2026 Neil D. Lawrence: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	73	1579	1532	87	86	274	23115

Research.com Recognitions

2025 - Research.com Computer Science in United Kingdom Leader Award
2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Neil D. Lawrence is a researcher affiliated with the University of Cambridge in the United Kingdom. Their work primarily focuses on the field of computer science, with a significant emphasis on artificial intelligence and related subfields.

The main areas of study in their research include:

Computer Science
Artificial Intelligence
Information Systems
Molecular Biology
Computer Networks and Communications
Information Systems and Management

Key research topics covered in their publications are:

Gaussian Processes and Bayesian Inference
Machine Learning and Data Classification
Scientific Computing and Data Management
Software Engineering Research
Data Stream Mining Techniques
Advanced Multi-Objective Optimization Algorithms
Domain Adaptation and Few-Shot Learning

Neil D. Lawrence has contributed to multiple publication venues, most notably:

arXiv (Cornell University)
ACM Computing Surveys
BMJ
International Transactions on Education Technology (ITEE)
Journal of the Endocrine Society

Recent papers authored or coauthored by Neil D. Lawrence include:

Challenges in Deploying Machine Learning: A Survey of Case Studies, 2022, ACM Computing Surveys
Precocious puberty, 2020, BMJ
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients, 2020, arXiv (Cornell University)
Emulation of physical processes with Emukit, 2021, arXiv (Cornell University)
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment, 2021, arXiv (Cornell University)

Frequent coauthors of Neil D. Lawrence include:

Andrei Paleyes
Aditya Ravuri
Christian Cabrera
Pierre Thodoroff
Jessica Montgomery

Best Publications

Dataset Shift in Machine Learning

Joaquin Quionero-Candela;Masashi Sugiyama;Anton Schwaighofer;Neil D. Lawrence

1953
Citations
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models

Neil Lawrence

1263
Citations
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data

Neil D. Lawrence

1071
Citations
Deep Gaussian Processes

Andreas C. Damianou;Neil D. Lawrence

981
Citations
Gaussian processes for Big data

James Hensman;Nicolò Fusi;Neil D. Lawrence

953
Citations
WiFi-SLAM using Gaussian process latent variable models

Brian Ferris;Dieter Fox;Neil Lawrence

704
Citations
Fast Sparse Gaussian Process Methods: The Informative Vector Machine

Ralf Herbrich;Neil D. Lawrence;Matthias Seeger

700
Citations
Variational Information Distillation for Knowledge Transfer

Sungsoo Ahn;Shell Xu Hu;Andreas Damianou;Neil D. Lawrence

668
Citations
Kernels for Vector-Valued Functions: A Review

Mauricio A. Álvarez;Lorenzo Rosasco;Neil D. Lawrence

666
Citations
Covariate Shift by Kernel Mean Matching

A Gretton;AJ Smola;J Huang;M Schmittfull

609
Citations
Fast Forward Selection to Speed Up Sparse Gaussian Process Regression

Matthias W. Seeger;Christopher K. I. Williams;Neil D. Lawrence

562
Citations
Bayesian Gaussian Process Latent Variable Model

Michalis K. Titsias;Neil D. Lawrence

520
Citations
Challenges in Deploying Machine Learning: a Survey of Case Studies

Andrei Paleyes;Raoul-Gabriel Urma;Neil D. Lawrence

482
Citations
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling.

P. Perdikaris;M. Raissi;A. Damianou;N. D. Lawrence

420
Citations
Learning to learn with the informative vector machine

Neil D. Lawrence;John C. Platt

420
Citations
Computationally Efficient Convolved Multiple Output Gaussian Processes

Mauricio A. Álvarez;Neil D. Lawrence

361
Citations
Missing data in kernel PCA

Guido Sanguinetti;Neil D. Lawrence

351
Citations
Batch Bayesian Optimization via Local Penalization

Javier Gonzalez;Zhenwen Dai;Philipp Hennig;Neil D. Lawrence

320
Citations
Non-linear matrix factorization with Gaussian processes

Neil D. Lawrence;Raquel Urtasun

301
Citations
Local distance preservation in the GP-LVM through back constraints

Neil D. Lawrence;Joaquin Quiñonero-Candela

298
Citations
Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria

Tapio Lönnberg;Tapio Lönnberg;Valentine Svensson;Kylie R. James;Daniel Fernandez-Ruiz

296
Citations
WiFi-SLAM Using G aussian Process Latent Variable Models

Brian D. Ferris;Dieter Fox;Neil D. Lawrence

0
Citations
Deep G aussian Processes

Andreas Damianou;Neil D. Lawrence

0
Citations

Frequent Co-Authors

Magnus Rattray University of Manchester

Masashi Sugiyama RIKEN

Guido Sanguinetti International School for Advanced Studies

Oliver Stegle German Cancer Research Center

Christopher M. Bishop Microsoft (United States)

Michael I. Jordan University of California, Berkeley

Matthias Seeger Amazon (Germany)

Tony J. Prescott University of Sheffield

Ralf Herbrich Hasso Plattner Institute

Sarah A. Teichmann University of Cambridge

External Links

Personal website of Neil D. Lawrence Google Scholar page

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