Vivekananda Bhat K

1.1k total citations
27 papers, 745 citations indexed

About

Vivekananda Bhat K is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Vivekananda Bhat K has authored 27 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Networks and Communications. Recurrent topics in Vivekananda Bhat K's work include COVID-19 diagnosis using AI (9 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (6 papers). Vivekananda Bhat K is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (6 papers). Vivekananda Bhat K collaborates with scholars based in India, United Kingdom and South Korea. Vivekananda Bhat K's co-authors include Abhijit Das, Indranil Sen‐Gupta, Ashok Kumar Das, Mohammad Wazid, Athanasios V. Vasilakos, Krishnaraj Chadaga, Shashikiran Umakanth, Niranjana Sampathila, Srikanth Prabhu and Muttukrishnan Rajarajan and has published in prestigious journals such as IEEE Access, Journal of Network and Computer Applications and Artificial Intelligence Review.

In The Last Decade

Vivekananda Bhat K

26 papers receiving 705 citations

Peers

Vivekananda Bhat K
Faizan Ullah Pakistan
Samer Atawneh Saudi Arabia
Arun Chauhan United States
Mohammed Alkhathami Saudi Arabia
Ahmed Iqbal Pakistan
Chengcheng Li United States
Faizan Ullah Pakistan
Vivekananda Bhat K
Citations per year, relative to Vivekananda Bhat K Vivekananda Bhat K (= 1×) peers Faizan Ullah

Countries citing papers authored by Vivekananda Bhat K

Since Specialization
Citations

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

Fields of papers citing papers by Vivekananda Bhat K

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivekananda Bhat K

This figure shows the co-authorship network connecting the top 25 collaborators of Vivekananda Bhat K. A scholar is included among the top collaborators of Vivekananda Bhat K 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 Vivekananda Bhat K. Vivekananda Bhat K 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, Anil, et al.. (2025). A comprehensive review of machine learning applications for internet of nano things: challenges and future directions. Artificial Intelligence Review. 58(7). 1 indexed citations
2.
K, Vivekananda Bhat, et al.. (2025). Real-Time Facial Emotion Recognition Using Deep Learning Approach. 1–6. 1 indexed citations
3.
Thakur, Garima, et al.. (2024). Blockchain-Assisted Cross-Platform Authentication Protocol With Conditional Traceability for Metaverse Environment in Web 3.0. IEEE Open Journal of the Communications Society. 5. 7244–7261. 2 indexed citations
4.
Chadaga, Krishnaraj, Srikanth Prabhu, Vivekananda Bhat K, et al.. (2023). Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers. Annals of Medicine. 55(1). 2233541–2233541. 19 indexed citations
5.
Chadaga, Krishnaraj, Srikanth Prabhu, Vivekananda Bhat K, et al.. (2023). A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence. Bioengineering. 10(4). 439–439. 25 indexed citations
6.
Chadaga, Krishnaraj, et al.. (2023). COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador. SLAS TECHNOLOGY. 28(6). 393–410. 5 indexed citations
7.
Gupta, S. K., et al.. (2023). QuCardio: Application of Quantum Machine Learning for Detection of Cardiovascular Diseases. IEEE Access. 11. 136122–136135. 15 indexed citations
8.
K, Vivekananda Bhat, et al.. (2023). A New Scalable and Secure Access Control Scheme Using Blockchain Technology for IoT. IEEE Transactions on Network and Service Management. 20(3). 2957–2974. 11 indexed citations
9.
Chadaga, Krishnaraj, Chinmay Chakraborty, Srikanth Prabhu, et al.. (2022). Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning. Interdisciplinary Sciences Computational Life Sciences. 14(2). 452–470. 46 indexed citations
10.
Chadaga, Krishnaraj, et al.. (2022). Medical diagnosis of COVID-19 using blood tests and machine learning. Journal of Physics Conference Series. 2161(1). 12017–12017. 17 indexed citations
11.
K, Vivekananda Bhat, et al.. (2022). SUACC-IoT: secure unified authentication and access control system based on capability for IoT. Cluster Computing. 26(4). 2409–2428. 10 indexed citations
12.
Chadaga, Krishnaraj, et al.. (2021). Battling COVID-19 using machine learning: A review. Cogent Engineering. 8(1). 24 indexed citations
13.
Chadaga, Krishnaraj, et al.. (2021). COVID-19 Mortality Prediction among Patients using Epidemiological parameters: An Ensemble Machine Learning Approach. Engineered Science. 17 indexed citations
16.
Wazid, Mohammad, et al.. (2019). RAD‐EI: A routing attack detection scheme for edge‐based Internet of Things environment. International Journal of Communication Systems. 32(15). 28 indexed citations
17.
K, Vivekananda Bhat, Ashok Kumar Das, & Jong‐Hyouk Lee. (2019). A Mean Quantization Watermarking Scheme for Audio Signals Using Singular-Value Decomposition. IEEE Access. 7. 157480–157488. 6 indexed citations
18.
K, Vivekananda Bhat, Indranil Sen‐Gupta, & Abhijit Das. (2010). An adaptive audio watermarking based on the singular value decomposition in the wavelet domain. Digital Signal Processing. 20(6). 1547–1558. 158 indexed citations
19.
K, Vivekananda Bhat, Indranil Sen‐Gupta, & Abhijit Das. (2008). Audio Watermarking Based on Mean Quantization in Cepstrum Domain. 22. 73–77. 9 indexed citations
20.
K, Vivekananda Bhat, Indranil Sengupta, & Abhijit Das. (2008). Audio Watermarking Based on BCH Coding Using CT and DWT. 49–50. 4 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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