Stefan Doerr

14 papers and 1.5k indexed citations i.

About

Stefan Doerr is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Stefan Doerr has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Stefan Doerr’s work include Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers) and Computational Drug Discovery Methods (6 papers). Stefan Doerr is often cited by papers focused on Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers) and Computational Drug Discovery Methods (6 papers). Stefan Doerr collaborates with scholars based in Spain, United States and Germany. Stefan Doerr's co-authors include Gianni De Fabritiis, Frank Noé, Gerard Martínez-Rosell, José Jiménez-Luna, Alexander Rose, M J Harvey, Nuria Plattner, Adrià Pérez, Toni Giorgino and Maciej Majewski and has published in prestigious journals such as Bioinformatics, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Stefan Doerr i

Fields of papers citing papers by Stefan Doerr

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 Stefan Doerr. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Stefan Doerr may publish in the future.

Countries citing papers authored by Stefan Doerr

Since Specialization
Citations

This map shows the geographic impact of Stefan Doerr'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 Stefan Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Doerr more than expected).

Rankless by CCL
2025