F. Mora

41 papers receiving 422 citations

Peers

F. Mora
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 257
  • Medical Laboratory Technology 7
  • Signal Processing 52
  • Cognitive Neuroscience 85
  • Health Information Management 16
Replace G. Passariello with:
G. Passariello Venezuela
P. Várady Hungary
J. Habetha Germany
Jianchu Yao United States
D.L. Hudson United States
Allen C. Cheng United States
Jean‐Philippe Couderc United States
Z. Benyó Hungary
Shimeng Huang United States
Seung-Hun Park South Korea
F. Mora relative to G. Passariello Venezuela G. Passariello's profile →
Citations per field
00.5×
G. Passariello · 1×
Citations per year

Countries citing papers authored by F. Mora

Since Specialization
Citations

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

Fields of papers citing papers by F. Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001109
2 199370
3 200147
4 199933
5 200230
6 199515
7 200215
8 199712
9 20009
10 20129
11 20029
12 19868
13 19927
14 20027
15 20246
16 20006
17 19886
18 20026
19 19915
20 20035

About F. Mora

F. Mora is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence and Control and Systems Engineering, having authored 54 papers that have together received 455 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), Cardiac electrophysiology and arrhythmias (11 papers), EEG and Brain-Computer Interfaces (7 papers), Heart Rate Variability and Autonomic Control (5 papers), Fault Detection and Control Systems (5 papers), Trypanosoma species research and implications (5 papers), Healthcare Technology and Patient Monitoring (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (257 citations), Medical Laboratory Technology (7 citations), Signal Processing (52 citations), Cognitive Neuroscience (85 citations) and Health Information Management (16 citations). F. Mora has collaborated with scholars based in Venezuela, France and United States. Frequent co-authors include G. Passariello, Guy Carrault, Alfredo Hernández, Aura Hernández-Sabaté, A. Bardou, Fu Siong Ng, Pedro Gomis, Dirceu Rodrigues Almeida, Generoso Bevilacqua and Sara Wong. Their work appears in journals such as Religions, IEEE Transactions on Biomedical Engineering, Frontiers in Psychiatry, Artificial Intelligence in Medicine and Computer Modeling in Engineering & Sciences.

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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