Craig Sayers
About
Craig Sayers is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering.
According to data from OpenAlex, Craig Sayers has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Mechanical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Craig Sayers’s work include Teleoperation and Haptic Systems (2 papers), Robotics and Automated Systems (2 papers) and Underwater Vehicles and Communication Systems (2 papers). Craig Sayers is often cited by papers focused on Teleoperation and Haptic Systems (2 papers), Robotics and Automated Systems (2 papers) and Underwater Vehicles and Communication Systems (2 papers). Craig Sayers collaborates with scholars based in United States. Craig Sayers's co-authors include Harumi Kuno, Kevin Wilkinson, Dave Reynolds, Richard P. Paul, D. Yoerger, Louis L. Whitcomb, Luping Ding, Alan McReynolds, Swarup Kumar Mohalik and Meichun Hsu and has published in prestigious journals such as IEEE Journal of Oceanic Engineering, PRESENCE Virtual and Augmented Reality and Industrial Robot the international journal of robotics research and application.
In The Last Decade
Co-authorship network of co-authors of Craig Sayers i
Fields of papers citing papers by Craig Sayers
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 Craig Sayers. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Craig Sayers may publish in the future.
Countries citing papers authored by Craig Sayers
Since SpecializationCitations
This map shows the geographic impact of Craig Sayers'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 Craig Sayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Sayers more than expected).
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