J. Eschle

5 papers and 10 indexed citations i.

About

J. Eschle is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, J. Eschle has authored 5 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Nuclear and High Energy Physics and 2 papers in Hardware and Architecture. Recurrent topics in J. Eschle’s work include Computational Physics and Python Applications (4 papers), Particle physics theoretical and experimental studies (3 papers) and Parallel Computing and Optimization Techniques (2 papers). J. Eschle is often cited by papers focused on Computational Physics and Python Applications (4 papers), Particle physics theoretical and experimental studies (3 papers) and Parallel Computing and Optimization Techniques (2 papers). J. Eschle collaborates with scholars based in Switzerland, United Kingdom and Italy. J. Eschle's co-authors include A. Puig Navarro, N. Serra, T. Gal, P. Gras, M. Calvi, R. Silva Coutinho, Mosè Giordano, J. Ling, M. Mikhasenko and J. Pivarski and has published in prestigious journals such as SoftwareX, HAL (Le Centre pour la Communication Scientifique Directe) and BOA (University of Milano-Bicocca).

In The Last Decade

Co-authorship network of co-authors of J. Eschle i

Fields of papers citing papers by J. Eschle

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

Countries citing papers authored by J. Eschle

Since Specialization
Citations

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

Rankless by CCL
2025