Preetham Kumar

632 total citations
40 papers, 405 citations indexed

About

Preetham Kumar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Preetham Kumar has authored 40 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Ophthalmology. Recurrent topics in Preetham Kumar's work include Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (13 papers) and Data Mining Algorithms and Applications (10 papers). Preetham Kumar is often cited by papers focused on Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (13 papers) and Data Mining Algorithms and Applications (10 papers). Preetham Kumar collaborates with scholars based in India, United States and Australia. Preetham Kumar's co-authors include Vasundhara Acharya, Sulatha V. Bhandary, Radhika M. Pai, Sameena Pathan, M. Kalaiselvi Geetha, U. Rajendra Acharya, P. C. Siddalingaswamy, Tanweer Ali, M. M. Manohara Pai and V. S. Ananthanarayana and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers in Biology and Medicine.

In The Last Decade

Preetham Kumar

36 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preetham Kumar India 11 218 201 118 96 44 40 405
Mohammad Tariqul Islam United States 9 149 0.7× 192 1.0× 50 0.4× 84 0.9× 36 0.8× 28 421
Jyostna Devi Bodapati India 13 314 1.4× 267 1.3× 138 1.2× 199 2.1× 6 0.1× 37 621
N. Veeranjaneyulu India 12 278 1.3× 240 1.2× 119 1.0× 184 1.9× 5 0.1× 34 578
P. C. Siddalingaswamy India 12 216 1.0× 165 0.8× 114 1.0× 223 2.3× 35 0.8× 34 538
Somsak Choomchuay Thailand 11 121 0.6× 134 0.7× 33 0.3× 132 1.4× 25 0.6× 60 349
Min Beom Lee South Korea 8 153 0.7× 175 0.9× 37 0.3× 146 1.5× 19 0.4× 11 376
Priyadarshini Adyasha Pattanaik India 8 87 0.4× 151 0.8× 15 0.1× 91 0.9× 22 0.5× 20 282
Václav Uher Czechia 9 167 0.8× 199 1.0× 121 1.0× 64 0.7× 12 0.3× 22 369
Jahanzaib Latif China 8 185 0.8× 93 0.5× 79 0.7× 106 1.1× 7 0.2× 9 338

Countries citing papers authored by Preetham Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Preetham Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preetham Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Preetham Kumar. A scholar is included among the top collaborators of Preetham Kumar 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 Preetham Kumar. Preetham Kumar 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.
Kumar, Preetham, et al.. (2025). Self-Supervised Representation Learning for Data-Efficient DRIL Classification in OCT Images. Diagnostics. 15(24). 3221–3221.
2.
3.
Kumar, Preetham, et al.. (2024). FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images. SoftwareX. 26. 101646–101646. 2 indexed citations
4.
Lewis, John H., et al.. (2024). AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning Techniques. IEEE Access. 12. 163764–163786. 3 indexed citations
5.
Kumar, Preetham, et al.. (2023). Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review. Journal of Applied Biomedicine. 43(1). 157–188. 15 indexed citations
6.
Kumar, Preetham, et al.. (2023). Comparative Analysis of Pre-trained ResNet and DenseNet Models for the Detection of Diabetic Macular Edema. Journal of Physics Conference Series. 2571(1). 12006–12006. 4 indexed citations
7.
Kumar, Preetham, et al.. (2023). Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids. Diagnostics. 13(15). 2550–2550. 4 indexed citations
8.
Kumar, Preetham, et al.. (2023). An automated classification framework for glaucoma detection in fundus images using ensemble of dynamic selection methods. Progress in Artificial Intelligence. 12(3). 287–301. 12 indexed citations
9.
Kumar, Preetham, et al.. (2023). Generating OCT B-Scan DME images using optimized Generative Adversarial Networks (GANs). Heliyon. 9(8). e18773–e18773. 8 indexed citations
10.
Kumar, Preetham, et al.. (2022). Partial Weighted Count Tree for Discovery of Rare and Frequent Itemsets. Engineered Science. 1 indexed citations
11.
Kumar, Preetham, et al.. (2022). Binary Count Tree: An Efficient and Compact Structure for Mining Rare and Frequent Itemsets. Engineered Science. 2 indexed citations
12.
Pathan, Sameena, P. C. Siddalingaswamy, Preetham Kumar, et al.. (2021). Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images. Computers in Biology and Medicine. 137. 104835–104835. 29 indexed citations
13.
Kumar, Preetham, et al.. (2021). Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture. Journal of Applied Biomedicine. 41(2). 819–832. 47 indexed citations
14.
Acharya, Vasundhara & Preetham Kumar. (2019). Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms. Medical & Biological Engineering & Computing. 57(8). 1783–1811. 52 indexed citations
15.
Kumar, Preetham & R. Jagadeesh Kannan. (2018). An Enhanced and Efficient Approach for Improving the Performance of HPC Environment Using Map-Reduce With MARIANE. Materials Today Proceedings. 5(1). 1980–1988. 2 indexed citations
16.
Acharya, Vasundhara & Preetham Kumar. (2017). Identification and Red Blood Cell Automated Counting from Blood Smear Images using Computer Aided System. Indian Journal of Science and Technology. 10(16). 1–8. 4 indexed citations
17.
Acharya, Vasundhara & Preetham Kumar. (2017). Identification and red blood cell automated counting from blood smear images using computer-aided system. Medical & Biological Engineering & Computing. 56(3). 483–489. 49 indexed citations
18.
Kumar, Preetham, et al.. (2014). Influence of Different Tillage and Herbicide Management on Weed Dynamics and Wheat Productivity under Rice-Wheat Cropping System. Journal of AgriSearch. 1(2). 3 indexed citations
19.
Kumar, Preetham, et al.. (2014). Weighted Summarization of Student Feedback using Sentiment Analysis. International Journal of Computer Applications. 97(3). 1–8.
20.
Martin, James, et al.. (2002). Acute myeloid leukemia presenting as splenic rupture.. PubMed. 50. 1435–7. 5 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