Brian Klahn

About

Brian Klahn is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Brian Klahn has authored 5 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Brian Klahn’s work include COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Brian Klahn is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Brian Klahn collaborates with scholars based in United States and Germany. Brian Klahn's co-authors include Parantapa Bhattacharya, Dustin Machi, Bryan Lewis, Mandy Wilson and Stefan Hoops and has published in prestigious journals such as Journal of Biotechnology, Journal of Parallel and Distributed Computing and Epidemics.

In The Last Decade

Fields of papers citing papers by Brian Klahn

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

Countries citing papers authored by Brian Klahn

Since Specialization

Citations

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

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