John G. Hagedorn

29 papers and 776 indexed citations i.

About

John G. Hagedorn is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, John G. Hagedorn has authored 29 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in John G. Hagedorn’s work include Lattice Boltzmann Simulation Studies (5 papers), Theoretical and Computational Physics (3 papers) and Power Transformer Diagnostics and Insulation (3 papers). John G. Hagedorn is often cited by papers focused on Lattice Boltzmann Simulation Studies (5 papers), Theoretical and Computational Physics (3 papers) and Power Transformer Diagnostics and Insulation (3 papers). John G. Hagedorn collaborates with scholars based in United States, Japan and Germany. John G. Hagedorn's co-authors include Judith E. Terrill, J E. Devaney, Nicos Martys, Steven G. Satterfield and John T. Kelso and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Macromolecules and Cement and Concrete Research.

In The Last Decade

Fields of papers citing papers by John G. Hagedorn

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

Countries citing papers authored by John G. Hagedorn

Since Specialization
Citations

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

Rankless by CCL
2025