Animesh Garg
About
Animesh Garg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering.
According to data from OpenAlex, Animesh Garg has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 31 papers in Control and Systems Engineering. Recurrent topics in Animesh Garg’s work include Robot Manipulation and Learning (30 papers), Reinforcement Learning in Robotics (24 papers) and Multimodal Machine Learning Applications (12 papers). Animesh Garg is often cited by papers focused on Robot Manipulation and Learning (30 papers), Reinforcement Learning in Robotics (24 papers) and Multimodal Machine Learning Applications (12 papers). Animesh Garg collaborates with scholars based in United States, Canada and United Kingdom. Animesh Garg's co-authors include Silvio Savarese, Li Fei-Fei, Yuke Zhu, Michelle A. Lee, Jeannette Bohg, Krishnan Srinivasan, Ken Goldberg, Siddarth Sen, Danfei Xu and Dieter Fox and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Physics and The International Journal of Robotics Research.
In The Last Decade
Co-authorship network of co-authors of Animesh Garg i
Fields of papers citing papers by Animesh Garg
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 Animesh Garg. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Animesh Garg may publish in the future.
Countries citing papers authored by Animesh Garg
Since SpecializationCitations
This map shows the geographic impact of Animesh Garg'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 Animesh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Animesh Garg more than expected).
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