Gagan Bansal

16 papers and 750 indexed citations i.

About

Gagan Bansal is a scholar working on Artificial Intelligence, Safety Research and Management Information Systems. According to data from OpenAlex, Gagan Bansal has authored 16 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Safety Research and 6 papers in Management Information Systems. Recurrent topics in Gagan Bansal’s work include Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (7 papers) and Big Data and Business Intelligence (6 papers). Gagan Bansal is often cited by papers focused on Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (7 papers) and Big Data and Business Intelligence (6 papers). Gagan Bansal collaborates with scholars based in United States, United Kingdom and Finland. Gagan Bansal's co-authors include Daniel S. Weld, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld, Walter S. Lasecki, Tongshuang Wu, Joyce Zhou, Marco Túlio Ribeiro and Raymond Fok and has published in prestigious journals such as Communications of the ACM, ACM Transactions on Computer-Human Interaction and Computers & Electrical Engineering.

In The Last Decade

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

Fields of papers citing papers by Gagan 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 Gagan Bansal. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gagan Bansal may publish in the future.

Countries citing papers authored by Gagan Bansal

Since Specialization
Citations

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

Rankless by CCL
2025