Trapit Bansal

10 papers and 152 indexed citations i.

About

Trapit Bansal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Trapit Bansal has authored 10 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Trapit Bansal’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Trapit Bansal is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Trapit Bansal collaborates with scholars based in United States, India and Denmark. Trapit Bansal's co-authors include Andrew McCallum, Tsendsuren Munkhdalai, Patrick Verga, Ilya Sutskever, Szymon Sidor, Jakub Pachocki, Igor Mordatch, Ravindran Kannan, Chiranjib Bhattacharyya and Neha Choudhary and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Trapit Bansal i

Fields of papers citing papers by Trapit Bansal

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

Countries citing papers authored by Trapit Bansal

Since Specialization
Citations

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

Rankless by CCL
2025