J. Dheeba

743 total citations
25 papers, 496 citations indexed

About

J. Dheeba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Dheeba has authored 25 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Dheeba's work include AI in cancer detection (8 papers), Retinal Imaging and Analysis (4 papers) and Neural Networks and Applications (3 papers). J. Dheeba is often cited by papers focused on AI in cancer detection (8 papers), Retinal Imaging and Analysis (4 papers) and Neural Networks and Applications (3 papers). J. Dheeba collaborates with scholars based in India, Mexico and Germany. J. Dheeba's co-authors include S. Tamil Selvi, Nikita Singh, T. Jaya, C. Sathiya Kumar, Bharath Ramesh and R. Raja Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomedical Informatics and Journal of Medical Systems.

In The Last Decade

J. Dheeba

22 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Dheeba India 9 315 230 185 70 60 25 496
Rekha Singh India 14 170 0.5× 182 0.8× 116 0.6× 47 0.7× 47 0.8× 20 418
Enas M. F. El Houby Egypt 11 347 1.1× 270 1.2× 111 0.6× 33 0.5× 73 1.2× 17 509
Liangliang Liu China 8 160 0.5× 117 0.5× 175 0.9× 63 0.9× 70 1.2× 21 481
Said Jai Andaloussi Morocco 15 200 0.6× 172 0.7× 200 1.1× 19 0.3× 35 0.6× 50 667
Hossam El-Din Moustafa Egypt 12 220 0.7× 159 0.7× 110 0.6× 43 0.6× 223 3.7× 56 536
Talha Meraj Pakistan 13 219 0.7× 240 1.0× 122 0.7× 16 0.2× 34 0.6× 24 576
Md. Omaer Faruq Goni Bangladesh 13 182 0.6× 312 1.4× 173 0.9× 15 0.2× 70 1.2× 19 589
Debendra Muduli India 7 250 0.8× 171 0.7× 106 0.6× 18 0.3× 109 1.8× 44 396
Nabiha Azizi Algeria 11 235 0.7× 91 0.4× 103 0.6× 25 0.4× 19 0.3× 47 356

Countries citing papers authored by J. Dheeba

Since Specialization
Citations

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

Fields of papers citing papers by J. Dheeba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Dheeba

This figure shows the co-authorship network connecting the top 25 collaborators of J. Dheeba. A scholar is included among the top collaborators of J. Dheeba 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 J. Dheeba. J. Dheeba 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
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Dheeba, J., et al.. (2024). A heart disease prognosis pipeline for the edge using federated learning. SHILAP Revista de lepidopterología. 7. 100490–100490. 9 indexed citations
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Dheeba, J., et al.. (2023). Improving Performance of Deep Learning Models Using Input Propagation. International Journal of Computing and Digital Systems. 13(1). 1165–1175. 2 indexed citations
5.
Dheeba, J., et al.. (2023). Survey on Methodological Model of IoT in Digital Forensic. 1–6. 2 indexed citations
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Dheeba, J., et al.. (2022). Computer aided diagnostic support system for skin cancer using ELM classifier. International Journal of Systems Assurance Engineering and Management. 15(1). 449–461. 4 indexed citations
8.
Dheeba, J., et al.. (2022). Digital Decision Making In Dentistry: Analysis And Prediction of Periodontitis Using Machine Learning Approach. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 4 indexed citations
9.
Dheeba, J., et al.. (2020). Border Detection in Skin Lesion Images Using an Improved Clustering Algorithm. International Journal of e-Collaboration. 16(4). 15–29. 4 indexed citations
10.
Dheeba, J., et al.. (2019). Resource Allocation in Cloud Computing for Energy Efficiency. International Journal of Engineering and Advanced Technology. 8(6). 1170–1174. 3 indexed citations
11.
Dheeba, J., T. Jaya, & Nikita Singh. (2017). Breast cancer risk assessment and diagnosis model using fuzzy support vector machine based expert system. Journal of Experimental & Theoretical Artificial Intelligence. 29(5). 1011–1021. 6 indexed citations
12.
Jaya, T., J. Dheeba, & Nikita Singh. (2015). Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System. Journal of Digital Imaging. 28(6). 761–768. 56 indexed citations
13.
Dheeba, J., et al.. (2015). Enhanced DMP scheduling for wireless sensor networks. 2. 202–205.
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Dheeba, J., et al.. (2015). Prediction Models in Machine Learning by Classification and Regression. 2(5). 7–12. 1 indexed citations
15.
Dheeba, J., et al.. (2015). Automatic Detection of Exudates in Color Fundus Retinopathy Images. Indian Journal of Science and Technology. 8(26). 11 indexed citations
16.
Dheeba, J., Nikita Singh, & S. Tamil Selvi. (2014). Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach. Journal of Biomedical Informatics. 49. 45–52. 267 indexed citations
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Dheeba, J. & S. Tamil Selvi. (2011). An Improved Decision Support System for Detection of Lesions in Mammograms Using Differential Evolution Optimized Wavelet Neural Network. Journal of Medical Systems. 36(5). 3223–3232. 21 indexed citations
19.
Dheeba, J. & S. Tamil Selvi. (2011). A Swarm Optimized Neural Network System for Classification of Microcalcification in Mammograms. Journal of Medical Systems. 36(5). 3051–3061. 37 indexed citations
20.
Dheeba, J. & S. Tamil Selvi. (2010). Screening mammogram images for abnormalities using radial basis Function Neural Network. 2. 554–559. 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.

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