Ross D. King | Academic Influence

Ross D. King's AcademicInfluence.com Rankings

Ross D. King

Computer Science

#2179

World Rank

#2267

Historical Rank

Database

#8124

World Rank

#8471

Historical Rank

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Computer Science

Ross D. King's Degrees

PhD Computer Science University of Sussex
Bachelors Computer Science University of Sussex

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Why Is Ross D. King Influential?

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According to Wikipedia, Ross Donald King is a Professor of Machine Intelligence at Chalmers University of Technology. Education King completed a Bachelor of Science degree in Microbiology at the University of Aberdeen in 1983 and went on to study for a Master of Science degree in Computer Science at the University of Newcastle in 1985. Following this, he completed a PhD at The Turing Institute at the University of Strathclyde in 1989 for work on developing machine learning methods for protein structure prediction.

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Ross D. King's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Knowledge Discovery in Multi-label Phenotype Data (2001) (735)
Functional genomic hypothesis generation and experimentation by a robot scientist (2004) (607)
The Automation of Science (2009) (507)
Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction (1996) (380)
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. (2005) (372)
Finding Frequent Substructures in Chemical Compounds (1998) (321)
An ontology of scientific experiments (2006) (224)
The Predictive Toxicology Challenge 2000-2001 (2001) (208)
Application of metabolomics to plant genotype discrimination using statistics and machine learning (2002) (200)
STALOG: Comparison of classification algorithms on large real-world problems (1995) (184)
Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001 (2003) (156)
Predicting gene function in Saccharomyces cerevisiae (2003) (153)
Carcinogenesis Predictions Using ILP (1997) (150)
Active Learning for Regression Based on Query by Committee (2007) (146)
Applications of inductive logic programming (1995) (145)
Protein secondary structure prediction using logic-based machine learning (1992) (139)
The Predictive Toxicology Evaluation Challenge (1997) (137)
Towards Robot Scientists for autonomous scientific discovery (2010) (123)
Further developments towards a genome-scale metabolic model of yeast (2010) (116)
Are the current ontologies in biology good ontologies? (2005) (103)
Feature construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes (1999) (103)
Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases (2015) (83)
Warmr: a data mining tool for chemical data (2001) (81)
Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines (1994) (78)
Machine learning of functional class from phenotype data (2002) (76)
The utility of different representations of protein sequence for predicting functional class (2001) (75)
An ontology for a Robot Scientist (2006) (73)
Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programming. (1996) (72)
DSC: public domain protein secondary structure predication (1997) (69)
On the use of qualitative reasoning to simulate and identify metabolic pathway (2005) (64)
Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes (2001) (63)
Accurate Prediction of Protein Functional Class From Sequence in the Mycobacterium Tuberculosis and Escherichia Coli Genomes Using Data Mining (2000) (62)
The EXACT description of biomedical protocols (2008) (56)
An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems (2009) (56)
Relating chemical activity to structure: An examination of ILP successes (1995) (56)
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment (1999) (51)
New approach to pharmacophore mapping and QSAR analysis using inductive logic programming. Application to thermolysin inhibitors and glycogen phosphorylase B inhibitors. (2002) (50)
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery (2017) (49)
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes (1996) (47)
Genome scale prediction of protein functional class from sequence using data mining (2000) (45)
An assessment of submissions made to the Predictive Toxicology Evaluation Challenge (1999) (43)
A new 3D molecular structure representation using quantum topology with application to structure–property relationships (2000) (41)
Functional bioinformatics for Arabidopsis thaliana (2006) (41)
Biochemical Knowledge Discovery Using Inductive Logic Programming (1998) (41)
Developing a Logical Model of Yeast Metabolism (2001) (40)
An Ontology for Description of Drug Discovery Investigations (2010) (38)
How well do we understand the clusters found in microarray data? (2002) (37)
The Robot Scientist Adam (2009) (34)
Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines (1994) (34)
Data Mining the Yeast Genome in a Lazy Functional Language (2003) (34)
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming (2003) (34)
Functional Expression of Parasite Drug Targets and Their Human Orthologs in Yeast (2011) (33)
Enhancement of Plant Metabolite Fingerprinting by Machine Learning1[W] (2010) (33)
Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds (2013) (33)
Merits of random forests emerge in evaluation of chemometric classifiers by external validation. (2013) (32)
Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA (2016) (32)
EXACT2: the semantics of biomedical protocols (2014) (32)
Applying Inductive Logic Programming to Predicting Gene Function (2004) (30)
Modelling the structure and function of enzymes by machine learning. (1992) (30)
Qualitative System Identification from Imperfect Data (2008) (29)
Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition (2010) (29)
Homology Induction: the use of machine learning to improve sequence similarity searches (2002) (28)
Confirmation of data mining based predictions of protein function (2004) (27)
The discovery of indicator variables for QSAR using inductive logic programming (1997) (26)
Comparison of artificial intelligence methods for modeling pharmaceutical QSARS (1995) (25)
Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan (2018) (23)
A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network (1994) (23)
On the formalization and reuse of scientific research (2011) (23)
Using a logical model to predict the growth of yeast (2008) (22)
Learning Qualitative Metabolic Models (2004) (22)
Drug Design by Machine Learning (1995) (21)
Rise of the robo scientists. (2011) (21)
Large-Scale Assessment of Deep Relational Machines (2018) (21)
Intelligent software for laboratory automation. (2004) (20)
Quantitative pharmacophore models with inductive logic programming (2006) (19)
Finding Motifs in Protein Secondary Structure for Use in Function Prediction (2006) (18)
A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks (2009) (17)
Representation of probabilistic scientific knowledge (2013) (17)
A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics (2004) (16)
Representation of molecular structure using quantum topology with inductive logic programming in structure–activity relationships (2006) (16)
An Inductive Learning Approach to the Problem of Predicting a Protein's Secondary Structure from Its Amino Acid Sequence (1987) (15)
Locational distribution of gene functional classes in Arabidopsis thaliana (2007) (14)
Modeling quantitative structure-property relationships in calculated reaction pathways using a new 3D quantum topological representation (2001) (13)
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data (2009) (13)
Automating Sciences: Philosophical and Social Dimensions (2018) (12)
Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast (2019) (12)
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming (2008) (12)
Multi-task learning with a natural metric for quantitative structure activity relationship learning (2019) (11)
Make way for robot scientists. (2009) (11)
THE ANALYSIS OF YEAST CELL MORPHOLOGY FEATURES IN EXPONENTIAL AND STATIONARY PHASE (2011) (11)
Overhauling the PDB (2007) (11)
Inductive Logic Programming (2004) (9)
Learning Qualitative Models of Physical and Biological Systems (2007) (9)
Cross-validation is safe to use (2021) (9)
Topic Models with Relational Features for Drug Design (2012) (8)
BLID: An Application of Logical Information Systems to Bioinformatics (2004) (7)
Transformational machine learning: Learning how to learn from many related scientific problems (2021) (7)
The Robot Scientist Project (2005) (7)
Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures (1994) (6)
A Genetic Trap in Yeast for Inhibitors of SARS-CoV-2 Main Protease (2021) (5)
IPSA: Inductive Protein Structure Analysis (1990) (5)
Application of Inductive Logic Programming to Structure-Based Drug Design (2003) (5)
Representation, simulation, and hypothesis generation in graph and logical models of biological networks. (2011) (5)
An Automated ILP Server in the Field of Bioinformatics (2001) (5)
Ontology Engineering for Biological Applications (2007) (4)
The representation of biomedical protocols (2013) (4)
An alignment‐free methodology for modelling field‐based 3D‐structure activity relationships using inductive logic programming (2007) (4)
ReviewTowards Robot Scientists for autonomous scientific discovery (2015) (3)
Relating chemical activity to structure: An examination of ILP successes (2009) (3)
Symbolic Classifiers: Conditions to Have Good Accuracy Performance (1994) (3)
Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds (2009) (3)
Meta-QSAR: Learning How to Learn QSARs (2015) (3)
Statistical Methods in Learning (1992) (2)
Automating the Development of Metabolic Network Models (2015) (2)
An investigation into eukaryotic pseudouridine synthases (2014) (2)
Machine Learning and biomolecular modelling (1994) (2)
Predicting Rice Phenotypes with Meta-learning (2018) (2)
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics (2007) (2)
Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming (1996) (2)
Mining String Data under Similarity and Soft-Frequency Constraints: Application to Promoter Sequence Analysis (2009) (2)
Drug design, protein secondary structure prediction and functional genomics (1998) (2)
Federated Ensemble Regression Using Classification (2020) (2)
Improved prediction of gene expression through integrating cell signalling models with machine learning (2022) (1)
Transformative Machine Learning (2018) (1)
Predicting rice phenotypes with meta and multi-target learning (2020) (1)
Inductive Queries for a Drug Designing Robot Scientist (2010) (1)
Application of Machine Learning in Drug Design (1998) (1)
Dilemma over AI and drug patenting already under debate (2018) (1)
EXACT2: the semantics of biomedical protocols (2014) (1)
Constraint-based optimisation tools for semi-automated refinement of genome-scale yeast metabolic models (2010) (1)
A Tool for Multiple Targeted Genome Deletions that Is Precise, Scar-Free, and Suitable for Automation (2015) (1)
Evolutionary Optimization of Three-Photon Absorption in Molecular Iodine (2007) (1)
The Analysis of Yeast Cell Morphology Using a Robot Scientist (2010) (1)
A quantum mechanics based representation of molecules for machine inference (2001) (1)
Inductive logic programming: techniques and applications by Nada Lavrac and Saso Dzeroski, Ellis Horwood, UK, 1993, pp 293, £39.95, ISBN 0-13-457870-8 (1994) (1)
Formalising ylogenetic eriments : Ontologies and cal ference (2008) (0)
anti-parasitic lead compounds Yeast-based automated high-throughput screens to identify (2013) (0)
Opportunities for Automated Workflow and Planning with Robot Scientists (2012) (0)
Drugdesign bymachine learning: Theuseofinductive logic programming tomodelthestructure-activi ty relationships of trimethoprim analogues binding todihydrofolate reductase (arfclintegence/ee acv/prote l/active sites) (1992) (0)
IJCAI09 Workshop on Abductive and Inductive Knowledge Development (2009) (0)
A machine learning approach for drug design and protein structure prediction (1993) (0)
Realism about PDB (2007) (0)
Towards a Logical Foundation for Bioinformatics Based on Semantic Web Based Scientific Reasoning (2012) (0)
IPSA: inductive protein structure analysis (abstract) (1991) (0)
A Personal View of How Best to Apply ILP (2003) (0)
An ontology-based disambiguation of terms (2011) (0)
Evolutionary Optimization of Three-Photon Absorption (2006) (0)
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems (2023) (0)
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat (2019) (0)
10_LDpruned_Allgenotypes_CategAsNumeric_Qty_EMMAX_SPKF_V2.csv.gz (2018) (0)
Combining Legacy Prediction Systems in Bioinformatics (2007) (0)
Review Robot Scientists for autonomous scientific discovery (2010) (0)
Guest Editorial (2008) (0)
Automating Science and Finding Patterns in the Data (2009) (0)
Critical Assessment of Microarray Data Analysis Contest Datasets Emerald Dataset : a Microarray Experiment to Study the Relative Magnitudes of Technical and Biological Variation Talks Keynote towards Cracking the Code of Transcription and Chromatin Regulation Analysis of Comparative Genomic Hybridiz (0)
03_Filtered_Aus_Qty_EMMAX_GRWT100.csv.gz (2018) (0)
02_Filtered_AllGenotypes_Qty_EMMAX_CULT_REPRO.csv.gz (2018) (0)
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology (2020) (0)
06_LDpruned_AllGenotypes_Qty_EMMAX_CUDI_REPRO.csv.gz (2018) (0)
Formalising Phylogenetic Experiments: Ontologies and Logical Inference (2008) (0)
Disjunctive Bottom Set and Its Computation (2007) (0)
Improved prediction of gene expression through integrating cell signalling models with machine learning (2022) (0)
Estimation of Error-rates in Classification Rules (1992) (0)
Bioinformatics Enhancement of Plant Metabolite Fingerprinting by Machine Learning 1 [ W ] (2010) (0)
An Ontology of Scientific Research (2006) (0)

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