Riccardo Zecchina
Riccardo Zecchina publishes mostly in Artificial Intelligence, Molecular Biology and Computer Networks and Communications, on topics such as Neural Networks and Applications, Constraint Satisfaction and Optimization and Neural dynamics and brain function.
- World rank
- #142,880 of 7,710,434 ranked researchers
- Rank in Italy
- #3,040 of 242,206
- Works
- 234
- Citations
- 14k
- Citations per work
- 58.6
What does Riccardo Zecchina research?
Riccardo Zecchina's work is mostly in Computer Science (41%), Biochemistry, Genetics and Molecular Biology (14%), Physics and Astronomy (7%).
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 Sciences11348.3%
- Computer Science9741.4%
- Physics and Astronomy166.9%
- Everything else7733.1%
- Life Sciences4418.6%
- 1Artificial Intelligence25% of their works
- 2Molecular Biology14% of their works
- 3Computer Networks and Communications10% of their works
- 4Statistical and Nonlinear Physics7% of their works
- 5Computational Theory and Mathematics7% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
Which keywords describe Riccardo Zecchina's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Phase Transitions, Constraint Optimization, Distributed Algorithms and Cortical Networks.
- Gene Regulatory Networks
- Gene Set Enrichment Analysis
- GPS Trajectories
- Random Projections
- Neuronal Oscillations
- Cortical Networks
- Constraint Optimization
- Self-Organizing Maps
- Neural Networks
- Deep Learning
- Backpropagation Learning
- Phase Transitions
- Distributed Algorithms
- Critical Phenomena
- Random Walk Algorithm
- Stochastic Gradient Descent
- Trajectory Data Mining
- Protein-Protein Interaction Networks
- Stochastic Gene Expression
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Deep Learning782 topics
- Neural Networks782 topics
- Backpropagation Learning591 topic
- Self-Organizing Maps591 topic
- Phase Transitions532 topics
- Constraint Optimization331 topic
- Distributed Algorithms331 topic
- Cortical Networks201 topic
- Critical Phenomena201 topic
- Neuronal Oscillations201 topic
- Random Walk Algorithm201 topic
- Random Projections191 topic
- Stochastic Gradient Descent191 topic
- GPS Trajectories181 topic
- Trajectory Data Mining181 topic
- Gene Set Enrichment Analysis171 topic
- Protein-Protein Interaction Networks171 topic
- Gene Regulatory Networks151 topic
- Stochastic Gene Expression151 topic
Where does Riccardo Zecchina work?
Riccardo Zecchina's main affiliation in the publication record is Politecnico di Torino, Italy.
How many publications and citations does Riccardo Zecchina have?
OpenAlex counts 234 works and 13,720 citations for Riccardo Zecchina, an h-index of 53, ranking #142,880 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Discussion
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