Arin Chaudhuri

423 total citations
9 papers, 195 citations indexed

About

Arin Chaudhuri is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Arin Chaudhuri has authored 9 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Arin Chaudhuri's work include Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (3 papers) and Network Security and Intrusion Detection (2 papers). Arin Chaudhuri is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (3 papers) and Network Security and Intrusion Detection (2 papers). Arin Chaudhuri collaborates with scholars based in United States and China. Arin Chaudhuri's co-authors include Wenhao Hu, David M. Holland, Montserrat Fuentes, Haoyu Wang, Xiaolin Huang, Fan He and Maria Jahja and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Multimedia and Computational Statistics & Data Analysis.

In The Last Decade

Arin Chaudhuri

9 papers receiving 194 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arin Chaudhuri United States	6	68	39	37	26	19	9	195
Sevvandi Kandanaarachchi Australia	10	133 2.0×	34 0.9×	63 1.7×	30 1.2×	36 1.9×	25	329
Jiawei Yao China	10	57 0.8×	22 0.6×	50 1.4×	9 0.3×	17 0.9×	45	313
Nicolas Durrande France	9	125 1.8×	36 0.9×	25 0.7×	4 0.2×	9 0.5×	19	282
David Jin United States	7	60 0.9×	19 0.5×	16 0.4×	19 0.7×	9 0.5×	27	296
Hans Georg Zimmermann Germany	3	115 1.7×	25 0.6×	19 0.5×	6 0.2×	19 1.0×	6	189
Dale Borowiak United States	3	35 0.5×	29 0.7×	24 0.6×	12 0.5×	17 0.9×	6	332
Xie Wei-xin China	11	126 1.9×	37 0.9×	13 0.4×	25 1.0×	17 0.9×	49	298
Amar Mezache Algeria	14	102 1.5×	24 0.6×	8 0.2×	21 0.8×	32 1.7×	57	448
David Côté Canada	7	115 1.7×	29 0.7×	21 0.6×	51 2.0×	71 3.7×	13	314
Jordan Freitas United States	7	127 1.9×	76 1.9×	8 0.2×	13 0.5×	26 1.4×	12	214

Countries citing papers authored by Arin Chaudhuri

Since Specialization

Citations

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

Fields of papers citing papers by Arin Chaudhuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arin Chaudhuri

This figure shows the co-authorship network connecting the top 25 collaborators of Arin Chaudhuri. A scholar is included among the top collaborators of Arin Chaudhuri 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 Arin Chaudhuri. Arin Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chaudhuri, Arin, et al.. (2023). Computational Enhancements to the Mahalanobis-Taguchi System to Improve Fault Detection and Diagnostics. 1–7. 1 indexed citations

2.

Chaudhuri, Arin, et al.. (2023). A new method to improve the efficiency and accuracy of incremental singular value decomposition. Electronic Journal of Linear Algebra. 39. 355–378. 1 indexed citations

3.

Chaudhuri, Arin, et al.. (2020). The trace kernel bandwidth criterion for support vector data description. Pattern Recognition. 111. 107662–107662. 8 indexed citations

4.

Chaudhuri, Arin & Wenhao Hu. (2019). A fast algorithm for computing distance correlation. Computational Statistics & Data Analysis. 135. 15–24. 42 indexed citations

5.

Huang, Xiaolin, et al.. (2019). Online Robust Principal Component Analysis With Change Point Detection. IEEE Transactions on Multimedia. 22(1). 59–68. 18 indexed citations

6.

Chaudhuri, Arin, et al.. (2019). Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection. arXiv (Cornell University). 4201–4207. 32 indexed citations

7.

Wang, Haoyu, et al.. (2019). Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3991–3998. 36 indexed citations

8.

Chaudhuri, Arin, et al.. (2018). Sampling Method for Fast Training of Support Vector Data Description. arXiv (Cornell University). 12. 1–7. 4 indexed citations

9.

Fuentes, Montserrat, Arin Chaudhuri, & David M. Holland. (2007). Bayesian entropy for spatial sampling design of environmental data. Environmental and Ecological Statistics. 14(3). 323–340. 53 indexed citations

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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