Rajiv Khanna

15 papers and 354 indexed citations i.

About

Rajiv Khanna is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajiv Khanna has authored 15 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajiv Khanna’s work include Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Rajiv Khanna is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Rajiv Khanna collaborates with scholars based in United States, Germany and India. Rajiv Khanna's co-authors include Oluwasanmi Koyejo, Been Kim, Soumen Chakrabarti, Alexandros G. Dimakis, Sahand Negahban, Ethan R. Elenberg, Joydeep Ghosh, Anastasios Kyrillidis, Sanmi Koyejo and Francesco Locatello and has published in prestigious journals such as The Annals of Statistics, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Rajiv Khanna i

Fields of papers citing papers by Rajiv Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajiv Khanna. 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 Rajiv Khanna. The network helps show where Rajiv Khanna may publish in the future.

Countries citing papers authored by Rajiv Khanna

Since Specialization
Citations

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

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2025