K. Kousalya

476 total citations
41 papers, 320 citations indexed

About

K. Kousalya is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. Kousalya has authored 41 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. Kousalya's work include Cloud Computing and Resource Management (7 papers), Distributed and Parallel Computing Systems (6 papers) and AI in cancer detection (5 papers). K. Kousalya is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Distributed and Parallel Computing Systems (6 papers) and AI in cancer detection (5 papers). K. Kousalya collaborates with scholars based in India, United States and Ethiopia. K. Kousalya's co-authors include Sudhakar Sengan, Sharnil Pandya, Abolfazl Mehbodniya, Julian Webber, Dilip Kumar Sharma, J. Santhosh, L. Bhagyalakshmi, Sanjay Kumar Suman, Venkatesa Prabhu Sundramurthy and Himanshu Shekhar and has published in prestigious journals such as Neurocomputing, Neural Computing and Applications and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

K. Kousalya

34 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Kousalya India 8 106 93 87 49 27 41 320
Krishnamoorthi Makkithaya India 10 69 0.7× 101 1.1× 76 0.9× 54 1.1× 11 0.4× 35 335
J. Arokia Renjit India 9 104 1.0× 89 1.0× 44 0.5× 55 1.1× 10 0.4× 30 264
Ehsan Ullah Munir Pakistan 12 154 1.5× 116 1.2× 56 0.6× 79 1.6× 8 0.3× 41 407
Stephen Jeswinde Nuagah Ghana 7 81 0.8× 76 0.8× 48 0.6× 32 0.7× 6 0.2× 16 284
E. Kannan India 9 72 0.7× 67 0.7× 49 0.6× 26 0.5× 8 0.3× 55 281
S. Ravikumar India 8 76 0.7× 79 0.8× 63 0.7× 56 1.1× 4 0.1× 25 312
Jiangang Ma Australia 11 168 1.6× 77 0.8× 76 0.9× 55 1.1× 4 0.1× 29 468
Ketan Gupta United States 12 99 0.9× 79 0.8× 71 0.8× 37 0.8× 6 0.2× 44 417
Nasmin Jiwani United States 14 100 0.9× 89 1.0× 74 0.9× 42 0.9× 5 0.2× 37 446
Jayashree Piri India 9 171 1.6× 22 0.2× 24 0.3× 51 1.0× 31 1.1× 21 321

Countries citing papers authored by K. Kousalya

Since Specialization
Citations

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

Fields of papers citing papers by K. Kousalya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Kousalya

This figure shows the co-authorship network connecting the top 25 collaborators of K. Kousalya. A scholar is included among the top collaborators of K. Kousalya 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 K. Kousalya. K. Kousalya 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.
Kousalya, K., et al.. (2024). FCM-DCS: Fuzzy C means distorted contour-based segmentation model for breast cancer detection. Neurocomputing. 599. 127937–127937. 1 indexed citations
2.
Thangaraj, P., et al.. (2023). Classification of rice leaf diseases using deep learning. AIP conference proceedings. 2899. 60007–60007. 1 indexed citations
3.
Kousalya, K., et al.. (2023). Comparative Analysis of Various Models for Potato Leaf Disease Classification using Deep Learning. 1186–1193. 4 indexed citations
4.
Kousalya, K., et al.. (2023). Group Emotion Detection using Convolutional Neural Network. 161. 1–6. 1 indexed citations
5.
Kousalya, K., et al.. (2023). Air Quality Prediction and Classification using Machine Learning. 187–191. 2 indexed citations
6.
Kousalya, K., et al.. (2023). Optimal Trained Deep Learning Model for Breast Cancer Segmentation and Classification. Information Technology And Control. 52(4). 915–934. 17 indexed citations
7.
Kousalya, K., et al.. (2022). Prediction of Best Optimizer for Facial Expression Detection using Convolutional Neural Network. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–7. 4 indexed citations
8.
Kousalya, K., et al.. (2022). Text sentiment analysis on E‐shopping product reviews using chaotic coyote optimized deep belief network approach. Concurrency and Computation Practice and Experience. 34(19). 2 indexed citations
9.
Akilandeswari, J., et al.. (2022). Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors. International Journal on Semantic Web and Information Systems. 18(1). 1–27. 2 indexed citations
10.
Kousalya, K., et al.. (2021). Twitter based sentiment analysis to predict public emotions using machine learning algorithms. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1759–1763. 4 indexed citations
11.
Kousalya, K., et al.. (2021). Terrain identification and land price estimation using deep learning. AIP conference proceedings. 2387. 140030–140030. 5 indexed citations
12.
Mehbodniya, Abolfazl, Julian Webber, Dilip Kumar Sharma, et al.. (2021). Fetal health classification from cardiotocographic data using machine learning. Expert Systems. 39(6). 68 indexed citations
13.
Kousalya, K., et al.. (2021). Investigation of applying various filters for traffic sign board detection using convolution neural network. AIP conference proceedings. 2387. 140014–140014. 4 indexed citations
14.
Kousalya, K.. (2021). Collaborative Research Publications Trends on Disaster Management: A Scientometric Analysis. Insecta mundi.
15.
Kousalya, K., et al.. (2019). Amelioration of task scheduling in cloud computing using crow search algorithm. Neural Computing and Applications. 32(10). 5901–5907. 63 indexed citations
16.
Kousalya, K., et al.. (2018). Effective processing of unstructured data using python in Hadoop map reduce. International Journal of Engineering & Technology. 7(2.21). 417–417. 1 indexed citations
17.
Kousalya, K., et al.. (2017). APPLICATIONS OF SWARM BASED INTELLIGENCE ALGORITHM IN PHARMACEUTICAL INDUSTRY: A REVIEW. International Research Journal of Pharmacy. 8(11). 24–27. 1 indexed citations
18.
Kousalya, K., et al.. (2016). SCALABLE AND SECURE SHARING OF PERSONAL HEALTH RECORDS IN CLOUD COMPUTING. DergiPark (Istanbul University).
19.
Kousalya, K., et al.. (2016). A nearest centroid classifier based clustering algorithm for solving vehicle routing problem. 414–419. 7 indexed citations
20.
Kousalya, K., et al.. (2013). Algorithms to improve scheduling techniques in IaaS cloud. 246–250. 4 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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2026