Karl Murphy
About
Karl Murphy is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence.
According to data from OpenAlex, Karl Murphy has authored 12 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Karl Murphy’s work include Robotic Path Planning Algorithms (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Robotics and Sensor-Based Localization (2 papers). Karl Murphy is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Robotics and Sensor-Based Localization (2 papers). Karl Murphy collaborates with scholars based in United States. Karl Murphy's co-authors include Frederick M. Proctor, Steven Legowik, Alberto Lacaze, Harry A. Scott, Roger Bostelman, S. Szabó, Stephen Balakirsky, Tsai Hong Hong, Tommy Chang and Michael Shneier and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.
In The Last Decade
Co-authorship network of co-authors of Karl Murphy i
Fields of papers citing papers by Karl Murphy
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 Karl Murphy. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Karl Murphy may publish in the future.
Countries citing papers authored by Karl Murphy
Since SpecializationCitations
This map shows the geographic impact of Karl Murphy'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 Karl Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Murphy more than expected).
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