C. Deisy

1.0k total citations · 2 hit papers
33 papers, 652 citations indexed

About

C. Deisy is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, C. Deisy has authored 33 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in C. Deisy's work include Data Mining Algorithms and Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Imbalanced Data Classification Techniques (5 papers). C. Deisy is often cited by papers focused on Data Mining Algorithms and Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Imbalanced Data Classification Techniques (5 papers). C. Deisy collaborates with scholars based in India, Malaysia and Vietnam. C. Deisy's co-authors include T. Saranya, M.K.A. Ahamed Khan, Tran Duc Chung, S. Sridevi, Kalaiarasi Sonai Muthu Anbananthen, S. Sridevi, S. Baskar, K. Lavanya, N. Ramaraj and S. Parasuraman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Engineering Applications of Artificial Intelligence.

In The Last Decade

C. Deisy

29 papers receiving 600 citations

Hit Papers

Performance Analysis of Machine Learning Algorithms in In... 2020 2026 2022 2024 2020 2023 50 100 150 200 250
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.

  1. Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review
    2020 251 citations T. Saranya, S. Sridevi et al. Procedia Computer Science profile →
  2. A comparative study of deep learning and Internet of Things for precision agriculture
    2023 114 citations T. Saranya, C. Deisy et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Deisy India 11 262 229 173 170 107 33 652
Kim-Hung Le Vietnam 11 185 0.7× 267 1.2× 168 1.0× 162 1.0× 48 0.4× 43 542
Pranav M. Pawar United Arab Emirates 13 148 0.6× 250 1.1× 106 0.6× 113 0.7× 52 0.5× 64 470
C. D. Jaidhar India 16 220 0.8× 370 1.6× 190 1.1× 216 1.3× 295 2.8× 52 808
Abdulaziz Alhumam Saudi Arabia 13 167 0.6× 199 0.9× 76 0.4× 66 0.4× 68 0.6× 31 561
T. Saranya India 5 192 0.7× 222 1.0× 78 0.5× 126 0.7× 41 0.4× 16 399
Mohammed S. Alshehri Saudi Arabia 14 235 0.9× 257 1.1× 49 0.3× 139 0.8× 75 0.7× 62 594
Rohit Raja India 10 169 0.6× 218 1.0× 53 0.3× 104 0.6× 59 0.6× 47 531
Ahmed A. Nashat Egypt 7 156 0.6× 221 1.0× 132 0.8× 120 0.7× 24 0.2× 10 448

Countries citing papers authored by C. Deisy

Since Specialization
Citations

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

Fields of papers citing papers by C. Deisy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Deisy

This figure shows the co-authorship network connecting the top 25 collaborators of C. Deisy. A scholar is included among the top collaborators of C. Deisy 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 C. Deisy. C. Deisy 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.
Saranya, T., et al.. (2024). Efficient agricultural pest classification using vision transformer with hybrid pooled multihead attention. Computers in Biology and Medicine. 177. 108584–108584. 9 indexed citations
2.
Saranya, T., C. Deisy, S. Sridevi, & Kalaiarasi Sonai Muthu Anbananthen. (2023). A comparative study of deep learning and Internet of Things for precision agriculture. Engineering Applications of Artificial Intelligence. 122. 106034–106034. 114 indexed citations breakdown →
3.
Deisy, C., et al.. (2023). A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules. International Journal of Information Retrieval Research. 13(1). 1–21. 1 indexed citations
4.
Deisy, C., et al.. (2023). IoT Defect Prediction Using AI Framework: A Review. 1. 376–383.
5.
Saranya, T., C. Deisy, & S. Sridevi. (2023). Classical-Quantum Computing Model with MobileNet for Precise Pest Classification. 1–5.
6.
Deisy, C., et al.. (2020). Prediction of risk factors for pre-diabetes using a frequent pattern-based outlier detection. International Journal of Biomedical Engineering and Technology. 34(2). 152–152. 1 indexed citations
7.
Saranya, T., S. Sridevi, C. Deisy, Tran Duc Chung, & M.K.A. Ahamed Khan. (2020). Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review. Procedia Computer Science. 171. 1251–1260. 251 indexed citations breakdown →
8.
9.
Deisy, C., et al.. (2019). Fuzzy logic based associative classifier for slow learners prediction. Journal of Intelligent & Fuzzy Systems. 36(3). 2691–2704. 8 indexed citations
10.
Deisy, C., et al.. (2018). Prediction of Prediabetes using Fuzzy Logic based Association Classification. 782–787. 11 indexed citations
11.
Deisy, C., et al.. (2018). Multi-biometric authentication system using finger vein and iris in cloud computing. Cluster Computing. 22(S1). 103–117. 17 indexed citations
12.
Parasuraman, S., et al.. (2017). Effects of Aging on Human Gait Stability. 1–5. 3 indexed citations
13.
Deisy, C., et al.. (2017). An improved incremental algorithm for mining weighted class-association rules. International Journal of Business Intelligence and Data Mining. 13(1/2/3). 291–291. 4 indexed citations
14.
Lavanya, K. & C. Deisy. (2017). Twitter sentiment analysis using multi-class SVM. 1–6. 18 indexed citations
15.
Parasuraman, S., et al.. (2017). Vision Guided Soccer Robot. 3. 1–4. 1 indexed citations
16.
Deisy, C., et al.. (2017). Statistical pair pruning towards target class in learning-based anaphora resolution for Tamil. International Journal of Advanced Intelligence Paradigms. 9(5/6). 437–437. 1 indexed citations
17.
Deisy, C., et al.. (2015). A survey of data mining algorithms used in cardiovascular disease diagnosis from multi-lead ECG data. Kuwait Journal of Science. 42(2). 19 indexed citations
18.
Deisy, C., et al.. (2015). Proposing a novel approach for classification and sequencing ofLearning Objects in E-learning systems based on learning style. Journal of Intelligent & Fuzzy Systems. 29(2). 539–552. 10 indexed citations
19.
Deisy, C., et al.. (2012). Extraction of Semantic Biomedical Relations from Medline Abstracts using Machine Learning Approach. 1 indexed citations
20.
Deisy, C., et al.. (2010). A NOVEL TERM WEIGHTING SCHEME MIDF FOR TEXT CATEGORIZATION. SHILAP Revista de lepidopterología. 11 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

Breakdown of academic impact, for papers by Kim-Hung Le Breakdown of academic impact, for papers by Pranav M. Pawar Breakdown of academic impact, for papers by C. D. Jaidhar Breakdown of academic impact, for papers by Abdulaziz Alhumam Breakdown of academic impact, for papers by T. Saranya Breakdown of academic impact, for papers by Mohammed S. Alshehri Breakdown of academic impact, for papers by Rohit Raja Breakdown of academic impact, for papers by Ahmed A. Nashat
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2026