Praneeth Vepakomma

13 papers and 158 indexed citations i.

About

Praneeth Vepakomma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Praneeth Vepakomma has authored 13 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Praneeth Vepakomma’s work include Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Face and Expression Recognition (3 papers). Praneeth Vepakomma is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Face and Expression Recognition (3 papers). Praneeth Vepakomma collaborates with scholars based in United States, Finland and Australia. Praneeth Vepakomma's co-authors include Ramesh Raskar, Emily Zhang, Abhishek Singh, Jihong Park and Ahmed Elgammal and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, Discrete Applied Mathematics and Applied and Computational Harmonic Analysis.

In The Last Decade

Fields of papers citing papers by Praneeth Vepakomma

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

Countries citing papers authored by Praneeth Vepakomma

Since Specialization
Citations

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

Rankless by CCL
2025