Jonathan Ish-Horowicz

2 papers and 25 indexed citations i.

Jonathan Ish-Horowicz is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jonathan Ish-Horowicz has authored 2 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computational Mechanics and 1 paper in Computational Theory and Mathematics. Recurrent topics in Jonathan Ish-Horowicz’s work include Markov Chains and Monte Carlo Methods (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Jonathan Ish-Horowicz is often cited by papers focused on Markov Chains and Monte Carlo Methods (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Jonathan Ish-Horowicz collaborates with scholars based in United Kingdom and Australia. Jonathan Ish-Horowicz's co-authors include Erik Burman, Lauri Oksanen, Fei He, Michael P. H. Stumpf and Elisabeth Roesch and has published in prestigious journals such as Bioinformatics and ESAIM Mathematical Modelling and Numerical Analysis.