P. Kavitha

552 total citations
30 papers, 64 citations indexed

About

P. Kavitha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, P. Kavitha has authored 30 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in P. Kavitha's work include Brain Tumor Detection and Classification (3 papers), Image Retrieval and Classification Techniques (3 papers) and Online Learning and Analytics (2 papers). P. Kavitha is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), Image Retrieval and Classification Techniques (3 papers) and Online Learning and Analytics (2 papers). P. Kavitha collaborates with scholars based in India, United States and Saudi Arabia. P. Kavitha's co-authors include Saurav Mallik, Amal Al‐Rasheed, Mohammed S. Alqahtani, Mark Roberts, Sandeep Kumar Mathivanan, Malliga Subramanian, Prabhu Jayagopal, Ben Othman Soufiene, S. Prabakaran and Rahul Pradhan and has published in prestigious journals such as BMC Bioinformatics, Resonance and Indonesian Journal of Electrical Engineering and Computer Science.

In The Last Decade

P. Kavitha

23 papers receiving 54 citations

Peers

P. Kavitha

CVPR

CNC

EEE

ECP

Wangding Zeng China

Ruoyu Zhang China

Karan Malik India

Hongkun Yu United States

Alfredo Petrosino Italy

Suhaila Abuowaida Jordan

Julia Kreutzer Germany

Matheus R. F. Mendonça Brazil

Marius Mosbach Germany

Wangding Zeng China

P. Kavitha

21 ×0.8

22 ×1.2

CVPR

5 ×0.4

CNC

3 ×0.4

EEE

13 ×1.6

ECP

Citations per year, relative to P. Kavitha P. Kavitha (= 1×) peers Wangding Zeng

Countries citing papers authored by P. Kavitha

Since Specialization

Citations

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

Fields of papers citing papers by P. Kavitha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Kavitha, P., et al.. (2024). Deep Generative Decision Neural Network Approach for Effective Early Prediction of Meninges. 804–811. 2 indexed citations

Kavitha, P., et al.. (2024). Transforming Language Learning: Harnessing Neural Networks for Enhanced Adaptive Assessment in English Teaching. 1–6.

Kavitha, P., et al.. (2024). Diabetes Prediction using Machine Learning Algorithms. International Journal of Advanced Research in Science Communication and Technology. 63–69. 1 indexed citations

Kavitha, P., et al.. (2024). An Examination of Machine Learning Techniques for Automating and Optimizing VLSI Design. 1–6. 1 indexed citations

Kavitha, P., Prabhu Jayagopal, Sandeep Kumar Mathivanan, et al.. (2023). Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. BMC Bioinformatics. 24(1). 458–458. 5 indexed citations

Kavitha, P., et al.. (2023). Hybrid NOMA for Latency Minimization in Wireless Federated Learning for 6G Networks. Radioengineering. 32(4). 594–602.

Kavitha, P., et al.. (2021). An Implementation Of Statistical Feature Algorithms For The Detection Of Brain Tumor. 57–62. 1 indexed citations

Kavitha, P., et al.. (2019). A Novel Method of Object Orientation Variation in C++ and Java. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 708–710. 4 indexed citations

Kavitha, P., et al.. (2019). Machine Learning Paradigm towards Content Based Image Retrieval on High Resolution Satellite Images. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 999–1005. 1 indexed citations

10.

Vimal, S., et al.. (2019). Versions of IP with Domain Name Server. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 441–443. 1 indexed citations

11.

Kavitha, P., et al.. (2019). Brain Tumor Analysis in Basf Framework. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 485–488.

12.

Kavitha, P., et al.. (2019). A Novel Method on Developing Superblocks and the Transistor using Apodryal. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 982–985. 2 indexed citations

13.

Kavitha, P., et al.. (2019). Deep Learning Provisions in the Matlab: Focus on CNN Facility. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 990–994. 3 indexed citations

14.

Vimal, S., et al.. (2019). A Novel Method of Univac using Fuzzy Logic. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 435–437. 4 indexed citations

15.

Kavitha, P., et al.. (2019). A Novel for Construct Knowledge Structure using Marker Watershed Algorithm. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 1609–1612.

16.

Kavitha, P., et al.. (2018). Mapping Artificial Intelligence and Education. 165–168. 10 indexed citations

17.

Kavitha, P., et al.. (2017). Content Based Image Retrieval using Feature Extraction in JPEG Domain and Genetic Algorithm. Indonesian Journal of Electrical Engineering and Computer Science. 7(1). 226–226. 2 indexed citations

18.

Kavitha, P., et al.. (2014). An Efficient Enhanced K-Means Approach with Improved Initial Cluster Centers. 9 indexed citations

19.

Kavitha, P.. (2013). EMBEDDED DESIGN of TEMPERATURECONTROLLER USING PIC 16F876A forINDUSTRIES and LABORTORIES. International Journal of Innovative Research in Computer and Communication Engineering. 1(10). 2414–2420. 1 indexed citations

20.

Kavitha, P.. (2013). Authentic Learning Activities withPedagogical Stylistics Enhancing InE-Learning Websites. International Journal of Innovative Research in Computer and Communication Engineering. 1(6). 1211–1215.

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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