K. Narasimhan

1.5k total citations
65 papers, 1.0k citations indexed

About

K. Narasimhan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, K. Narasimhan has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Artificial Intelligence. Recurrent topics in K. Narasimhan's work include Photovoltaic System Optimization Techniques (11 papers), Digital Imaging for Blood Diseases (10 papers) and AI in cancer detection (10 papers). K. Narasimhan is often cited by papers focused on Photovoltaic System Optimization Techniques (11 papers), Digital Imaging for Blood Diseases (10 papers) and AI in cancer detection (10 papers). K. Narasimhan collaborates with scholars based in India, Colombia and China. K. Narasimhan's co-authors include V. Elamaran, N. Arunkumar, K. Vijayarekha, Enas Abdulhay, V. Venkatraman, N. Periasamy, Rajiv Dubey, Anil Kottantharayil, J. Vasi and Shashwata Chattopadhyay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

K. Narasimhan

63 papers receiving 941 citations

Peers

K. Narasimhan
Chenyang Xu China
Yun Gu China
Xiujuan Zheng China
Yilei Chen China
Jungsuk Kim South Korea
Bing Nan Li China
M. G. Sumithra India
Huijun Ding China
Muhammad Haris Khan Pakistan
L. Leija Mexico
Chenyang Xu China
K. Narasimhan
Citations per year, relative to K. Narasimhan K. Narasimhan (= 1×) peers Chenyang Xu

Countries citing papers authored by K. Narasimhan

Since Specialization
Citations

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

Fields of papers citing papers by K. Narasimhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Narasimhan. A scholar is included among the top collaborators of K. Narasimhan 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. Narasimhan. K. Narasimhan 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.
Narasimhan, K., Ravikumar Chinthaginjala, A. Rajesh, et al.. (2024). A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features. Multimedia Tools and Applications. 83(24). 65441–65467. 12 indexed citations
2.
Narasimhan, K., et al.. (2024). Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations
3.
Priyadharshini, S., K. Ramkumar, V. Subramaniyaswamy, et al.. (2024). A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques. Alexandria Engineering Journal. 107. 568–582. 10 indexed citations
4.
Narasimhan, K., C. V. Ravikumar, A. Rajesh, et al.. (2023). Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. IEEE Access. 11. 120868–120880. 29 indexed citations
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Narasimhan, K., et al.. (2021). Medical imaging technique using curvelet transform and machine learning for the automated diagnosis of breast cancer from thermal image. Pattern Analysis and Applications. 24(3). 981–991. 42 indexed citations
7.
Narasimhan, K., et al.. (2019). Breast Cancer Diagnosis using Curvelet and Regional Features. 1069. 1–5. 4 indexed citations
8.
Chattopadhyay, Shashwata, Chetan Singh Solanki, Narendra Shiradkar, et al.. (2018). Effect of Aluminum Back Plate on PV Module Temperature and Performance. 1 indexed citations
9.
Narasimhan, K., et al.. (2018). Spectral and SNR improvement analysis of normal and abnormal heart sound signals using different windows. Future Generation Computer Systems. 92. 438–443. 8 indexed citations
10.
Dubey, Rajiv, J. Vasi, Shashwata Chattopadhyay, et al.. (2018). On-Site Electroluminescence Study of Field-Aged PV Modules. 98–102. 9 indexed citations
11.
Elamaran, V., et al.. (2017). An adaptive row-column least significant bit inlay approach for image steganography. Biomedical Research-tokyo. 28(22). 10216–10222. 1 indexed citations
12.
Elamaran, V., et al.. (2017). A case study of fault-tolerant biological systems with MRI images. Biomedical Research-tokyo. 28(12). 5247–5251. 3 indexed citations
13.
Jaber, Mustafa Musa, et al.. (2017). Preprocessing and signal processing techniques on genomic data sequences. Biomedical Research-tokyo. 28(22). 10205–10209. 6 indexed citations
14.
Dubey, Rajiv, Shashwata Chattopadhyay, Jim Joseph John, et al.. (2016). Correlation of electrical and visual degradation seen in field survey in India. 1692–1696. 7 indexed citations
15.
Dubey, Rajiv, Shashwata Chattopadhyay, Anil Kottantharayil, et al.. (2015). Measurement of temperature coefficient of photovoltaic modules in field and comparison with laboratory measurements. 1–5. 23 indexed citations
16.
Narasimhan, K., et al.. (2012). Comparison of Satellite Image Enhancement Techniques in Wavelet Domain. Research Journal of Applied Sciences Engineering and Technology. 4(24). 5492–5496. 7 indexed citations
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Narasimhan, K., et al.. (2011). A Comparison of Contrast Enhancement Techniques in Poor Illuminated Gray Level and Color Images. International Journal of Computer Applications. 25(2). 17–25. 11 indexed citations
19.
Vaidehi, V., et al.. (2005). Authentication of Signaling in VoIP Applications. 530–533. 16 indexed citations
20.

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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