Nandhini Subramanian

890 total citations
22 papers, 502 citations indexed

About

Nandhini Subramanian is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Nandhini Subramanian has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cognitive Neuroscience. Recurrent topics in Nandhini Subramanian's work include Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (4 papers) and ECG Monitoring and Analysis (3 papers). Nandhini Subramanian is often cited by papers focused on Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (4 papers) and ECG Monitoring and Analysis (3 papers). Nandhini Subramanian collaborates with scholars based in Qatar, Belgium and United Kingdom. Nandhini Subramanian's co-authors include Somaya Al-Máadeed, Omar Elharrouss, Ahmed Bouridane, Kavitha Gopal, Jayakanth Kunhoth, Noor Almaadeed, Kamal Bijlani, Sruthy Anand, Mohamed Zied Chaari and Aiman Erbad and has published in prestigious journals such as European Heart Journal, IEEE Access and Computers in Biology and Medicine.

In The Last Decade

Nandhini Subramanian

18 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nandhini Subramanian Qatar 9 251 140 132 38 34 22 502
Ruban Nersisson India 9 70 0.3× 77 0.6× 104 0.8× 26 0.7× 47 1.4× 38 306
Otilia Kocsis Greece 13 80 0.3× 42 0.3× 151 1.1× 36 0.9× 46 1.4× 39 476
Jagadish Nayak United Arab Emirates 12 407 1.6× 535 3.8× 66 0.5× 86 2.3× 16 0.5× 32 829
Sajid Gul Khawaja Pakistan 12 95 0.4× 150 1.1× 65 0.5× 60 1.6× 74 2.2× 50 496
Deevyankar Agarwal Spain 6 81 0.3× 185 1.3× 182 1.4× 8 0.2× 38 1.1× 10 413
Clara Mosquera-Lopez United States 16 107 0.4× 59 0.4× 181 1.4× 40 1.1× 32 0.9× 33 634
S. N. Kumar India 10 133 0.5× 46 0.3× 71 0.5× 47 1.2× 14 0.4× 32 386
Himadri Mukherjee India 12 134 0.5× 202 1.4× 315 2.4× 8 0.2× 76 2.2× 49 643
Mohammad Reza Mohebbian Canada 9 39 0.2× 115 0.8× 37 0.3× 59 1.6× 29 0.9× 18 324

Countries citing papers authored by Nandhini Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Nandhini Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandhini Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Nandhini Subramanian. A scholar is included among the top collaborators of Nandhini Subramanian 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 Nandhini Subramanian. Nandhini Subramanian 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.
Kunhoth, Jayakanth, Nandhini Subramanian, Somaya Al-Máadeed, & Ahmed Bouridane. (2023). Video steganography: recent advances and challenges. Multimedia Tools and Applications. 82(27). 41943–41985. 26 indexed citations
2.
Subramanian, Nandhini, et al.. (2022). A review of deep learning-based detection methods for COVID-19. Computers in Biology and Medicine. 143. 105233–105233. 108 indexed citations
3.
Sadasivuni, Kishor Kumar, Mithra Geetha, Somaya Al-Máadeed, et al.. (2022). A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements. Qatar University QSpace (Qatar University). 1–7. 1 indexed citations
4.
Subramanian, Nandhini, et al.. (2022). WSNet – Convolutional Neural Networkbased Word Spotting for Arabic and English Handwritten Documents. TEM Journal. 264–271. 3 indexed citations
5.
Subramanian, Nandhini & Somaya Al-Máadeed. (2021). A secure cloud system for maintaining COVID-19 patient's data using image steganography. Journal of emergency medicine, trauma & acute care. 2021(2).
6.
Elharrouss, Omar, Nandhini Subramanian, & Somaya Al-Máadeed. (2021). An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images. SN Computer Science. 3(1). 13–13. 38 indexed citations
7.
Subramanian, Nandhini, et al.. (2021). End-to-End Image Steganography Using Deep Convolutional Autoencoders. IEEE Access. 9. 135585–135593. 36 indexed citations
8.
Grégoire, Jean‐Marie, et al.. (2020). Forecasting episodes of atrial fibrillation using a new machine learning algorithm. Archives of Cardiovascular Diseases Supplements. 12(1). 103–103. 2 indexed citations
9.
Subramanian, Nandhini, et al.. (2020). Smart Medicine Planner for Visually Impaired People. Qatar University QSpace (Qatar University). 361–366. 14 indexed citations
10.
Subramanian, Nandhini, et al.. (2020). Smart Health Monitoring for Seizure Detection using Mobile Edge Computing. 1903–1908. 6 indexed citations
11.
Subramanian, Nandhini, Omar Elharrouss, & Somaya Al-Máadeed. (2020). Secure eHealth: A Secure eHealth System to Detect COVID using Image Steganography. Qatar University QSpace (Qatar University). 327–327. 1 indexed citations
12.
Elharrouss, Omar, Nandhini Subramanian, Noor Almaadeed, & Somaya Al-Máadeed. (2020). COVID-19 Lung Infection Segmentation. Qatar University QSpace (Qatar University). 317–317. 15 indexed citations
13.
Subramanian, Nandhini, et al.. (2019). Knowledge, attitude, and practice among dental practitioners about cone-beam computed tomography and its applications in dentistry – A cross-sectional study. Drug Invention Today. 1650–1653. 1 indexed citations
14.
Subramanian, Nandhini, et al.. (2019). P6568Forecasting atrial fibrillation using machine learning techniques. European Heart Journal. 40(Supplement_1). 1 indexed citations
15.
Al-Máadeed, Somaya, et al.. (2018). Data Collection and Image Processing System for Ancient Arabic Manuscripts. Qatar University QSpace (Qatar University). 1. 124–128. 1 indexed citations
16.
Subramanian, Nandhini, Sruthy Anand, & Kamal Bijlani. (2014). Enhancing E-learning Education with Live Interactive Feedback System. 1–7. 9 indexed citations
17.
Subramanian, Nandhini, et al.. (2002). Prioritized protocols for multi-bus local area networks. 268–273. 1 indexed citations
18.
Subramanian, Nandhini, et al.. (2002). Dynamic priority protocols for multi-bus local area networks. 1372–1376.
19.
Gopal, Kavitha, et al.. (1974). Effect of yogasanas and pranayamas on blood pressure, pulse rate and some respiratory functions.. PubMed. 17(3). 273–6. 60 indexed citations
20.
Subramanian, Nandhini, et al.. (1974). Primary pulmonary hypertension. A clinicopathological study of 11 cases.. PubMed. 26 Suppl(0). suppl:171–8. 1 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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