Kumar Shridhar

11 papers and 86 indexed citations i.

About

Kumar Shridhar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kumar Shridhar has authored 11 papers receiving a total of 86 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 Information Systems. Recurrent topics in Kumar Shridhar’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kumar Shridhar is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kumar Shridhar collaborates with scholars based in Switzerland, United States and Sweden. Kumar Shridhar's co-authors include Mrinmaya Sachan, Felix Laumann, Denis Kleyko, Marcus Liwicki, Akshat Agarwal, Pedro Alonso, Mennatallah El‐Assady, Tanmay Sinha, Manu Kapur and Evgeny Osipov and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Kumar Shridhar i

Fields of papers citing papers by Kumar Shridhar

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

Countries citing papers authored by Kumar Shridhar

Since Specialization
Citations

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

Rankless by CCL
2025