Neil D. Lawrence
Neil D. Lawrence publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Gaussian Processes and Bayesian Inference, Spectroscopy and Chemometric Analyses and Machine Learning and Data Classification.
- World rank
- #24,364 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #2,314 of 90,785
- Works
- 105
- Citations
- 922
- Citations per work
- 8.8
What does Neil D. Lawrence research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Molecular Biology10% of their works
- 3Computer Vision and Pattern Recognition9% of their works
- 4Control and Systems Engineering8% of their works
- 5Analytical Chemistry6% of their works
- 6Signal Processing5% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Spectroscopy and Chemometric Analyses
- Machine Learning and Data Classification
- Neural Networks and Applications
- Privacy-Preserving Technologies in Data
- Time Series Analysis and Forecasting
- Control Systems and Identification
- Gene expression and cancer classification
Which keywords describe Neil D. Lawrence's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Gaussian Processes, Variational Inference, Clustering, Multivariate Calibration, Near-Infrared Spectroscopy and Hyperparameter Optimization.
- Gene Expression
- System Identification
- Parameter Estimation
- Federated Learning
- Differential Privacy
- Hyperparameter Optimization
- Multivariate Calibration
- Variational Inference
- Machine Learning
- Deep Learning
- Gaussian Processes
- Clustering
- Near-Infrared Spectroscopy
- Noisy Labels
- Dynamic Time Warping
- Neural Networks
- Self-Organizing Maps
- Time Series
- Microarray
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 Learning233 topics
- Machine Learning223 topics
- Gaussian Processes151 topic
- Variational Inference151 topic
- Clustering72 topics
- Multivariate Calibration61 topic
- Near-Infrared Spectroscopy61 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Differential Privacy41 topic
- Dynamic Time Warping41 topic
- Federated Learning41 topic
- Neural Networks41 topic
- Parameter Estimation41 topic
- Self-Organizing Maps41 topic
- System Identification41 topic
- Time Series41 topic
- Gene Expression31 topic
- Microarray31 topic
Where does Neil D. Lawrence work?
Neil D. Lawrence's main affiliation in the publication record is University of Sheffield, United Kingdom.
How many publications and citations does Neil D. Lawrence have?
Science Explorer counts 105 works and 922 citations for Neil D. Lawrence, ranking #24,364 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.