Akshay Kulkarni

About

Akshay Kulkarni is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Akshay Kulkarni has authored 37 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Akshay Kulkarni’s work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Battery Materials and Technologies (3 papers). Akshay Kulkarni is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Battery Materials and Technologies (3 papers). Akshay Kulkarni collaborates with scholars based in India, United States and Latvia. Akshay Kulkarni's co-authors include Varun Jampani, Jogendra Nath Kundu, R. Venkatesh Babu, Amit Kumar Singh, Uday C. Ghoshal, S. N. Mathad, Ankur Gupta, Vinay Kumar, J. Anand Subramony and Sanjay B. Dhok and has published in prestigious journals such as Atmospheric Environment, Fuel and Molecules.

In The Last Decade

Co-authorship network of co-authors of Akshay Kulkarni i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Akshay Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akshay Kulkarni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akshay Kulkarni. The network helps show where Akshay Kulkarni may publish in the future.

Countries citing papers authored by Akshay Kulkarni

Since Specialization

Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact