Daniel Kumor

About

Daniel Kumor is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Daniel Kumor has authored 4 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Electrical and Electronic Engineering, 1 paper in Materials Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in Daniel Kumor’s work include Photonic and Optical Devices (2 papers), Advanced Semiconductor Detectors and Materials (2 papers) and Machine Learning in Materials Science (1 paper). Daniel Kumor is often cited by papers focused on Photonic and Optical Devices (2 papers), Advanced Semiconductor Detectors and Materials (2 papers) and Machine Learning in Materials Science (1 paper). Daniel Kumor collaborates with scholars based in United States. Daniel Kumor's co-authors include Francesco Marsili, Elias Bareinboim, Robert D. Horansky, Andrew D. Beyer and Sae Woo Nam and has published in prestigious journals such as Applied Physics Letters.

In The Last Decade

Fields of papers citing papers by Daniel Kumor

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

Countries citing papers authored by Daniel Kumor

Since Specialization

Citations

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

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