Anirban Laha
About
Anirban Laha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations.
According to data from OpenAlex, Anirban Laha has authored 7 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Anirban Laha’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (2 papers). Anirban Laha is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (2 papers). Anirban Laha collaborates with scholars based in India, United States and Canada. Anirban Laha's co-authors include Mitesh M. Khapra, Preksha Nema, Balaraman Ravindran, Karthik Sankaranarayanan, Parag Jain, Abhijit Mishra, Vikas C. Raykar, Shachar Mirkin, Lili Kotlerman and Guy Lev and has published in prestigious journals such as Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).
In The Last Decade
Co-authorship network of co-authors of Anirban Laha i
Fields of papers citing papers by Anirban Laha
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 Anirban Laha. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Anirban Laha may publish in the future.
Countries citing papers authored by Anirban Laha
Since SpecializationCitations
This map shows the geographic impact of Anirban Laha'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 Anirban Laha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Laha more than expected).
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