Chandrabose Aravindan

900 total citations
57 papers, 473 citations indexed

About

Chandrabose Aravindan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Chandrabose Aravindan has authored 57 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Theory and Mathematics. Recurrent topics in Chandrabose Aravindan's work include Topic Modeling (9 papers), Logic, Reasoning, and Knowledge (7 papers) and Natural Language Processing Techniques (6 papers). Chandrabose Aravindan is often cited by papers focused on Topic Modeling (9 papers), Logic, Reasoning, and Knowledge (7 papers) and Natural Language Processing Techniques (6 papers). Chandrabose Aravindan collaborates with scholars based in India, United States and Thailand. Chandrabose Aravindan's co-authors include S. M. Jaisakthi, P. Mirunalini, R. Rajalakshmi, Rajagopal Appavu, D. Thenmozhi, S. Balakrishnan, B. Rajesh Kanna, K. Kannan, Phan Minh Dũng and Ilkka Niemelä and has published in prestigious journals such as Applied Soft Computing, The International Journal of Advanced Manufacturing Technology and Image and Vision Computing.

In The Last Decade

Chandrabose Aravindan

51 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandrabose Aravindan India	11	264	128	66	58	53	57	473
Abdullah Almuhaimeed Saudi Arabia	13	194 0.7×	68 0.5×	105 1.6×	27 0.5×	34 0.6×	26	554
Wasim Ahmad Khan Pakistan	9	195 0.7×	84 0.7×	113 1.7×	45 0.8×	36 0.7×	24	472
Nitin Pise India	7	245 0.9×	156 1.2×	84 1.3×	47 0.8×	36 0.7×	29	425
Shinsuke Tamura Japan	11	92 0.3×	43 0.3×	70 1.1×	31 0.5×	33 0.6×	51	358
Alhassan Mabrouk Egypt	12	203 0.8×	58 0.5×	54 0.8×	26 0.4×	26 0.5×	12	378
Hwan-Seung Yong South Korea	11	217 0.8×	66 0.5×	136 2.1×	129 2.2×	43 0.8×	33	596
Norian Marranghello Brazil	8	89 0.3×	78 0.6×	46 0.7×	18 0.3×	19 0.4×	27	243
Sourav Dutta India	11	132 0.5×	45 0.4×	63 1.0×	116 2.0×	13 0.2×	46	541
Hamed Tabrizchi Iran	9	206 0.8×	52 0.4×	46 0.7×	230 4.0×	31 0.6×	24	518
Spiros V. Georgakopoulos Greece	8	194 0.7×	77 0.6×	71 1.1×	49 0.8×	9 0.2×	30	400

Countries citing papers authored by Chandrabose Aravindan

Since Specialization

Citations

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

Fields of papers citing papers by Chandrabose Aravindan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandrabose Aravindan

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

All Works

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20 of 20 papers shown

Thenmozhi, D., et al.. (2020). Transformers in Semantic Indexing of Clinical Codes.. CLEF (Working Notes). 3 indexed citations

Thenmozhi, D., et al.. (2019). SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches.. 439–444. 5 indexed citations

Thenmozhi, D., et al.. (2019). Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding.. 100–104. 1 indexed citations

Thenmozhi, D., et al.. (2019). Early Detection of Anorexia using RNN-LSTM and SVM Classifiers.. CLEF (Working Notes). 4 indexed citations

Jaisakthi, S. M., P. Mirunalini, & Chandrabose Aravindan. (2019). Coral Reef Annotation and Localization using Faster R-CNN. CLEF (Working Notes). 2380. 1 indexed citations

Thenmozhi, D., et al.. (2019). Classification of Insincere Questions using SGD Optimization and SVM Classifiers.. 463–467. 1 indexed citations

Thenmozhi, D., et al.. (2019). Legal Assistance using Word Embeddings.. 36–39. 6 indexed citations

Thenmozhi, D., et al.. (2019). SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches. 739–744. 3 indexed citations

Thenmozhi, D., et al.. (2019). Extracting Protests from News Using LSTM models with different Attention Mechanisms.. CLEF (Working Notes). 1 indexed citations

10.

Mirunalini, P., et al.. (2018). Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction.. CLEF (Working Notes). 2 indexed citations

11.

Rajalakshmi, R. & Chandrabose Aravindan. (2018). A Naive Bayes approach for URL classification with supervised feature selection and rejection framework. Computational Intelligence. 34(1). 363–396. 30 indexed citations

12.

Thenmozhi, D., et al.. (2018). Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations.. 323–331. 1 indexed citations

13.

Thenmozhi, D., et al.. (2018). SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages.. 187–201. 4 indexed citations

14.

Thenmozhi, D., et al.. (2017). A Text Similarity Approach for Precedence Retrieval from Legal Documents.. 90–91. 7 indexed citations

15.

Thenmozhi, D., P. Mirunalini, & Chandrabose Aravindan. (2016). Decision Tree Approach for Consumer Health Information Search.. 221–225.

16.

Kanna, B. Rajesh, Chandrabose Aravindan, & K. Kannan. (2012). Development of yConvex hypergraph model for contour-based image analysis. 1570. 1–5.

17.

Aravindan, Chandrabose, et al.. (2003). Artificial Neural Network For The Simultaneous Estimation Of Multicomponent Sample By UV Spectrophotometry. Indian Journal of Pharmaceutical Sciences. 65(3). 274–278. 1 indexed citations

18.

Aravindan, Chandrabose & Peter Baumgartner. (2000). Theorem Proving Techniques for View Deletion in Databases. Journal of Symbolic Computation. 29(2). 119–147. 5 indexed citations

19.

Aravindan, Chandrabose, Jürgen Dix, & Ilkka Niemelä. (1997). DisLoPc a research project on Disjunctive Logic Programming. 10(3). 151–165. 14 indexed citations

20.

Aravindan, Chandrabose, et al.. (1995). On the correctness of unfold/fold transformation of normal and extended logic programs. The Journal of Logic Programming. 24(3). 201–217. 18 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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