Mikel Hernandez
Mikel Hernandez publishes mostly in Artificial Intelligence, Computer Networks and Communications and Signal Processing, on topics such as Privacy-Preserving Technologies in Data, Context-Aware Activity Recognition Systems and Scientific Computing and Data Management.
- World rank
- #2,303,835 of 7,710,434 ranked researchers
- Rank in Spain
- #50,067 of 204,306
- Works
- 23
- Citations
- 425
- Citations per work
- 18.5
What does Mikel Hernandez research?
Mikel Hernandez's work is mostly in Computer Science (48%), Biochemistry, Genetics and Molecular Biology (6%), Decision Sciences (6%).
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
- Physical Sciences1148.2%
- Computer Science1148.2%
- Everything else940.6%
- Life Sciences15.6%
- Social Sciences15.6%
- Decision Sciences15.6%
- 1Artificial Intelligence24% of their works
- 2Computer Networks and Communications11% of their works
- 3Signal Processing7% of their works
- 4Information Systems and Management6% of their works
- 5Molecular Biology6% of their works
- 6Computer Vision and Pattern Recognition6% of their works
Research topics
- Privacy-Preserving Technologies in Data
- Context-Aware Activity Recognition Systems
- Scientific Computing and Data Management
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Healthcare
- Distributed and Parallel Computing Systems
- Software-Defined Networks and 5G
- Mobile Crowdsensing and Crowdsourcing
Which keywords describe Mikel Hernandez's research?
The keywords of their largest research topics: Differential Privacy, Federated Learning, Deep Learning, Workflow Management, Precision Medicine, Activity Recognition, Pervasive Computing and Reproducibility.
- Network Virtualization
- Mechanical Turk
- Healthcare
- Electronic Health Records
- Crowdsourcing
- Reproducibility
- Activity Recognition
- Workflow Management
- Federated Learning
- Differential Privacy
- Deep Learning
- Precision Medicine
- Pervasive Computing
- Scientific Workflows
- Distributed Systems
- Grid Computing
- Mass Spectrometry
- Metabolomics
- Software-Defined Networking
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
- Differential Privacy71 topic
- Federated Learning71 topic
- Deep Learning52 topics
- Workflow Management52 topics
- Precision Medicine42 topics
- Activity Recognition31 topic
- Pervasive Computing31 topic
- Reproducibility31 topic
- Scientific Workflows31 topic
- Crowdsourcing21 topic
- Distributed Systems21 topic
- Electronic Health Records21 topic
- Grid Computing21 topic
- Healthcare21 topic
- Mass Spectrometry21 topic
- Mechanical Turk21 topic
- Metabolomics21 topic
- Network Virtualization21 topic
- Software-Defined Networking21 topic
Where does Mikel Hernandez work?
Mikel Hernandez's main affiliation in the publication record is Vicomtech, Spain.
How many publications and citations does Mikel Hernandez have?
OpenAlex counts 23 works and 425 citations for Mikel Hernandez, an h-index of 6, ranking #2,303,835 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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