Jake Graser

7 papers and 554 indexed citations i.

About

Jake Graser is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Jake Graser has authored 7 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 2 papers in Computational Theory and Mathematics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Jake Graser’s work include Machine Learning in Materials Science (3 papers), X-ray Diffraction in Crystallography (3 papers) and Computational Drug Discovery Methods (2 papers). Jake Graser is often cited by papers focused on Machine Learning in Materials Science (3 papers), X-ray Diffraction in Crystallography (3 papers) and Computational Drug Discovery Methods (2 papers). Jake Graser collaborates with scholars based in United States, Jordan and Brazil. Jake Graser's co-authors include Taylor D. Sparks, Steven K. Kauwe, Ryan Murdock, Yuan Wang, Michael J. O’Connell, Fei Gao, Ran Zhao, Chengwei Wang, Guillaume Lheureux and Steven P. DenBaars and has published in prestigious journals such as ACS Nano, Chemistry of Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Jake Graser i

Fields of papers citing papers by Jake Graser

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

Countries citing papers authored by Jake Graser

Since Specialization
Citations

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

Rankless by CCL
2025