When comparing the citedByCount of 'Towards Plaintext-Aware Public-Key Encryption Without Random Oracles' author with 'An Experiment with Browsers that Learn' author, who has a higher count?
Stephen Muggleton
Stephen H. Muggleton is the author of Marcel Turcotte et al.: Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. (1998) and Wang-Zhou Dai et al.: Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist. (2001). authored by Stephen H. Muggleton. Ivan Bratko et al.: Learning Qualitative Model Stephen H. Muggleton is the author of Marcel Turcotte et al.: Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. (2001). Michael Bain and Stephen H. Muggleton: Learning optimal chess strategies. (1992) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Modelling Inhibition in Metabolic Pathways Through Abduction and Inhibition. Stephen H. Muggleton et al.: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. (2009) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Application of abductive ILP to learning metabolic network inhibition from temporal data. (2017) authored by Stephen H. Muggleton. Ute Schmid et al.: Approaches and Applications of Inductive Logic Programming Stephen H. Muggleton is the author of Jianzhong Chen et al.: Multi-class Prediction Using Stochastic Logic Programs. He was born in York in 1997 and moved to Imperial College London in 2001. <extra_id_0> the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology. He has also played a role in systems development where he was instrumental in the systems Duce, Cigol, Golem, Progol and Metagol and applications – particularly biological prediction tasks.
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Question: When comparing the citedByCount of 'Towards Plaintext-Aware Public-Key Encryption Without Random Oracles' author with 'An Experiment with Browsers that Learn' author, who has a higher count?
Context: Stephen H. Muggleton is the author of Marcel Turcotte et al.: Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. (1998) and Wang-Zhou Dai et al.: Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist. (2001). authored by Stephen H. Muggleton. Ivan Bratko et al.: Learning Qualitative Model Stephen H. Muggleton is the author of Marcel Turcotte et al.: Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. (2001). Michael Bain and Stephen H. Muggleton: Learning optimal chess strategies. (1992) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Modelling Inhibition in Metabolic Pathways Through Abduction and Inhibition. Stephen H. Muggleton et al.: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. (2009) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Application of abductive ILP to learning metabolic network inhibition from temporal data. (2017) authored by Stephen H. Muggleton. Ute Schmid et al.: Approaches and Applications of Inductive Logic Programming Stephen H. Muggleton is the author of Jianzhong Chen et al.: Multi-class Prediction Using Stochastic Logic Programs. He was born in York in 1997 and moved to Imperial College London in 2001. <extra_id_0> the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology. He has also played a role in systems development where he was instrumental in the systems Duce, Cigol, Golem, Progol and Metagol and applications – particularly biological prediction tasks.
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