E. Sivasankar

782 total citations
41 papers, 416 citations indexed

About

E. Sivasankar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, E. Sivasankar has authored 41 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in E. Sivasankar's work include Customer churn and segmentation (6 papers), Artificial Intelligence in Healthcare (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). E. Sivasankar is often cited by papers focused on Customer churn and segmentation (6 papers), Artificial Intelligence in Healthcare (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). E. Sivasankar collaborates with scholars based in India. E. Sivasankar's co-authors include R.S. Rajesh, S. Mahalakshmi, Sam Radhakrishnan, C. Mala, Priya Balasubramanian, M. Srıdevı and Ilsun You and has published in prestigious journals such as Neural Computing and Applications, Multimedia Tools and Applications and Soft Computing.

In The Last Decade

E. Sivasankar

40 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Sivasankar India 12 201 104 102 50 41 41 416
Brij Masand United States 11 365 1.8× 105 1.0× 330 3.2× 31 0.6× 25 0.6× 22 595
Minsung Hong South Korea 10 116 0.6× 15 0.1× 207 2.0× 18 0.4× 70 1.7× 32 368
Sahin Cem Geyik United States 14 173 0.9× 42 0.4× 125 1.2× 9 0.2× 24 0.6× 30 436
Rouhollah Rahmani Iran 10 280 1.4× 49 0.5× 93 0.9× 22 0.4× 40 1.0× 16 542
Siva Gurumurthy United States 7 227 1.1× 31 0.3× 213 2.1× 12 0.2× 56 1.4× 9 629
Vu Minh Hieu Phan Australia 9 243 1.2× 27 0.3× 38 0.4× 13 0.3× 10 0.2× 23 393
Huayu Li China 11 156 0.8× 23 0.2× 288 2.8× 20 0.4× 41 1.0× 43 477
Pritheega Magalingam Malaysia 8 193 1.0× 13 0.1× 141 1.4× 5 0.1× 58 1.4× 36 431
Muhammed Yousoof Ismail Oman 8 60 0.3× 46 0.4× 10 0.1× 34 0.7× 72 1.8× 10 272
Jun Ye China 9 123 0.6× 18 0.2× 106 1.0× 28 0.6× 13 0.3× 59 263

Countries citing papers authored by E. Sivasankar

Since Specialization
Citations

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

Fields of papers citing papers by E. Sivasankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Sivasankar

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

All Works

20 of 20 papers shown
1.
Sivasankar, E., et al.. (2024). Vision based Intelligent Garbage Collection and Sorting System. 1539–1545.
2.
Sivasankar, E., et al.. (2024). Diabetic retinopathy detection using a well-calibrated uncertainty aware convolutional neural network. Multimedia Tools and Applications. 84(19). 20779–20801. 1 indexed citations
4.
Sivasankar, E., et al.. (2023). Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management. Multimedia Tools and Applications. 83(14). 41405–41439. 5 indexed citations
5.
Sivasankar, E., et al.. (2023). BBC-FND: An ensemble of deep learning framework for textual fake news detection. Computers & Electrical Engineering. 110. 108866–108866. 10 indexed citations
6.
Sivasankar, E., et al.. (2022). Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks. Multimedia Tools and Applications. 81(13). 18483–18501. 12 indexed citations
7.
Sivasankar, E., et al.. (2022). Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model. Neural Computing and Applications. 35(2). 1607–1627. 36 indexed citations
8.
Sivasankar, E., et al.. (2020). An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA). Soft Computing. 25(5). 3697–3711. 5 indexed citations
9.
Sivasankar, E., et al.. (2019). Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method. Soft Computing. 24(6). 3975–3988. 23 indexed citations
11.
Sivasankar, E., et al.. (2018). Aspect based summarisation in the big data environment. International Journal of Advanced Intelligence Paradigms. 10(1). 1–1. 1 indexed citations
12.
Sivasankar, E., et al.. (2018). Risk Analysis in Electronic Payments and Settlement System Using Dimensionality Reduction Techniques. 454. 14–19. 2 indexed citations
13.
Sivasankar, E., et al.. (2018). Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network. Neural Computing and Applications. 31(11). 7181–7200. 29 indexed citations
15.
Sivasankar, E., et al.. (2017). An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing. Cluster Computing. 22(S5). 10757–10768. 46 indexed citations
16.
Sivasankar, E., et al.. (2014). A performance comparison of scheduling distributed mining in cloud. 375–379. 1 indexed citations
17.
Srıdevı, M., C. Mala, E. Sivasankar, & Ilsun You. (2014). Optimized Multilevel Threshold Selection Using Evolutionary Computing. 1. 149–156. 1 indexed citations
18.
Sivasankar, E. & R.S. Rajesh. (2012). Design and development of a clinical decision support system for diagnosing appendicitis. 316–321. 4 indexed citations
19.
Sivasankar, E., et al.. (2011). Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier. International Journal of Medical Engineering and Informatics. 3(4). 337–337. 1 indexed citations
20.
Sivasankar, E., et al.. (2009). Diagnosing Appendicitis Using Backpropagation Neural Network and Bayesian Based Classifier. International Journal of Computer Theory and Engineering. 358–363. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026