KC Santosh

6.5k total citations · 1 hit paper
184 papers, 3.2k citations indexed

About

KC Santosh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, KC Santosh has authored 184 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 43 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in KC Santosh's work include COVID-19 diagnosis using AI (33 papers), Handwritten Text Recognition Techniques (30 papers) and Image Retrieval and Classification Techniques (22 papers). KC Santosh is often cited by papers focused on COVID-19 diagnosis using AI (33 papers), Handwritten Text Recognition Techniques (30 papers) and Image Retrieval and Classification Techniques (22 papers). KC Santosh collaborates with scholars based in United States, India and France. KC Santosh's co-authors include Sameer Antani, Kaushik Roy, Sk Md Obaidullah, Umapada Pal, Sourodip Ghosh, Dipayan Das, Himadri Mukherjee, Nibaran Das, George R. Thoma and Laurent Wendling and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

KC Santosh

165 papers receiving 3.1k citations

Hit Papers

Advances and Challenges in Meta-Learning: A Technical Review 2024 2026 2025 2024 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances and Challenges in Meta-Learning: A Technical Review
    2024 103 citations KC Santosh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
KC Santosh United States 29 1.3k 1.1k 1.0k 361 280 184 3.2k
Dilbag Singh India 38 1.5k 1.1× 1.6k 1.4× 1.6k 1.5× 600 1.7× 203 0.7× 136 4.8k
Zafer Cömert Türkiye 31 1.4k 1.0× 1.5k 1.4× 858 0.8× 111 0.3× 459 1.6× 78 3.5k
Mohamed Loey Egypt 14 1.1k 0.8× 793 0.7× 953 0.9× 134 0.4× 238 0.8× 24 2.2k
Ulaş Bağcı United States 31 2.1k 1.5× 934 0.8× 1.2k 1.1× 158 0.4× 809 2.9× 217 4.2k
Burhan Ergen Türkiye 25 1.1k 0.8× 1.2k 1.0× 878 0.8× 132 0.4× 222 0.8× 90 2.6k
George R. Thoma United States 32 2.4k 1.8× 2.4k 2.2× 3.0k 2.9× 523 1.4× 559 2.0× 237 5.8k
Muhammed Talo Türkiye 15 2.2k 1.7× 1.7k 1.5× 683 0.7× 72 0.2× 472 1.7× 30 3.9k
Nour Eldeen M. Khalifa Egypt 16 1.0k 0.8× 699 0.6× 817 0.8× 97 0.3× 203 0.7× 33 2.0k
Hongmin Cai China 27 906 0.7× 912 0.8× 788 0.8× 162 0.4× 149 0.5× 200 3.0k
Michael A. Riegler Norway 30 1.0k 0.8× 1.4k 1.2× 1.4k 1.3× 154 0.4× 302 1.1× 233 4.4k

Countries citing papers authored by KC Santosh

Since Specialization
Citations

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

Fields of papers citing papers by KC Santosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KC Santosh

This figure shows the co-authorship network connecting the top 25 collaborators of KC Santosh. A scholar is included among the top collaborators of KC Santosh 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 KC Santosh. KC Santosh 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.
Chiu, J. Christine, Jing Zhang, Jamie L. Scholl, et al.. (2025). The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease. Biomedicines. 13(2). 427–427. 5 indexed citations
2.
Nuamah, Joseph, et al.. (2025). EEG-Based Classification of Parkinson’s Disease With Freezing of Gait Using Midfrontal Beta Oscillations. Journal of Integrative Neuroscience. 24(6). 39023–39023.
3.
Alvi, P. A., et al.. (2025). Improved Statistical Approach to Analyze Multivariate Women’s Fertility Dataset for Better Prediction. Procedia Computer Science. 260. 91–100. 1 indexed citations
4.
Santosh, KC, et al.. (2025). An expert voting system for brain tumor Classification using MRI images. Procedia Computer Science. 260. 316–324.
5.
Alvi, P. A., et al.. (2024). Leveraging Sampling Schemes on Skewed Class Distribution to Enhance Male Fertility Detection with Ensemble AI Learners. International Journal of Pattern Recognition and Artificial Intelligence. 38(2). 4 indexed citations
6.
Santosh, KC, et al.. (2024). Soft Computing and Its Engineering Applications. Communications in computer and information science. 1 indexed citations
7.
Santosh, KC, et al.. (2024). Transformer-based Reinforcement Learning Model for Optimized Quantitative Trading. 1454–1455. 1 indexed citations
8.
Makkar, Aaisha & KC Santosh. (2023). SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays. International Journal of Machine Learning and Cybernetics. 14(8). 2659–2670. 20 indexed citations
9.
Dhar, Ankita, et al.. (2023). Hybrid approach for text categorization: A case study with Bangla news article. Journal of Information Science. 49(3). 762–777.
10.
Santosh, KC, et al.. (2023). Analyzing Overlaid Foreign Objects in Chest X-rays—Clinical Significance and Artificial Intelligence Tools. Healthcare. 11(3). 308–308. 4 indexed citations
11.
Santosh, KC, et al.. (2023). Soft Computing and Its Engineering Applications. Communications in computer and information science. 1 indexed citations
12.
Santosh, KC, et al.. (2023). Active Learning to Minimize the Possible Risk of Future Epidemics. SpringerBriefs in applied sciences and technology. 1 indexed citations
13.
Kamal, Md. Sarwar, et al.. (2022). Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 55 indexed citations
14.
Santosh, KC, et al.. (2021). Interval timing and midfrontal delta oscillations are impaired in Parkinson’s disease patients with freezing of gait. Journal of Neurology. 269(5). 2599–2609. 9 indexed citations
15.
Mukherjee, Himadri, Subhankar Ghosh, Ankita Dhar, et al.. (2020). Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays. Applied Intelligence. 51(5). 2777–2789. 138 indexed citations
16.
Santosh, KC, et al.. (2019). Automated Fractured Bone Segmentation and Labeling from CT Images. Journal of Medical Systems. 43(3). 60–60. 23 indexed citations
17.
Ghosh, Swarnendu, et al.. (2019). GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection. 68–73. 5 indexed citations
18.
Karargyris, Alexandros, Jenifer Siegelman, Stefan Jaeger, et al.. (2015). Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. International Journal of Computer Assisted Radiology and Surgery. 11(1). 99–106. 78 indexed citations
19.
Santosh, KC, Laurent Wendling, & Bart Lamiroy. (2009). New Ways to Handle Spatial Relations through Angle plus MBR Theory on Raster Documents. 291–302.
20.
Santosh, KC & Cholwich Nattee. (2007). Template-based Nepali Natural Handwritten Alphanumeric Character Recognition. Thammasat International Journal of Science and Technology. 12(1). 20–30. 6 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