Padmavathi Kora

2.5k total citations · 1 hit paper
68 papers, 1.4k citations indexed

About

Padmavathi Kora is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Padmavathi Kora has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Cardiology and Cardiovascular Medicine and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Padmavathi Kora's work include ECG Monitoring and Analysis (19 papers), EEG and Brain-Computer Interfaces (12 papers) and Blind Source Separation Techniques (8 papers). Padmavathi Kora is often cited by papers focused on ECG Monitoring and Analysis (19 papers), EEG and Brain-Computer Interfaces (12 papers) and Blind Source Separation Techniques (8 papers). Padmavathi Kora collaborates with scholars based in India, Nepal and United States. Padmavathi Kora's co-authors include K. Sri Rama Krishna, K. Swaraja, S. Arul Daniel, K. Meenakshi, K. Meenakshi, Chui Ping Ooi, Paweł Pławiak, U. Rajendra Acharya, U. Raghavendra and Anjan Gudigar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainable Cities and Society.

In The Last Decade

Padmavathi Kora

59 papers receiving 1.3k citations

Hit Papers

Transfer learning techniques for medical image analysis: ... 2021 2026 2022 2024 2021 50 100 150 200
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. Transfer learning techniques for medical image analysis: A review
    2021 218 citations Padmavathi Kora, K. Meenakshi 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
Padmavathi Kora India 17 361 311 306 229 184 68 1.4k
Shabana Urooj India 24 289 0.8× 83 0.3× 319 1.0× 100 0.4× 99 0.5× 155 1.7k
Harikumar Rajaguru India 20 815 2.3× 225 0.7× 261 0.9× 550 2.4× 31 0.2× 244 1.8k
Anurag Singh India 21 493 1.4× 163 0.5× 450 1.5× 128 0.6× 519 2.8× 120 2.2k
Tamer Ölmez Türkiye 18 376 1.0× 408 1.3× 279 0.9× 315 1.4× 18 0.1× 64 1.4k
Syed Saad Azhar Ali Malaysia 20 215 0.6× 221 0.7× 289 0.9× 511 2.2× 17 0.1× 119 1.7k
Mirjam Jonkman Australia 23 542 1.5× 303 1.0× 182 0.6× 156 0.7× 13 0.1× 79 1.6k
Wen-June Wang Taiwan 18 95 0.3× 131 0.4× 244 0.8× 121 0.5× 52 0.3× 46 836
Asif Karim Australia 24 910 2.5× 72 0.2× 282 0.9× 41 0.2× 62 0.3× 81 2.1k
Ümit Budak Türkiye 21 602 1.7× 46 0.1× 517 1.7× 94 0.4× 31 0.2× 42 1.6k
Bharat Gupta India 23 186 0.5× 130 0.4× 116 0.4× 226 1.0× 26 0.1× 104 1.4k

Countries citing papers authored by Padmavathi Kora

Since Specialization
Citations

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

Fields of papers citing papers by Padmavathi Kora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmavathi Kora

This figure shows the co-authorship network connecting the top 25 collaborators of Padmavathi Kora. A scholar is included among the top collaborators of Padmavathi Kora 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 Padmavathi Kora. Padmavathi Kora 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.
Kora, Padmavathi, et al.. (2025). Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms. Scientific Reports. 15(1). 38164–38164.
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Shoaib, Mohammed, et al.. (2022). Space Debris Detection Unit for Spacecrafts. 2022 International Conference on Computer Communication and Informatics (ICCCI). 18. 1–2. 2 indexed citations
5.
Kora, Padmavathi, et al.. (2021). EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review. Complementary Therapies in Clinical Practice. 43. 101329–101329. 51 indexed citations
6.
Swaraja, K., et al.. (2021). Brain Tumor Classification of MRI Images Using Deep Convolutional Neural Network. Traitement du signal. 38(4). 1171–1179. 29 indexed citations
7.
Swaraja, K., K. Meenakshi, & Padmavathi Kora. (2021). Hierarchical multilevel framework using RDWT-QR optimized watermarking in telemedicine. Biomedical Signal Processing and Control. 68. 102688–102688. 23 indexed citations
8.
Kora, Padmavathi, et al.. (2021). Quality Improvement of Retinal Optical Coherence Tomography. 2021 2nd International Conference for Emerging Technology (INCET). 1–5. 2 indexed citations
9.
Kora, Padmavathi, et al.. (2019). A Secure Architecture of Design for Testability Structures. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 2816–2820. 1 indexed citations
10.
Meenakshi, K., et al.. (2019). A Hybrid Blind Watermarking With Redundant Discrete Wavelet and Hadamard Transform. International Journal of Innovative Technology and Exploring Engineering. 8(11). 2216–2220. 5 indexed citations
11.
Kora, Padmavathi, et al.. (2019). IoT Based Smart Surveillance System for Healthcare Monitoring using Raspberry PI. International Journal of Innovative Technology and Exploring Engineering. 8(12). 627–629. 1 indexed citations
12.
Kora, Padmavathi, et al.. (2019). Detection of Cardiac arrhythmia using fuzzy logic. Informatics in Medicine Unlocked. 17. 100257–100257. 28 indexed citations
13.
Kora, Padmavathi, et al.. (2019). Comparison of Image processing techniques for detecting human presence in an image. 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). 8. 383–388. 11 indexed citations
14.
Kora, Padmavathi. (2017). ECG based Myocardial Infarction detection using Hybrid Firefly Algorithm. Computer Methods and Programs in Biomedicine. 152. 141–148. 57 indexed citations
15.
Kora, Padmavathi, et al.. (2016). A Proposed Android Based Application to Track and Enhance the Transport System using GPS. 8(4). 153–155.
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Kora, Padmavathi & K. Sri Rama Krishna. (2015). Improved Bat algorithm for the detection of myocardial infarction. SpringerPlus. 4(1). 666–666. 58 indexed citations
18.
Kora, Padmavathi & K. Sri Rama Krishna. (2015). Hybrid Bacterial Foraging and Particle Swarm Optimization for detecting Bundle Branch Block. SpringerPlus. 4(1). 481–481. 46 indexed citations
19.
Kora, Padmavathi, et al.. (2015). Classification of ECG Signal during Atrial Fibrillation Using Autoregressive Modeling. Procedia Computer Science. 46. 53–59. 55 indexed citations
20.
Kora, Padmavathi. (2012). Investigation and monitoring for leaves disease detection and evaluation using image processing. 1(3). 66–70. 12 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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