Michael Feindt

6 papers and 25 indexed citations i.

Michael Feindt has authored 6 papers that have received a total of 25 indexed citations. This includes 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 2 papers in Economics and Econometrics. The topics of these papers are High-Energy Particle Collisions Research (1 paper), Machine Learning in Healthcare (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). Michael Feindt is often cited by papers focused on High-Energy Particle Collisions Research (1 paper), Machine Learning in Healthcare (1 paper) and Lanthanide and Transition Metal Complexes (1 paper) and collaborates with scholars based in Germany, France and Australia. Michael Feindt's co-authors include U. Kerzel, F. Wick, Young Shin Kim, Svetlozar T. Rachev and Martin E. Hahn and has published in prestigious journals such as Physics Letters A and Studies in Nonlinear Dynamics and Econometrics