C. Kavitha

865 total citations · 1 hit paper
44 papers, 478 citations indexed

About

C. Kavitha is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, C. Kavitha has authored 44 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in C. Kavitha's work include Brain Tumor Detection and Classification (6 papers), Mobile Ad Hoc Networks (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). C. Kavitha is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), Mobile Ad Hoc Networks (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). C. Kavitha collaborates with scholars based in India, Taiwan and Malaysia. C. Kavitha's co-authors include S. Srividhya, Vinodhini Mani, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, Wen‐Cheng Lai, Balasubramanian Prabhu Kavin, Sakthivel Subramaniam, P. Devaraj, Hong‐Seng Gan and S. Jeeva and has published in prestigious journals such as Sensors, Cancers and Nonlinear Dynamics.

In The Last Decade

C. Kavitha

40 papers receiving 438 citations

Hit Papers

Early-Stage Alzheimer's Disease Prediction Using Machine ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Kavitha India 10 164 118 92 91 90 44 478
Rita Chhikara India 10 106 0.6× 54 0.5× 68 0.7× 139 1.5× 59 0.7× 48 379
Yousry AbdulAzeem Egypt 10 146 0.9× 113 1.0× 45 0.5× 121 1.3× 32 0.4× 23 381
Maali Alabdulhafith Saudi Arabia 10 117 0.7× 84 0.7× 35 0.4× 81 0.9× 43 0.5× 37 325
M. Akila India 9 128 0.8× 164 1.4× 24 0.3× 97 1.1× 54 0.6× 31 541
Sapiah Sakri Saudi Arabia 7 205 1.3× 58 0.5× 30 0.3× 59 0.6× 75 0.8× 16 374
Vinodhini Mani India 7 116 0.7× 88 0.7× 69 0.8× 20 0.2× 73 0.8× 12 343
Erlin Yao China 9 71 0.4× 78 0.7× 137 1.5× 36 0.4× 27 0.3× 19 310
Mohemmed Sha Saudi Arabia 9 137 0.8× 56 0.5× 29 0.3× 58 0.6× 67 0.7× 45 319
Hamid Reza Hassanzadeh United States 6 256 1.6× 162 1.4× 18 0.2× 57 0.6× 76 0.8× 9 657
Mohammad Zavid Parvez Bangladesh 14 369 2.3× 163 1.4× 24 0.3× 145 1.6× 51 0.6× 46 982

Countries citing papers authored by C. Kavitha

Since Specialization
Citations

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

Fields of papers citing papers by C. Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of C. Kavitha. A scholar is included among the top collaborators of C. Kavitha 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. Kavitha. C. Kavitha 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.
Kavitha, C., et al.. (2023). Filter-Based Ensemble Feature Selection and Deep Learning Model for Intrusion Detection in Cloud Computing. Electronics. 12(3). 556–556. 20 indexed citations
2.
Kavitha, C., et al.. (2023). Traffic Sign Recognition and Voice-Activated Driving Assistance Using Raspberry Pi. 3. 1–7. 1 indexed citations
3.
Kavin, Balasubramanian Prabhu, Wen‐Cheng Lai, Hong‐Seng Gan, C. Kavitha, & S. Jeeva. (2023). APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification. Cancers. 15(2). 330–330. 38 indexed citations
4.
Kavitha, C., et al.. (2023). An Electro-Oculogram (EOG) Sensor’s Ability to Detect Driver Hypovigilance Using Machine Learning. Sensors. 23(6). 2944–2944. 9 indexed citations
5.
Kavitha, C., et al.. (2023). Detection of Liver Tumour Using Deep Learning Based Segmentation with Coot Extreme Learning Model. Biomedicines. 11(3). 800–800. 16 indexed citations
6.
Kavin, Balasubramanian Prabhu, et al.. (2023). Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction. Biomedicines. 11(3). 679–679. 3 indexed citations
7.
Kavitha, C., et al.. (2023). Predicting Earthquake Measurements using Deep Learning. 521. 1–7. 2 indexed citations
8.
Lai, Wen‐Cheng, et al.. (2023). A Trust-Based Secure Neuro Fuzzy Clustering Technique for Mobile Ad Hoc Networks. Electronics. 12(2). 274–274. 7 indexed citations
9.
Kavin, Balasubramanian Prabhu, et al.. (2023). En–DeNet Based Segmentation and Gradational Modular Network Classification for Liver Cancer Diagnosis. Biomedicines. 11(5). 1309–1309. 16 indexed citations
10.
Jeeva, S., Wen‐Cheng Lai, Balasubramanian Prabhu Kavin, C. Kavitha, & Hong‐Seng Gan. (2023). Cryptographic Encryption and Optimization for Internet of Things Based Medical Image Security. Electronics. 12(7). 1636–1636. 6 indexed citations
11.
Mani, Vinodhini, et al.. (2022). A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository. Frontiers in Public Health. 9. 831404–831404. 11 indexed citations
12.
Kavitha, C., et al.. (2022). Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks. Electronics. 12(1). 123–123. 3 indexed citations
13.
Kavitha, C., S. Srividhya, Wen‐Cheng Lai, & Vinodhini Mani. (2022). IMapC: Inner MAPping Combiner to Enhance the Performance of MapReduce in Hadoop. Electronics. 11(10). 1599–1599. 6 indexed citations
14.
Kavitha, C., et al.. (2021). Automatic Vending Machine using RFID. 9(10). 2 indexed citations
15.
Kavitha, C. & Sakthivel Subramaniam. (2018). An effective mechanism for medical images authentication using quick response code. Cluster Computing. 22(S2). 4375–4382. 26 indexed citations
16.
Devaraj, P. & C. Kavitha. (2016). An image encryption scheme using dynamic S-boxes. Nonlinear Dynamics. 86(2). 927–940. 24 indexed citations
17.
Kavitha, C. & M. Ganesh Madhan. (2015). Study of squeeze film damping characteristics under different gas mediums in a capacitive MEMS accelerometer. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 38(1). 241–252. 7 indexed citations
18.
Kavitha, C., et al.. (2014). Secured data integrity routing for Wireless Sensor Networks. 1–6. 7 indexed citations
19.
Kavitha, C., et al.. (2012). A survey on secured routing protocols for wireless sensor network. 1–8. 8 indexed citations
20.
Kavitha, C., et al.. (2010). A Pull Based Energy Efficient Data Aggregation Scheme for Wireless Sensor Networks. International Journal of Computer Applications. 1(28). 57–64. 1 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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