States
Daniela Lo Presti Italy
Ming-Chun Huang United States
Juha Pärkkä Finland
Marian Walter Germany
María Lindén Sweden
R. Paradiso Italy
Hyung Park South Korea
Andrea Nicolò Italy
Fernando Seoane relative to Shyamal Patel United States Shyamal Patel's profile →
Citations per field
00.5×3.7×
Shyamal Patel · 1×
Citations per year

Countries citing papers authored by Fernando Seoane

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Seoane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 2012109
3 200883
4 201755
5 200954
6 201646
7 201545
8 201840
9 202038
10 201038
11 201836
12 201833
13 201032
14 201131
15 201330
16 201130
17 201130
18 200529
19 200628
20 201527

About Fernando Seoane

Fernando Seoane is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (48 papers), Body Composition Measurement Techniques (41 papers), Hemodynamic Monitoring and Therapy (31 papers), Non-Invasive Vital Sign Monitoring (18 papers), Advanced Sensor and Energy Harvesting Materials (17 papers), Muscle activation and electromyography studies (9 papers), Heart Rate Variability and Autonomic Control (8 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Physiology (491 citations), Biomedical Engineering (833 citations), Human-Computer Interaction (75 citations), Electrical and Electronic Engineering (733 citations) and Medical Laboratory Technology (17 citations). Fernando Seoane has collaborated with scholars based in Sweden, Spain and Algeria. Frequent co-authors include Kaj Lindecrantz, Roberto Gil‐Pita, Javier Ferreira, Rubén Buendía, R. Bragós, Magnus Thordstein, Farhad Abtahi, David Ayllón, Iván Pau and Juan José García Sánchez. Their work appears in journals such as Sensors, Physiological Measurement, IEEE Access, BioMed Research International and IEEE Journal of Biomedical and Health Informatics.

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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