Padmavathi Kora

2.1k citations
56 papers · 1.1k · 1 hit paper · h-index 17

Impact in

Papers in

Padmavathi Kora

49 papers receiving 1.0k citations

Padmavathi Kora's Hit Papers

Transfer learning techniques for medical image analysis: A review 2021 · 231 citations
2310+1+3Years since publication50100150200

Peers

Padmavathi Kora
Comparison fields: 5 of 124
  • Health Informatics 20
  • Neurology 117
  • Computer Vision and Pattern Recognition 308
  • Health Information Management 59
  • Cardiology and Cardiovascular Medicine 237
Replace Galip Aydın with:
Galip Aydın Türkiye
Türker Tuncer Türkiye
Shivajirao M. Jadhav India
Ahmad Ayatollahi Iran
Siqi Liu China
Maheshkumar H. Kolekar India
Radim Bürget Czechia
Shuihua Wang United Kingdom
Qinghua Zhou China
Farhan Riaz Pakistan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Padmavathi Kora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Padmavathi Kora Line = papers co-authored together Padmavathi Kora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfer learning techniques for medical image analysis: A review
Hit paper breakdown →
2021231
2 2019119
3 2017104
4 201596
5 201558
6 201758
7 202151
8 201546
9 202131
10 201931
11 201927
12 201926
13 202124
14 201622
15 201619
16 202116
17 201616
18 201714
19
Investigation and monitoring for leaves disease detection and evaluation using image processing
201212
20 202012

About Padmavathi Kora

Padmavathi Kora is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (14 papers), Advanced Steganography and Watermarking Techniques (8 papers), EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (6 papers), Advanced Neural Network Applications (5 papers), Digital Media Forensic Detection (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Vehicle License Plate Recognition (4 papers). The work is most often cited by research in Health Informatics (20 citations), Neurology (117 citations), Computer Vision and Pattern Recognition (308 citations), Health Information Management (59 citations) and Cardiology and Cardiovascular Medicine (237 citations). Padmavathi Kora has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include K. Swaraja, K. Sri Rama Krishna, K. Meenakshi, K. Meenakshi, Chui Ping Ooi, U. Raghavendra, Anjan Gudigar, Oliver Faust, U. Rajendra Acharya and Paweł Pławiak. Their work appears in journals such as Multimedia Tools and Applications, SpringerPlus, Biomedical Signal Processing and Control, Egyptian Informatics Journal and CAAI Transactions on Intelligence Technology.

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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