Mayank Agrawal

8 papers and 155 indexed citations i.

About

Mayank Agrawal is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mayank Agrawal has authored 8 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Mayank Agrawal’s work include Psychology of Moral and Emotional Judgment (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Efficiency Analysis Using DEA (1 paper). Mayank Agrawal is often cited by papers focused on Psychology of Moral and Emotional Judgment (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Efficiency Analysis Using DEA (1 paper). Mayank Agrawal collaborates with scholars based in United States, India and Italy. Mayank Agrawal's co-authors include Joshua C. Peterson, Thomas L. Griffiths, David Bourgin, Daniel Reichman, Marcelo G. Mattar, Jonathan D. Cohen, Nathaniel D. Daw, Jonathan Cohen and R. C. Prasad and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Psychological Review.

In The Last Decade

Co-authorship network of co-authors of Mayank Agrawal i

Fields of papers citing papers by Mayank Agrawal

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

Countries citing papers authored by Mayank Agrawal

Since Specialization
Citations

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

Rankless by CCL
2025