Katherine Driggs-Campbell
About
Katherine Driggs-Campbell is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Katherine Driggs-Campbell has authored 40 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Automotive Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Katherine Driggs-Campbell’s work include Autonomous Vehicle Technology and Safety (19 papers), Anomaly Detection Techniques and Applications (11 papers) and Reinforcement Learning in Robotics (11 papers). Katherine Driggs-Campbell is often cited by papers focused on Autonomous Vehicle Technology and Safety (19 papers), Anomaly Detection Techniques and Applications (11 papers) and Reinforcement Learning in Robotics (11 papers). Katherine Driggs-Campbell collaborates with scholars based in United States, Sweden and China. Katherine Driggs-Campbell's co-authors include Mykel J. Kochenderfer, Růžena Bajcsy, Zhe Huang, Roy Dong and S. Shankar Sastry and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters.
In The Last Decade
Fields of papers citing papers by Katherine Driggs-Campbell
Since SpecializationEngineeringComputer 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 Katherine Driggs-Campbell. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Katherine Driggs-Campbell may publish in the future.
Countries citing papers authored by Katherine Driggs-Campbell
Since SpecializationCitations
This map shows the geographic impact of Katherine Driggs-Campbell'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 Katherine Driggs-Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Driggs-Campbell more than expected).
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