Martin Grepl

45 papers and 1.1k indexed citations i.

About

Martin Grepl is a scholar working on Statistical and Nonlinear Physics, Organic Chemistry and Computational Mechanics. According to data from OpenAlex, Martin Grepl has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 19 papers in Organic Chemistry and 17 papers in Computational Mechanics. Recurrent topics in Martin Grepl’s work include Model Reduction and Neural Networks (21 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Probabilistic and Robust Engineering Design (9 papers). Martin Grepl is often cited by papers focused on Model Reduction and Neural Networks (21 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Probabilistic and Robust Engineering Design (9 papers). Martin Grepl collaborates with scholars based in Germany, Czechia and United States. Martin Grepl's co-authors include Anthony T. Patera, Ngoc Cuong Nguyen, Yvon Maday, Karen Veroy, Jens L. Eftang, Miroslav Soural, Marcus J. Moeller, Pavel Hradil, Sébastien Boyaval and Jan Hlaváč and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and The Journal of Organic Chemistry.

In The Last Decade

Co-authorship network of co-authors of Martin Grepl i

Fields of papers citing papers by Martin Grepl

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

Countries citing papers authored by Martin Grepl

Since Specialization
Citations

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

Rankless by CCL
2025