Johannes Hachmann
About
Johannes Hachmann has authored 29 papers that have received a total of 2.1k indexed citations.
This includes 16 papers in Materials Chemistry, 9 papers in Computational Theory and Mathematics and 8 papers in Physical and Theoretical Chemistry. The topics of these papers are Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (9 papers) and Advanced Chemical Physics Studies (6 papers). Johannes Hachmann is often cited by papers focused on Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (9 papers) and Advanced Chemical Physics Studies (6 papers) and collaborates with scholars based in United States, Mexico and Germany. Johannes Hachmann's co-authors include Garnet Kin‐Lic Chan, Mojtaba Haghighatlari, Alán Aspuru‐Guzik, Mohammad Atif Faiz Afzal and Roberto Olivares‐Amaya and has published in prestigious journals such as The Journal of Chemical Physics, Energy & Environmental Science and The Journal of Physical Chemistry B.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by J. M. J. M. Zijlmans Breakdown of academic impact, for papers by Jürgen Radons Breakdown of academic impact, for papers by Gabriel N. Hortobagyi Breakdown of academic impact, for papers by Pierre E. Rouvière Breakdown of academic impact, for papers by Elisabet Helsing Breakdown of academic impact, for papers by Martin L. Gnyp Breakdown of academic impact, for papers by Gerard J. Holzmann Breakdown of academic impact, for papers by Philippe Rousselot