Kamalika Das
About
Kamalika Das is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science.
According to data from OpenAlex, Kamalika Das has authored 18 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Sociology and Political Science. Recurrent topics in Kamalika Das’s work include Anomaly Detection Techniques and Applications (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Topic Modeling (3 papers). Kamalika Das is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Topic Modeling (3 papers). Kamalika Das collaborates with scholars based in United States, Italy and Canada. Kamalika Das's co-authors include Kanishka Bhaduri, Michal Segal‐Rozenhaimer, Ved Chirayath, Alan Li, Hillol Kargupta, Bryan Matthews, Rodney Martin, Santanu Das, Nikunj C. Oza and Phuong T. Nguyen and has published in prestigious journals such as Remote Sensing of Environment, Lecture notes in computer science and Knowledge and Information Systems.
In The Last Decade
Co-authorship network of co-authors of Kamalika Das i
Fields of papers citing papers by Kamalika Das
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 Kamalika Das. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kamalika Das may publish in the future.
Countries citing papers authored by Kamalika Das
Since SpecializationCitations
This map shows the geographic impact of Kamalika Das'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 Kamalika Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamalika Das more than expected).
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