Arjun Subramonian

About

Arjun Subramonian is a scholar working on Artificial Intelligence, Safety Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Arjun Subramonian has authored 9 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Safety Research and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Arjun Subramonian’s work include Ethics and Social Impacts of AI (3 papers), Advanced Graph Neural Networks (2 papers) and Complex Network Analysis Techniques (2 papers). Arjun Subramonian is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Advanced Graph Neural Networks (2 papers) and Complex Network Analysis Techniques (2 papers). Arjun Subramonian collaborates with scholars based in United States, Germany and United Arab Emirates. Arjun Subramonian's co-authors include Ziniu Hu, Susan Realegeno, Omai B. Garner, Dino Di Carlo, Derek Tseng, Leanne Mortimer, Aydogan Özcan, Yizhou Sun, Zheng Yong and Holy Lovenia and has published in prestigious journals such as The Astronomical Journal, IEEE Transactions on Knowledge and Data Engineering and ACS Photonics.

In The Last Decade

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

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Fields of papers citing papers by Arjun Subramonian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arjun Subramonian

Since Specialization

Citations

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