Antonia J. Jones | Academic Influence

Antonia J. Jones's AcademicInfluence.com Rankings

Antonia J. Jones

Computer Science

#2440

World Rank

#2548

Historical Rank

Artificial Intelligence

#5195

World Rank

#5266

Historical Rank

Machine Learning

#5725

World Rank

#5804

Historical Rank

computer-science Degrees

Antonia J. Jones

Mathematics

#4588

World Rank

#6496

Historical Rank

Group Theory

#383

World Rank

#439

Historical Rank

Algebra

#643

World Rank

#848

Historical Rank

Measure Theory

#2575

World Rank

#3085

Historical Rank

mathematics Degrees

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Computer Science
Mathematics

Antonia J. Jones's Degrees

Masters Computer Science Imperial College London
Bachelors Mathematics University of Oxford

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Why Is Antonia J. Jones Influential?

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According to Wikipedia, Antonia Jane Jones was a British mathematician and computer scientist. Her research considered number theory and computer science. Early life and education Jones was born in 1943 in Queen Charlotte's and Chelsea Hospital. She was the first member of her family to attend university. Jones contracted polio as a child and lost both of her legs at the age of ten. Jones attended the University of Reading, where she studied mathematics and physics and graduated both with first class honours. She was a doctoral student in number theory at the University of Cambridge, where she completed her PhD in 1969. Jones joined the University of Nottingham after earning her doctorate, before joining Imperial College London as a Senior Lecturer. She spent a year at the Institute for Advanced Study, after which she joined the faculty at the University of Colorado Boulder.

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Antonia J. Jones'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

At Least 1 in 20 16S rRNA Sequence Records Currently Held in Public Repositories Is Estimated To Contain Substantial Anomalies (2005) (811)
New Screening Software Shows that Most Recent Large 16S rRNA Gene Clone Libraries Contain Chimeras (2006) (723)
A note on the Gamma test (1997) (230)
A proof of the Gamma test (2002) (162)
New tools in non-linear modelling and prediction (2004) (138)
Feature selection for genetic sequence classification (1998) (105)
Asymptotic moments of near–neighbour distance distributions (2002) (89)
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis (2002) (71)
The control of higher dimensional chaos: comparative results for the chaotic satellite attitude control problem (2000) (60)
Estimating the Held-Karp lower bound for the geometric TSP (1997) (57)
Evolutionary Divide and Conquer (I): A Novel Genetic Approach to the TSP (1993) (54)
Genetic algorithms and their applications to the design of neural networks (1993) (45)
Neural models of arbitrary chaotic systems: construction and the role of time delayed feedback in control and synchronization (2001) (37)
Nature's way (1993) (31)
The Gamma Test (2002) (29)
PERIODIC RESPONSE TO EXTERNAL STIMULATION OF A CHAOTIC NEURAL NETWORK WITH DELAYED FEEDBACK (1999) (26)
At least one in twenty 16 S rRNA sequence records currently held in public 1 repositories estimated to contain substantial anomalies (2005) (23)
Adaptive neuro-genetic control of chaos applied to the attitude control problem (1997) (22)
A note on the Gamma test analysis of noisy input/output data and noisy time series (2007) (21)
Non-parametric estimation of residual moments and covariance (2008) (20)
Anti-keylogging measures for secure Internet login: An example of the law of unintended consequences (2007) (19)
Development of a predictive/reactive scheduler using genetic algorithms and simulation-based schedul (1996) (18)
Synchronization of Chaotic Maps by Feedback Control and Application to Secure Communications Using Chaotic Neural Networks (1998) (15)
An Adaptive Mapping for Developmental Genetic Programming (2001) (14)
Automated embedding and the creep phenomenon in chaotic time series by (2000) (13)
Predicting Housing Value: Genetic Algorithm Attribute Selection and Dependence Modelling Utilising the Gamma Test (2004) (12)
Neuro-genetic adaptive attitude control (1994) (12)
An Artificial Neural Network for Predicting Carbonation Depth in Concrete Structures (1998) (12)
Adaptive real-time neural network attitude control of chaotic satellite motion (1995) (10)
Applications of N-tuple sampling and genetic algorithms to speech recognition (1989) (9)
Predicting Housing Value : Attribute Selection and Dependence Modelling Utilising the Gamma Test (2002) (7)
Exact solutions for Sturm–Liouville problems on trees via novel substitute systems and the Wittrick–Williams algorithm (2007) (5)
Adaptive neurocontrol design applied to the attitude control problem (1994) (5)
Self-replicating probes for galactic exploration. (1991) (4)
Phlegmatic Mappings for Function Optimization with Genetic Algorithms (2000) (4)
Neuromodels of analytic dynamic systems (1993) (4)
Using a Neural Network to Calculate the Sensitivity Vectors in Synchronisation of Chaotic Maps (2002) (3)
Well reservoir model identification using translation and scale invariant higher order networks (1995) (3)
Non-linear modelling of river levels using the Gamma test (2002) (2)
Neural Networks and Genetic Algorithms for the Attitude Control Problem (1995) (2)
Artificial Intelligence in Computer Aided Instruction Shells (1989) (2)
Heuristic Confidence Intervals for the Gamma Test (2006) (2)
Emergent coordination for distributed information management (2000) (2)
Modeling Dynamic Systems (1993) (2)
A Lacuna in the Theory of Asynchronous Boltzmann Machine Learning (2002) (1)
The modular construction of dynamic nets (1993) (1)
Non-linear modelling and chaotic neural networks (2000) (1)
Areal Rainfall Estimation for Flood Forecasting (2003) (1)
A schemata theorem for trees (2000) (0)
Comparing networks with differing neural-node functions using transputer-based genetic algorithms (1993) (0)
The evolution of artificial neurology in ALEPH_world (2000) (0)
Learning a Markov Process with a Synchronous Boltzmann Machine (1997) (0)
Automating Performance Analysis of Neural Algorithms (1999) (0)
The Gamma Test 1 THE GAMMA TEST (2002) (0)
EVOLUTIONARY COMPUTING CMT563 (2005) (0)
Computer programs running wild (1994) (0)
Comparing the Measured N2 Lyman-Birge-Hopfield (LBH) Band Brightness in the Dayglow With Model Calculations: Investigating the Importance of Cascading as a Source of Excitation. (2005) (0)
Non-parametric smooth non-linear model identification and construction (1999) (0)

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