Aniruddh Nath

About

Aniruddh Nath is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Aniruddh Nath has authored 10 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in Aniruddh Nath’s work include Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Aniruddh Nath is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Aniruddh Nath collaborates with scholars based in United States, India and Singapore. Aniruddh Nath's co-authors include Pedro Domingos, Parag Singla, Matthew Richardson, Hoifung Poon, Zhe Zhao, Lichan Hong, Ed H., Stanley Kok, Daniel Lowd and Shawn Andrews and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Aniruddh Nath i

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Fields of papers citing papers by Aniruddh Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aniruddh Nath

Since Specialization

Citations

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