Kevin Maik Jablonka
About
Kevin Maik Jablonka has authored 22 papers that have received a total of 1.3k indexed citations.
This includes 17 papers in Materials Chemistry, 11 papers in Inorganic Chemistry and 7 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning in Materials Science (15 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers) and Computational Drug Discovery Methods (6 papers). Kevin Maik Jablonka is often cited by papers focused on Machine Learning in Materials Science (15 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers) and Computational Drug Discovery Methods (6 papers) and collaborates with scholars based in Switzerland, United States and Germany. Kevin Maik Jablonka's co-authors include Berend Smit, Seyed Mohamad Moosavi, Daniele Ongari, Luc Patiny and Christopher P. Ireland and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.
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