John Robinson
About
John Robinson has authored 134 papers that have received a total of 3.0k indexed citations.
This includes 54 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 24 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Distribution Estimation and Applications (18 papers). John Robinson is often cited by papers focused on Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Distribution Estimation and Applications (18 papers) and collaborates with scholars based in Australia, United States and Canada. John Robinson's co-authors include Lars S. Jermiin, M. P. Quine, Vivek Jayaswal, Sarah Lewis and Faisal Ababneh and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and The Journal of Physiology.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by J. Tóth Breakdown of academic impact, for papers by Lian Xiong Breakdown of academic impact, for papers by Andrés Losada‐Baltar Breakdown of academic impact, for papers by James L. Watkins Breakdown of academic impact, for papers by Jie Shi Breakdown of academic impact, for papers by Xianli Meng Breakdown of academic impact, for papers by Luis Alberto Henríquez‐Hernández Breakdown of academic impact, for papers by Weijuan Zhang