Daylond Hooper

About

Daylond Hooper is a scholar working on Materials Chemistry, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Daylond Hooper has authored 11 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 3 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Daylond Hooper’s work include Carbon Nanotubes in Composites (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Daylond Hooper is often cited by papers focused on Carbon Nanotubes in Composites (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Daylond Hooper collaborates with scholars based in United States. Daylond Hooper's co-authors include Benji Maruyama, Pavel Nikolaev, Rahul Rao, G. A. Sargent and Benji Maruyama and has published in prestigious journals such as ACS Nano, The Journal of Physical Chemistry C and Scripta Materialia.

In The Last Decade

Fields of papers citing papers by Daylond Hooper

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

Countries citing papers authored by Daylond Hooper

Since Specialization

Citations

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

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