Partha Pakray
About
Partha Pakray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics.
According to data from OpenAlex, Partha Pakray has authored 76 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Theory and Mathematics. Recurrent topics in Partha Pakray’s work include Natural Language Processing Techniques (50 papers), Topic Modeling (49 papers) and Multimodal Machine Learning Applications (18 papers). Partha Pakray is often cited by papers focused on Natural Language Processing Techniques (50 papers), Topic Modeling (49 papers) and Multimodal Machine Learning Applications (18 papers). Partha Pakray collaborates with scholars based in India, Mexico and Norway. Partha Pakray's co-authors include Alexander Gelbukh, Sivaji Bandyopadhyay, Ranjita Das, David Pinto, Arnab Kumar Maji, Dipankar Das, Soujanya Poria, Badal Soni, Santanu Pal and Sudip Kumar Naskar and has published in prestigious journals such as ACM Computing Surveys, Physica A Statistical Mechanics and its Applications and Neural Computing and Applications.
In The Last Decade
Co-authorship network of co-authors of Partha Pakray i
Fields of papers citing papers by Partha Pakray
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 Partha Pakray. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Partha Pakray may publish in the future.
Countries citing papers authored by Partha Pakray
Since SpecializationCitations
This map shows the geographic impact of Partha Pakray'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 Partha Pakray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Pakray more than expected).
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