Pedro Gomis

657 citations
58 papers · 471 · h-index 11

Impact in

Papers in

Pedro Gomis

51 papers receiving 453 citations

Peers

Pedro Gomis
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 369
  • Cognitive Neuroscience 61
  • Complementary and alternative medicine 20
  • Biomedical Engineering 99
  • Signal Processing 20
Replace Laurence Keselbrener with:
Laurence Keselbrener Israel
Alba Martín-Yebra Spain
Abdul Q. Javaid United States
Mohammad Karimi Moridani Iran
Hyung-Ro Yoon South Korea
Violeta Monasterio Spain
Alfredo Hernández France
Sumche Man Netherlands
Maciej Sosnowski Poland
Argentina Leite Portugal
Pedro Gomis relative to Laurence Keselbrener Israel Laurence Keselbrener's profile →
Citations per field
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Laurence Keselbrener · 1×
Citations per year

Countries citing papers authored by Pedro Gomis

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Gomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 199749
3 200747
4 199745
5 201632
6 201015
7 200215
8 201814
9 200912
10 200611
11 199510
12 20219
13 20219
14 20189
15 20179
16 20118
17 20187
18 20066
19 20026
20 20195

About Pedro Gomis

Pedro Gomis is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience and Economics and Econometrics, having authored 58 papers that have together received 471 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (34 papers), ECG Monitoring and Analysis (32 papers), Heart Rate Variability and Autonomic Control (21 papers), Non-Invasive Vital Sign Monitoring (4 papers), EEG and Brain-Computer Interfaces (4 papers), Complex Systems and Time Series Analysis (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (369 citations), Cognitive Neuroscience (61 citations), Complementary and alternative medicine (20 citations), Biomedical Engineering (99 citations) and Signal Processing (20 citations). Pedro Gomis has collaborated with scholars based in Spain, United States and Venezuela. Frequent co-authors include P. Caminal, Edward J. Berbari, P. Lander, Eduard Guasch, Alexandre Perera-Lluna, Lluı́s Mont, Galen S. Wagner, Paul Lander, Douglas L. Jones and Ralph Lazzara. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement, Circulation, Advances in experimental medicine and biology and Artificial Intelligence in Medicine.

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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