K. Padmanaban

782 total citations
40 papers, 537 citations indexed

About

K. Padmanaban is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. Padmanaban has authored 40 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. Padmanaban's work include Artificial Intelligence in Healthcare (4 papers), AI in cancer detection (4 papers) and Digital Imaging for Blood Diseases (3 papers). K. Padmanaban is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), AI in cancer detection (4 papers) and Digital Imaging for Blood Diseases (3 papers). K. Padmanaban collaborates with scholars based in India, Singapore and United States. K. Padmanaban's co-authors include Ralf Koester, Peter Grewe, C. Beythien, K. Gutensohn, P. Kuehnl, A. Velmurugan, H. Azath, Anshuman Kumar, S. Murugan and E. Rathakrishnan and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Ethnopharmacology and Journal of Structural Engineering.

In The Last Decade

K. Padmanaban

32 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Padmanaban India 10 130 86 84 69 68 40 537
Weiguang Li China 17 33 0.3× 28 0.3× 58 0.7× 126 1.8× 250 3.7× 107 869
Shahram Etemadi Haghighi Iran 12 46 0.4× 17 0.2× 90 1.1× 178 2.6× 116 1.7× 47 483
Mariel Alfaro-Ponce Mexico 11 21 0.2× 17 0.2× 50 0.6× 75 1.1× 118 1.7× 56 430
Wenfeng Li China 21 75 0.6× 4 0.0× 57 0.7× 209 3.0× 64 0.9× 47 979
Chenxing Sheng China 15 70 0.5× 13 0.2× 249 3.0× 364 5.3× 84 1.2× 55 782
Yinghong Zhao China 10 20 0.2× 75 0.9× 28 0.3× 78 1.1× 46 0.7× 22 438
Osman Altay Türkiye 12 44 0.3× 11 0.1× 87 1.0× 145 2.1× 28 0.4× 30 464
Nasrul Humaimi Mahmood Malaysia 12 80 0.6× 68 0.8× 9 0.1× 21 0.3× 241 3.5× 77 659
Masoud Goharimanesh Iran 13 66 0.5× 19 0.2× 32 0.4× 196 2.8× 285 4.2× 48 539
Jianlong Huang China 14 82 0.6× 15 0.2× 74 0.9× 179 2.6× 164 2.4× 54 602

Countries citing papers authored by K. Padmanaban

Since Specialization
Citations

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

Fields of papers citing papers by K. Padmanaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Padmanaban

This figure shows the co-authorship network connecting the top 25 collaborators of K. Padmanaban. A scholar is included among the top collaborators of K. Padmanaban 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 K. Padmanaban. K. Padmanaban 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.
Padmanaban, K., et al.. (2025). Incremental learning for acute lymphoblastic leukemia classification based on hybrid deep learning using blood smear image. Computational Biology and Chemistry. 118. 108456–108456. 1 indexed citations
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Kannan, R. Jagadeesh, et al.. (2024). Network intrusion detection system by applying ensemble model for smart home. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(3). 3485–3485. 26 indexed citations
5.
Mohankumar, N., et al.. (2024). Advancing chronic pain relief cloud-based remote management with machine learning in healthcare. Indonesian Journal of Electrical Engineering and Computer Science. 37(2). 1042–1042. 6 indexed citations
6.
Padmanaban, K., et al.. (2024). An automated cervical cancer diagnosis model using Y-net and ensemble deep learning model. International Journal of Systems Assurance Engineering and Management.
7.
Padmanaban, K., et al.. (2024). A novel analysis on movie recommendation using machine learning approach. 3. 376–376.
8.
Padmanaban, K., et al.. (2023). An In-Depth Analysis of Autism Spectrum Disorder Using Optimized Deep Recurrent Neural Network. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 31(5). 729–748. 1 indexed citations
9.
Velmurugan, A., K. Padmanaban, Anshuman Kumar, H. Azath, & S. Murugan. (2023). Machine learning IoT based framework for analysing heart disease prediction. AIP conference proceedings. 2613. 20038–20038. 37 indexed citations
10.
Padmanaban, K., et al.. (2023). An Exploration of Machine Learning in Movie Recommendation. 1253–1259. 2 indexed citations
11.
Padmanaban, K., et al.. (2023). Hybrid data mining technique based breast cancer prediction. AIP conference proceedings. 2613. 20047–20047. 33 indexed citations
12.
Sankar, S. M. Udhaya, et al.. (2023). Big Data Analytics-based Intelligent Logistic System. 4. 1190–1195. 1 indexed citations
13.
Kumar, M. Senthil, H. Azath, A. Velmurugan, K. Padmanaban, & S. Murugan. (2023). Prediction of Alzheimer's disease using hybrid machine learning technique. AIP conference proceedings. 2613. 20091–20091. 32 indexed citations
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Ramakrishnan, M., K. Padmanaban, & V. Muthupandi. (2013). Studies on fracture toughness of cold wire addition in narrow groove submerged arc welding process. The International Journal of Advanced Manufacturing Technology. 68(1-4). 293–316. 13 indexed citations
17.
Padmanaban, K., et al.. (2005). Anti-diarrhoeal activity of Butea monosperma in experimental animals. Journal of Ethnopharmacology. 98(3). 241–244. 47 indexed citations
18.
Padmanaban, K., et al.. (2004). Chemical Investigations and Anti-inflammatory Activity of Fixed Oil of Butea monosperma Seeds. Natural Product Sciences. 10(2). 55–58. 7 indexed citations
19.
Gutensohn, K., C. Beythien, Peter Grewe, et al.. (2000). In Vitro Analyses of Diamond-like Carbon Coated Stents. Thrombosis Research. 99(6). 577–585. 221 indexed citations
20.
Choo, Y.S., K. Padmanaban, N.E. Shanmugam, & J.Y. Richard Liew. (1995). BEHAVIOUR OF PLATE TRUNNIONS SUBJECTED TO SHEAR LOADS. The Proceedings of the ... International Offshore and Polar Engineering Conference. 4. 29–36. 2 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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