Aniruddh Nath

483 total citations
11 papers, 273 citations indexed

About

Aniruddh Nath is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Aniruddh Nath has authored 11 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 4 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 Logic, Reasoning, and Knowledge (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 Logic, Reasoning, and Knowledge (2 papers). Aniruddh Nath collaborates with scholars based in United States, United Kingdom and India. Aniruddh Nath's co-authors include Pedro Domingos, Shawn Andrews, Lichan Hong, Zhe Zhao, Wei Li, Jilin Chen, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. and Parag Singla and has published in prestigious journals such as National Conference on Artificial Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Aniruddh Nath

9 papers receiving 251 citations

Peers

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).

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.

Co-authorship network of co-authors of Aniruddh Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Aniruddh Nath. A scholar is included among the top collaborators of Aniruddh Nath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aniruddh Nath. Aniruddh Nath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems 2024 ·(unknown), (unknown), Aniruddh Nath, Shawn Andrews, (unknown), (unknown), (unknown), Maciej Kula, (unknown), Zhe Zhao, Lichan Hong, Ed H.	0
2	Counting-MLNs: Learning Relational Structure for Decision Making 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Aniruddh Nath, Matthew Richardson	0
3	Recommending what video to watch next 2019 ·Zhe Zhao, Lichan Hong, Wei Li, Jilin Chen, Aniruddh Nath, Shawn Andrews, (unknown), Maheswaran Sathiamoorthy, Xinyang Yi, Ed H.	174
4	Learning Tractable Probabilistic Models for Fault Localization 2016 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Aniruddh Nath, Pedro Domingos	13
5	Learning Relational Sum-Product Networks 2015 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Aniruddh Nath, Pedro Domingos	18
6	Learning tractable statistical relational models 2014 ·National Conference on Artificial Intelligence ·Aniruddh Nath, Pedro Domingos	2
7	Approximate Lifting Techniques for Belief Propagation 2014 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Parag Singla, Aniruddh Nath, Pedro Domingos	15
8	Approximate lifted belief propagation 2010 ·National Conference on Artificial Intelligence ·Parag Singla, Aniruddh Nath, Pedro Domingos	10
9	Efficient Lifting for Online Probabilistic Inference 2010 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Aniruddh Nath, Pedro Domingos	11
10	Efficient Belief Propagation for Utility Maximization and Repeated Inference 2010 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Aniruddh Nath, Pedro Domingos	17
11	A Language for Relational Decision Theory 2009 ·Aniruddh Nath, Pedro Domingos	13

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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