Varun Chandola

13.4k total citations · 3 hit papers
64 papers, 8.5k citations indexed

About

Varun Chandola is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Varun Chandola has authored 64 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 16 papers in Signal Processing. Recurrent topics in Varun Chandola's work include Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (8 papers) and Machine Learning in Healthcare (8 papers). Varun Chandola is often cited by papers focused on Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (8 papers) and Machine Learning in Healthcare (8 papers). Varun Chandola collaborates with scholars based in United States, United Kingdom and Portugal. Varun Chandola's co-authors include Vipin Kumar, Arindam Banerjee, Shyam Boriah, Ranga Raju Vatsavai, Varun Mithal, Sreenivas R. Sukumar, J.C. Schryver, Anil Cheriyadat, Jordan Long and Jordan Graesser and has published in prestigious journals such as Scientific Reports, IEEE Access and ACM Computing Surveys.

In The Last Decade

Varun Chandola

57 papers receiving 8.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anomaly detection

2009 6.9k citations Varun Chandola, Arindam Banerjee et al. profile →
Anomaly Detection for Discrete Sequences: A Survey

2010 467 citations Varun Chandola, Arindam Banerjee et al. IEEE Transactions on Knowledge and Data Engineering profile →
Similarity Measures for Categorical Data: A Comparative Evaluation

2008 380 citations Shyam Boriah, Varun Chandola et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Varun Chandola United States	16	6.2k	3.5k	2.0k	1.1k	812	64	8.5k
Kai Ming Ting Australia	27	5.0k 0.8×	1.8k 0.5×	1.6k 0.8×	761 0.7×	1000 1.2×	99	7.0k
Markus Breunig Germany	13	6.5k 1.0×	2.2k 0.6×	2.6k 1.3×	786 0.7×	1.4k 1.7×	21	9.6k
Arindam Banerjee United States	35	8.8k 1.4×	3.6k 1.0×	2.6k 1.3×	1.3k 1.2×	2.1k 2.6×	141	13.6k
Christopher Leckie Australia	41	4.5k 0.7×	3.7k 1.1×	1.6k 0.8×	702 0.6×	1.0k 1.2×	261	7.8k
Arthur Zimek Germany	33	4.6k 0.7×	1.2k 0.3×	1.3k 0.6×	484 0.4×	1.1k 1.3×	96	6.4k
João Gama Portugal	46	7.3k 1.2×	1.7k 0.5×	2.2k 1.1×	594 0.5×	892 1.1×	277	10.8k
Fei Tony Liu Australia	8	3.4k 0.5×	1.6k 0.5×	946 0.5×	671 0.6×	302 0.4×	10	4.6k
Rajeev Rastogi United States	42	6.1k 1.0×	3.8k 1.1×	3.2k 1.6×	245 0.2×	1.6k 1.9×	142	10.0k
David M. J. Tax Netherlands	29	3.9k 0.6×	800 0.2×	824 0.4×	1.2k 1.0×	1.8k 2.2×	90	6.6k
Shie Mannor Israel	42	3.9k 0.6×	1.6k 0.5×	707 0.3×	950 0.8×	1.4k 1.7×	252	8.7k

Countries citing papers authored by Varun Chandola

Since Specialization

Citations

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

Fields of papers citing papers by Varun Chandola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Chandola

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Chandola. A scholar is included among the top collaborators of Varun Chandola 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 Varun Chandola. Varun Chandola 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:

20 of 20 papers shown

1.

Chandola, Varun, et al.. (2024). Resource Efficient Bayesian Optimization. 12–19. 1 indexed citations

2.

DesJardin, Paul E., et al.. (2023). Physics informed machine learning for chemistry tabulation. Journal of Computational Science. 69. 102001–102001. 7 indexed citations

3.

Chandola, Varun, et al.. (2021). DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data. IEEE Access. 9. 167592–167604. 1 indexed citations

4.

Żola, Jarosław, et al.. (2021). Graph-based Strategy for Establishing Morphology Similarity. 1 indexed citations

5.

Jiang, Jialiang, Sharon Hewner, & Varun Chandola. (2021). Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding. 9. 138–147. 3 indexed citations

6.

Bisantz, Ann M., et al.. (2020). Cognitive Work Analysis and Visualization Design for the Graduate Admission Decision Making Process. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64(1). 815–819.

7.

Hewner, Sharon, et al.. (2019). Tree-based Regularization for Interpretable Readmission Prediction.. 3 indexed citations

8.

Chandola, Varun, et al.. (2019). longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data. PubMed. 3(4). 441–459. 1 indexed citations

9.

Xie, Ting, et al.. (2018). Similarity Metrics for SQL Query Clustering. IEEE Transactions on Knowledge and Data Engineering. 30(12). 2408–2420. 31 indexed citations

10.

Tran, Van Dinh, Wilson D. Pace, Miriam Dickinson, et al.. (2017). Extracting Deep Phenotypes for Chronic Kidney Disease Using Electronic Health Records. eGEMs (Generating Evidence & Methods to improve patient outcomes). 5(1). 9–9. 4 indexed citations

11.

Chandola, Varun, et al.. (2016). Error Metrics for Learning Reliable Manifolds from Streaming Data. arXiv (Cornell University). 750–758. 3 indexed citations

12.

Chandola, Varun & Ranga Raju Vatsavai. (2014). BigSpatial-2013 workshop report: 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013). 6(1). 18–19.

13.

Vatsavai, Ranga Raju, Christopher T. Symons, Varun Chandola, & Goo Jun. (2011). GX-Means: A model-based divide and merge algorithm for geospatial image clustering. Procedia Computer Science. 4. 186–195. 10 indexed citations

14.

Chandola, Varun & Ranga Raju Vatsavai. (2011). A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. 95–106. 35 indexed citations

15.

Chandola, Varun & Ranga Raju Vatsavai. (2010). SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS. Scopus. 69–82. 15 indexed citations

16.

Chandola, Varun & Ranga Raju Vatsavai. (2010). MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH. Scopus. 258–270. 4 indexed citations

17.

Chandola, Varun, Arindam Banerjee, & Vipin Kumar. (2010). Anomaly Detection for Discrete Sequences: A Survey. IEEE Transactions on Knowledge and Data Engineering. 24(5). 823–839. 467 indexed citations breakdown →

18.

Das, Debasish, Auroop R. Ganguly, Varun Chandola, et al.. (2009). Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data. Knowledge Discovery and Data Mining.

19.

Chandola, Varun, Varun Mithal, & Vipin Kumar. (2008). Comparative Evaluation of Anomaly Detection Techniques for Sequence Data. 743–748. 102 indexed citations

20.

Boriah, Shyam, Varun Chandola, & Vipin Kumar. (2008). Similarity Measures for Categorical Data: A Comparative Evaluation. 243–254. 380 indexed citations breakdown →

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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