Ričards Marcinkevičs
Ričards Marcinkevičs publishes mostly in Artificial Intelligence, Emergency Medicine and Surgery, on topics such as Appendicitis Diagnosis and Management, Explainable Artificial Intelligence (XAI) and Machine Learning in Healthcare.
- World rank
- #2,466,188 of 7,710,434 ranked researchers
- Rank in Switzerland
- #37,945 of 80,918
- Works
- 32
- Citations
- 570
- Citations per work
- 17.8
What does Ričards Marcinkevičs research?
Ričards Marcinkevičs's work is mostly in Computer Science (35%), Medicine (28%), Neuroscience (4%).
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 Sciences1134.7%
- Computer Science1134.7%
- Everything else1133.4%
- Health Sciences927.9%
- Medicine927.9%
- Life Sciences14.0%
- Neuroscience14.0%
- 1Artificial Intelligence35% of their works
- 2Emergency Medicine9% of their works
- 3Surgery9% of their works
- 4Infectious Diseases5% of their works
- 5Cardiology and Cardiovascular Medicine4% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
- Appendicitis Diagnosis and Management
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Intestinal Malrotation and Obstruction Disorders
- Adversarial Robustness in Machine Learning
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
- Machine Learning and Data Classification
Which keywords describe Ričards Marcinkevičs's research?
The keywords of their largest research topics: Deep Learning, Deep Neural Networks, Appendicitis, Diagnosis, Interpretable Models, Machine Learning Interpretability, Neural Networks and Electronic Health Records.
- Noisy Labels
- Backpropagation Learning
- Causal Inference
- Adversarial Examples
- Intestinal Malrotation
- Electronic Health Records
- Machine Learning Interpretability
- Diagnosis
- Deep Neural Networks
- Deep Learning
- Appendicitis
- Interpretable Models
- Neural Networks
- Healthcare
- Pyloric Stenosis
- Bayesian Networks
- Robustness
- Hyperparameter Optimization
- Self-Organizing Maps
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
- Deep Learning93 topics
- Deep Neural Networks72 topics
- Appendicitis61 topic
- Diagnosis61 topic
- Interpretable Models51 topic
- Machine Learning Interpretability51 topic
- Neural Networks52 topics
- Electronic Health Records41 topic
- Healthcare41 topic
- Intestinal Malrotation41 topic
- Pyloric Stenosis41 topic
- Adversarial Examples31 topic
- Bayesian Networks31 topic
- Causal Inference31 topic
- Robustness31 topic
- Backpropagation Learning21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Self-Organizing Maps21 topic
Where does Ričards Marcinkevičs work?
Ričards Marcinkevičs's main affiliation in the publication record is ETH Zurich, Switzerland.
How many publications and citations does Ričards Marcinkevičs have?
OpenAlex counts 32 works and 570 citations for Ričards Marcinkevičs, an h-index of 10, ranking #2,466,188 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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