G. Kavitha

639 total citations
73 papers, 354 citations indexed

About

G. Kavitha is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, G. Kavitha has authored 73 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 29 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Neurology. Recurrent topics in G. Kavitha's work include Medical Image Segmentation Techniques (17 papers), Brain Tumor Detection and Classification (17 papers) and Digital Imaging for Blood Diseases (11 papers). G. Kavitha is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Brain Tumor Detection and Classification (17 papers) and Digital Imaging for Blood Diseases (11 papers). G. Kavitha collaborates with scholars based in India, United States and United Arab Emirates. G. Kavitha's co-authors include Jac Fredo Agastinose Ronickom, Ramakrishnan Swaminathan, P. Chandrasekar, C. M. Sujatha, V. Natarajan, S. Ramakrishnan, V. Vaidehi, N. Suthanthira Vanitha, J. Karthikeyan and Sudha Ramakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neural Computing and Applications.

In The Last Decade

G. Kavitha

63 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kavitha India 11 133 124 62 58 54 73 354
J. Anitha India 10 147 1.1× 66 0.5× 96 1.5× 101 1.7× 71 1.3× 26 408
K. Meenakshi India 7 79 0.6× 114 0.9× 97 1.6× 49 0.8× 40 0.7× 27 366
Roberto Rosas-Romero Mexico 10 78 0.6× 96 0.8× 84 1.4× 35 0.6× 65 1.2× 33 466
Loc Tran United States 10 161 1.2× 139 1.1× 147 2.4× 129 2.2× 33 0.6× 37 498
S. Suganyadevi India 9 204 1.5× 176 1.4× 173 2.8× 90 1.6× 28 0.5× 25 585
Saravanan Alagarsamy India 11 121 0.9× 86 0.7× 82 1.3× 99 1.7× 38 0.7× 36 294
V. Seethalakshmi India 8 118 0.9× 142 1.1× 165 2.7× 61 1.1× 15 0.3× 22 472
Sawon Pratiher India 11 76 0.6× 65 0.5× 83 1.3× 21 0.4× 99 1.8× 45 355
R Lavanya India 9 68 0.5× 62 0.5× 84 1.4× 17 0.3× 82 1.5× 62 292

Countries citing papers authored by G. Kavitha

Since Specialization
Citations

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

Fields of papers citing papers by G. Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kavitha. A scholar is included among the top collaborators of G. 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 G. Kavitha. G. 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.
Lakkimsetty, Nageswara Rao, et al.. (2025). Modelling and optimization of well hole cleaning using artificial intelligence techniques. Discover Applied Sciences. 7(2).
2.
Kavitha, G., et al.. (2025). LungNet-ViT: Efficient lung disease classification using a multistage vision transformer model from chest radiographs. Journal of X-Ray Science and Technology. 33(4). 742–759.
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Yamini, B., et al.. (2023). Predictive Modelling for Lung Cancer Detection using Machine Learning Techniques. 1220–1226. 8 indexed citations
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Kavitha, G., Ashley E. Thompson, Jessica Royer, et al.. (2023). Neurocognitive basis of model-based decision making and its metacontrol in childhood. Developmental Cognitive Neuroscience. 62. 101269–101269. 3 indexed citations
8.
Kavitha, G., et al.. (2021). Automatic Detection of Acute Lymphoblastic Leukemia Using UNET Based Segmentation and Statistical Analysis of Fused Deep Features. SHILAP Revista de lepidopterología. 35(15). 1952–1969. 17 indexed citations
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Kavitha, G., et al.. (2020). An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder. International Journal of Computer Assisted Radiology and Surgery. 15(4). 601–615. 2 indexed citations
11.
Kavitha, G., et al.. (2019). Assessment of severity in neuropsychiatric disorders based on radiomic features with prior shape level set and metaheuristic algorithms. International Journal of Imaging Systems and Technology. 29(3). 210–221. 3 indexed citations
12.
Kavitha, G., et al.. (2019). Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images. PubMed. 2019. 824–827. 10 indexed citations
13.
Kavitha, G., et al.. (2018). Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain. Magnetic Resonance Materials in Physics Biology and Medicine. 31(4). 483–499. 22 indexed citations
14.
Kavitha, G., et al.. (2017). Diagnosis of Schizophrenia Disorder in MR Brain Images Using Multi-objective BPSO Based Feature Selection with Fuzzy SVM. Journal of Medical and Biological Engineering. 38(6). 917–932. 22 indexed citations
15.
Kavitha, G., et al.. (2015). Statistical Analysis of Web Server Logs UsingApache Hive in Hadoop Framework. International Journal of Innovative Research in Computer and Communication Engineering. 3(5). 4510–4515.
16.
Kavitha, G., et al.. (2015). Analysis of the liver in CT images using an improved region growing technique. 13. 1561–1566. 2 indexed citations
17.
Raja, N. Sri Madhava, G. Kavitha, & Sudha Ramakrishnan. (2014). Analysis of Vasculature Detection in Human Retinal Images UsingBacterial Foraging Optimization Based Multi Thresholding. 3(1). 1–8. 4 indexed citations
18.
Ronickom, Jac Fredo Agastinose, G. Kavitha, & Santhosh Kumar Ramakrishnan. (2014). Analysis of sub-cortical regions in cognitive processing using fuzzy c-means clustering and geometrical measure in autistic MR images. 1–2. 1 indexed citations
19.
Kavitha, G., et al.. (2009). Video Object Extraction Based on a Comparative Study of Efficient Edge Detection Techniques. The International Arab Journal of Information Technology. 6. 107–115. 11 indexed citations
20.
Kavitha, G., et al.. (2009). An Approach to Identify Optic Disc in Human Retinal Images Using Ant Colony Optimization Method. Journal of Medical Systems. 34(5). 809–813. 14 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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