2026 Nello Cristianini: 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	59	3310	3215	197	195	248	72917

Nello Cristianini publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nello Cristianini sits on this spectrum.

32 publications 991+

This scientist: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Nello Cristianini D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nello Cristianini sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Nello Cristianini is affiliated with the University of Bath in the United Kingdom, contributing to various fields including Agricultural and Biological Sciences, Computer Science, and Biochemistry, Genetics and Molecular Biology. Their research spans multiple subfields such as Food Science, Nutrition and Dietetics, Artificial Intelligence, Biotechnology, and Animal Science and Zoology.

The scientist's recent papers cover diverse topics related to food science and technology. Notable publications include:

Extraction of bioactive compounds from purple corn using emerging technologies: A review (2020) published in the Journal of Food Science
Mango and carrot mixed juice: a new matrix for the vehicle of probiotic lactobacilli (2020) published in the Journal of Food Science and Technology
High pressure-assisted enzymatic hydrolysis potentiates the production of quinoa protein hydrolysates with antioxidant and ACE-inhibitory activities (2024) published in Food Chemistry
Morphological, thermal and mechanical properties of polyamide and ethylene vinyl alcohol multilayer flexible packaging after high-pressure processing (2020) published in the Journal of Food Engineering
Non-thermal emerging technologies as alternatives to chemical additives to improve the quality of wheat flour for breadmaking: a review (2021) published in Critical Reviews in Food Science and Nutrition

Among frequent co-authors, collaborators include:

Ludmilla de Carvalho Oliveira
Luís Marangoni Júnior
Carlos Alberto Rodrigues Anjos
Serafim Bakalis
Zhaozhen Xu

Their work is often published in journals such as:

Innovative Food Science & Emerging Technologies
Journal of Food Processing and Preservation
LWT
arXiv (Cornell University)
Journal of Food Science

The research topics addressed in their publications cover areas including:

Microbial Inactivation Methods
Food composition and properties
Meat and Animal Product Quality
Topic Modeling
Proteins in Food Systems
Polysaccharides Composition and Applications
Microbial Metabolites in Food Biotechnology

This scientist's work integrates knowledge from multiple scientific domains and applies emerging technologies to food science and biotechnology challenges, with a focus on food quality, safety, and nutritional properties.

Best Publications

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Nello Cristianini;John Shawe-Taylor

24754
Citations
Kernel Methods for Pattern Analysis

John Shawe-Taylor;Nello Cristianini

9131
Citations
An Introduction to Support Vector Machines

Nello Cristianini;John Shawe-Taylor

7253
Citations
Support vector machine classification and validation of cancer tissue samples using microarray expression data

Terrence S. Furey;Nello Cristianini;Nigel Duffy;David W. Bednarski

3319
Citations
Knowledge-based analysis of microarray gene expression data by using support vector machines

Michael P. S. Brown;William Noble Grundy;David Lin;Nello Cristianini

3277
Citations
Learning the Kernel Matrix with Semidefinite Programming

Gert R. G. Lanckriet;Nello Cristianini;Peter Bartlett;Laurent El Ghaoui

3089
Citations
Large Margin DAGs for Multiclass Classification

John C. Platt;Nello Cristianini;John Shawe-Taylor

2910
Citations
Text classification using string kernels

Huma Lodhi;Craig Saunders;John Shawe-Taylor;Nello Cristianini

1875
Citations
CAFE: a computational tool for the study of gene family evolution

Tijl De Bie;Nello Cristianini;Jeffery P. Demuth;Matthew W. Hahn

1822
Citations
On Kernel-Target Alignment

Nello Cristianini;John Shawe-Taylor;André Elisseeff;Jaz S. Kandola

1194
Citations
Controlling the Sensitivity of Support Vector Machines

K Veropoulos;Icg Campbell;N Cristianini

1034
Citations
A statistical framework for genomic data fusion

Gert R. G. Lanckriet;Tijl De Bie;Nello Cristianini;Michael I. Jordan

916
Citations
Support vector machines

Alessia Mammone;Marco Turchi;Nello Cristianini

568
Citations
Query Learning with Large Margin Classifiers

Colin Campbell;Nello Cristianini;Alex J. Smola

519
Citations
Tracking the flu pandemic by monitoring the social web

Vasileios Lampos;Nello Cristianini

494
Citations
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines

Thilo-Thomas Frieß;Nello Cristianini;Colin Campbell

470
Citations
Kernel-based data fusion and its application to protein function prediction in yeast.

Gert R. G. Lanckriet;Minghua Deng;Nello Cristianini;Michael I. Jordan

440
Citations
Latent Semantic Kernels

Nello Cristianini;John Shawe-Taylor;Huma Lodhi

411
Citations
Text Classification using String Kernels

Huma Lodhi;John Shawe-Taylor;Nello Cristianini;Christopher J. C. H. Watkins

360
Citations
Flu detector: tracking epidemics on twitter

Vasileios Lampos;Tijl De Bie;Nello Cristianini

355
Citations
Large Margin DAG's for Multiclass Classification

John Platt;Nello Cristianini;John Shawe-Taylor

221
Citations
Advances in Kernel Methods - Support Vector Learning

Nello Cristianini;J Shawe-Taylor

7
Citations
Kernel Methods for Pattern Analysis: Pattern analysis

John Shawe-Taylor;Nello Cristianini

6
Citations

Frequent Co-Authors

John Shawe-Taylor University College London

Tijl De Bie Ghent University

Matthew W. Hahn Indiana University

Elisa Ricci Fondazione Bruno Kessler

Stafford L. Lightman University of Bristol

Terrence S. Furey University of North Carolina at Chapel Hill

Peter A. Flach University of Bristol

Gert R. G. Lanckriet University of California, San Diego

Michael I. Jordan University of California, Berkeley

David Haussler University of California, Santa Cruz

External Links

Wikipedia of Nello Cristianini Personal website of Nello Cristianini Google Scholar page

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