Neel Kant

About

Neel Kant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cell Biology. According to data from OpenAlex, Neel Kant has authored 2 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Cell Biology. Recurrent topics in Neel Kant’s work include Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Neel Kant is often cited by papers focused on Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Neel Kant collaborates with scholars based in United Kingdom, Canada and Switzerland. Neel Kant's co-authors include Mohammad Shoeybi, Jules Hedges, Wei Ping, Jerry Swan and Bryan Catanzaro and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Neel Kant

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

Countries citing papers authored by Neel Kant

Since Specialization

Citations

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

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