Chandan Gautam

410 total citations
19 papers, 263 citations indexed

About

Chandan Gautam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chandan Gautam has authored 19 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Chandan Gautam's work include Domain Adaptation and Few-Shot Learning (7 papers), Machine Learning and ELM (6 papers) and Face and Expression Recognition (6 papers). Chandan Gautam is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Machine Learning and ELM (6 papers) and Face and Expression Recognition (6 papers). Chandan Gautam collaborates with scholars based in India, Singapore and Denmark. Chandan Gautam's co-authors include Vadlamani Ravi, Aruna Tiwari, M. Tanveer, Ponnuthurai Nagaratnam Suganthan, Suresh Sundaram, Shuihua Wang‎, Bharat Richhariya, Kumar Ravi, Hari Mohan Pandey and Vinay Kumar Verma and has published in prestigious journals such as Information Sciences, Neurocomputing and Neural Networks.

In The Last Decade

Chandan Gautam

17 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandan Gautam India 10 199 91 34 30 23 19 263
Albert H.R. Ko Canada 6 272 1.4× 111 1.2× 34 1.0× 22 0.7× 25 1.1× 9 380
E. K. Tang Singapore 5 302 1.5× 165 1.8× 38 1.1× 22 0.7× 22 1.0× 6 465
Tarek M. Hamdani Tunisia 9 154 0.8× 155 1.7× 16 0.5× 19 0.6× 19 0.8× 56 325
Prabhjot Kaur India 11 153 0.8× 50 0.5× 41 1.2× 37 1.2× 29 1.3× 48 294
Khalid Benabdeslem France 8 189 0.9× 114 1.3× 22 0.6× 23 0.8× 25 1.1× 28 295
Mohammed Falah Mohammed Malaysia 9 187 0.9× 88 1.0× 24 0.7× 14 0.5× 27 1.2× 16 263
Jiwen Guan United Kingdom 4 144 0.7× 54 0.6× 37 1.1× 19 0.6× 24 1.0× 10 263
Marthinus Christoffel du Plessis Japan 8 319 1.6× 77 0.8× 19 0.6× 12 0.4× 19 0.8× 14 404

Countries citing papers authored by Chandan Gautam

Since Specialization
Citations

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

Fields of papers citing papers by Chandan Gautam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandan Gautam

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

All Works

19 of 19 papers shown
1.
2.
Cao, Zhen, Yang Guo, Chandan Gautam, et al.. (2025). Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-series Data. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.
3.
Gautam, Chandan, et al.. (2022). Tf-GCZSL: Task-free generalized continual zero-shot learning. Neural Networks. 155. 487–497. 12 indexed citations
4.
Gautam, Chandan, et al.. (2022). Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. 6127–6140. 4 indexed citations
5.
Gautam, Chandan, et al.. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation. 13(2). 552–569. 2 indexed citations
6.
Gautam, Chandan, Aruna Tiwari, & M. Tanveer. (2020). AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cognitive Computation. 12(2). 412–425. 7 indexed citations
7.
Gautam, Chandan, Aruna Tiwari, Bharat Richhariya, et al.. (2019). Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks. 123. 191–216. 24 indexed citations
8.
Tanveer, M., Chandan Gautam, & Ponnuthurai Nagaratnam Suganthan. (2019). Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Applied Soft Computing. 83. 105617–105617. 47 indexed citations
9.
Gautam, Chandan, Aruna Tiwari, & M. Tanveer. (2019). KOC+: Kernel ridge regression based one-class classification using privileged information. Information Sciences. 504. 324–333. 13 indexed citations
10.
Gautam, Chandan, et al.. (2019). Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 1–16. 17 indexed citations
11.
Gautam, Chandan & Aruna Tiwari. (2018). Localized Multiple Kernel Support Vector Data Description. 1514–1521. 3 indexed citations
12.
Gautam, Chandan, Aruna Tiwari, & Alexandros Iosifidis. (2018). Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. 2 indexed citations
13.
Gautam, Chandan, et al.. (2017). On the construction of extreme learning machine for online and offline one-class classification—An expanded toolbox. Neurocomputing. 261. 126–143. 33 indexed citations
14.
Gautam, Chandan, et al.. (2016). Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. 2001–2007. 3 indexed citations
15.
Gautam, Chandan, et al.. (2015). Keystroke user recognition through extreme learning machine and evolving cluster method. 1–5. 3 indexed citations
16.
Gautam, Chandan & Vadlamani Ravi. (2015). Data imputation via evolutionary computation, clustering and a neural network. Neurocomputing. 156. 134–142. 55 indexed citations
17.
Ravi, Kumar, Vadlamani Ravi, & Chandan Gautam. (2015). Online and semi-online sentiment classification. 24. 938–943. 9 indexed citations
18.
Gautam, Chandan & Vadlamani Ravi. (2015). Counter propagation auto-associative neural network based data imputation. Information Sciences. 325. 288–299. 17 indexed citations
19.
Gautam, Chandan & Vadlamani Ravi. (2014). Evolving clustering based data imputation. 1763–1769. 12 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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