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Researcher · Magna Graecia University · Italy

Ugo Lomoio

Ugo Lomoio publishes mostly in Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence, on topics such as Bioinformatics and Genomic Networks, ECG Monitoring and Analysis and COVID-19 epidemiological studies.

ORCID 0000-0001-8150-0039 OpenAlex
World rank
#3,556,281
of 7,710,434 ranked researchers
Rank in Italy
#120,567
of 242,206
Works
69
Citations
95
Citations per work
1.4
h-index
6
i10-index 3Top 94% in Molecular Biology
Ugo Lomoio

What does Ugo Lomoio research?

Ugo Lomoio's work is mostly in Biochemistry, Genetics and Molecular Biology (23%), Medicine (14%), Computer Science (11%).

Everything else: 25 works · 36.0% of their workLife Sciences: 20 works · 28.5% of their workBiochemistry, Genetics and Molecular Biology: 16 works · 23.4% of their workMolecular Biology: 16 works · 23.4% of their workNeuroscience: 4 works · 5.1% of their workCognitive Neuroscience: 4 works · 5.1% of their workPhysical Sciences: 15 works · 21.6% of their workComputer Science: 7 works · 10.8% of their workArtificial Intelligence: 7 works · 10.8% of their workMathematics: 4 works · 5.7% of their workModeling and Simulation: 4 works · 5.7% of their workPhysics and Astronomy: 4 works · 5.1% of their workStatistical and Nonlinear Physics: 4 works · 5.1% of their workHealth Sciences: 10 works · 13.9% of their workMedicine: 10 works · 13.9% of their workCardiology and Cardiovascular Medicine: 10 works · 13.9% of their workTHEIR WORKUgo Lomoio69works
Life Sciences28%Physical Sciences22%Health Sciences14%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else2536.0%
    1. Biochemistry, Genetics and Molecular Biology1623.4%
    2. Neuroscience45.1%
    1. Computer Science710.8%
    2. Mathematics45.7%
    3. Physics and Astronomy45.1%
    1. Medicine1013.9%
  1. 1Molecular Biology23% of their works
  2. 2Cardiology and Cardiovascular Medicine14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Modeling and Simulation6% of their works
  5. 5Cognitive Neuroscience5% of their works
  6. 6Statistical and Nonlinear Physics5% of their works

Research topics

Which keywords describe Ugo Lomoio's research?

The keywords of their largest research topics: Deep Learning, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Arrhythmia Detection, ECG Signal, Anomaly Detection, Machine Learning and COVID-19.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Deep Learning243 topics
  2. Gene Set Enrichment Analysis151 topic
  3. Protein-Protein Interaction Networks151 topic
  4. Arrhythmia Detection131 topic
  5. ECG Signal131 topic
  6. Anomaly Detection112 topics
  7. Machine Learning102 topics
  8. COVID-1991 topic
  9. Modeling91 topic
  10. Community Structure71 topic
  11. Network Dynamics71 topic
  12. Cardiac Amyloidosis61 topic
  13. Outlier Detection61 topic
  14. Transthyretin61 topic
  15. Unsupervised61 topic
  16. Intrusion Detection51 topic
  17. Molecular Docking51 topic
  18. Network Security51 topic
  19. Virtual Screening51 topic

Where does Ugo Lomoio work?

Ugo Lomoio's main affiliation in the publication record is Magna Graecia University, Italy.

How many publications and citations does Ugo Lomoio have?

OpenAlex counts 69 works and 95 citations for Ugo Lomoio, an h-index of 6, ranking #3,556,281 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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