Michele Pace
Michele Pace publishes mostly in Artificial Intelligence, Molecular Biology and Computer Networks and Communications, on topics such as Target Tracking and Data Fusion in Sensor Networks, Diffusion and Search Dynamics and Neural Networks and Applications.
- World rank
- #5,231,279 of 7,710,434 ranked researchers
- Rank in Austria
- #32,310 of 43,330
- Works
- 23
- Citations
- 143
- Citations per work
- 6.2
What does Michele Pace research?
Michele Pace's work is mostly in Computer Science (29%), Biochemistry, Genetics and Molecular Biology (8%), Mathematics (5%).
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
- Everything else1147.6%
- Physical Sciences939.3%
- Computer Science729.5%
- Mathematics14.9%
- Physics and Astronomy14.9%
- Life Sciences28.2%
- Social Sciences14.9%
- Decision Sciences14.9%
- 1Artificial Intelligence25% of their works
- 2Molecular Biology8% of their works
- 3Computer Networks and Communications5% of their works
- 4Statistical and Nonlinear Physics5% of their works
- 5Management Science and Operations Research5% of their works
- 6Applied Mathematics5% of their works
Research topics
Which keywords describe Michele Pace's research?
The keywords of their largest research topics: Bayesian Inference, Deep Learning, Nonlinear Estimation, Particle Filters, Clustering, Variational Inference, Facilitated Diffusion and Neural Networks.
- Time Series
- Mixture Models
- Gene Regulatory Networks
- Dynamic Time Warping
- Spatstat
- Protein-DNA Interaction
- Neural Networks
- Variational Inference
- Particle Filters
- Deep Learning
- Bayesian Inference
- Nonlinear Estimation
- Clustering
- Facilitated Diffusion
- Point Processes
- Self-Organizing Maps
- Dirichlet Process
- Gaussian Processes
- Machine Learning
- 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 20 words, with their numbers
- Bayesian Inference113 topics
- Deep Learning73 topics
- Nonlinear Estimation71 topic
- Particle Filters71 topic
- Clustering42 topics
- Variational Inference42 topics
- Facilitated Diffusion31 topic
- Neural Networks31 topic
- Point Processes31 topic
- Protein-DNA Interaction31 topic
- Self-Organizing Maps31 topic
- Spatstat31 topic
- Dirichlet Process21 topic
- Dynamic Time Warping21 topic
- Gaussian Processes21 topic
- Gene Regulatory Networks21 topic
- Machine Learning21 topic
- Mixture Models21 topic
- Stochastic Gene Expression21 topic
- Time Series21 topic
Where does Michele Pace work?
Michele Pace's main affiliation in the publication record is Computer Algorithms for Medicine, Austria.
How many publications and citations does Michele Pace have?
OpenAlex counts 23 works and 143 citations for Michele Pace, an h-index of 8, ranking #5,231,279 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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