Johannes Hachmann

29 papers and 2.2k indexed citations i.

About

Johannes Hachmann is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry. According to data from OpenAlex, Johannes Hachmann has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 9 papers in Computational Theory and Mathematics and 8 papers in Physical and Theoretical Chemistry. Recurrent topics in Johannes Hachmann’s work include 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). Johannes Hachmann 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 Şule Atahan-Evrenk 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

Fields of papers citing papers by Johannes Hachmann

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Johannes Hachmann. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Johannes Hachmann may publish in the future.

Countries citing papers authored by Johannes Hachmann

Since Specialization
Citations

This map shows the geographic impact of Johannes Hachmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Johannes Hachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Hachmann more than expected).

Rankless by CCL
2025