Aniruddh Nath

19 total papers · 479 total citations
11 papers, 270 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 270 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 Recommender Systems and Techniques (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 Recommender Systems and Techniques (2 papers). Aniruddh Nath collaborates with scholars based in United States, India and United Kingdom. Aniruddh Nath's co-authors include Pedro Domingos, Wei Li, Maheswaran Sathiamoorthy, Xinyang Yi, Zhe Zhao, Shawn Andrews, Ed H., Jilin Chen, Lichan Hong 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 248 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aniruddh Nath	175	134	69	46	37	11	270
Doris Xin	167 1.0×	61 0.5×	55 0.8×	37 0.8×	40 1.1×	10	291
Paolo Tomeo	184 1.1×	256 1.9×	62 0.9×	69 1.5×	46 1.2×	15	314
Marcel Genzmehr	140 0.8×	198 1.5×	48 0.7×	39 0.8×	15 0.4×	7	251
Erion Çano	120 0.7×	167 1.2×	59 0.9×	26 0.6×	33 0.9×	9	250
Pigi Kouki	194 1.1×	161 1.2×	49 0.7×	61 1.3×	23 0.6×	9	279
Joachim Jansen	170 1.0×	66 0.5×	66 1.0×	16 0.3×	44 1.2×	8	297
Jiankai Sun	149 0.9×	175 1.3×	32 0.5×	46 1.0×	29 0.8×	12	250
Junshuai Song	201 1.1×	198 1.5×	62 0.9×	43 0.9×	35 0.9×	11	309
Jo Devriendt	180 1.0×	54 0.4×	65 0.9×	18 0.4×	46 1.2×	10	299
Ying Qiao	231 1.3×	215 1.6×	55 0.8×	24 0.5×	50 1.4×	22	322

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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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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