Brian Quanz

11 papers and 85 indexed citations i.

About

Brian Quanz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Brian Quanz has authored 11 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Cognitive Neuroscience. Recurrent topics in Brian Quanz’s work include Machine Learning and Data Classification (2 papers), Supply Chain and Inventory Management (2 papers) and Scheduling and Optimization Algorithms (2 papers). Brian Quanz is often cited by papers focused on Machine Learning and Data Classification (2 papers), Supply Chain and Inventory Management (2 papers) and Scheduling and Optimization Algorithms (2 papers). Brian Quanz collaborates with scholars based in United States, India and Ireland. Brian Quanz's co-authors include Jun Huan, Pavithra Harsha, Ιoannis Spantidakis, Pin‐Yu Chen, Ashish Jagmohan, Jae‐wook Ahn, Divya Singhvi, Georgia Perakis, Payel Das and Jayant Kalagnanam and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and Manufacturing & Service Operations Management.

In The Last Decade

Co-authorship network of co-authors of Brian Quanz i

Fields of papers citing papers by Brian Quanz

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

Countries citing papers authored by Brian Quanz

Since Specialization
Citations

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

Rankless by CCL
2025