Arjun Akula

About

Arjun Akula is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arjun Akula has authored 13 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arjun Akula’s work include Multimodal Machine Learning Applications (7 papers), Topic Modeling (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Arjun Akula is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Topic Modeling (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Arjun Akula collaborates with scholars based in United States, China and India. Arjun Akula's co-authors include Song‐Chun Zhu, Shuai Wang, Spandana Gella, Yaser Al-Onaizan, Siva Reddy, Soravit Changpinyo, Siniša Todorović, Hongjing Lu, Keze Wang and Sari Saba-Sadiya and has published in prestigious journals such as iScience, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Arjun Akula i

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Fields of papers citing papers by Arjun Akula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arjun Akula

Since Specialization

Citations

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