G. Swapna

2.0k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

G. Swapna is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, G. Swapna has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 7 papers in Cognitive Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in G. Swapna's work include EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). G. Swapna is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). G. Swapna collaborates with scholars based in India, Singapore and Malaysia. G. Swapna's co-authors include U. Rajendra Acharya, R. Vinayakumar, Roshan Joy Martis, S. Vinitha Sree, Jasjit S. Suri, Soman K.P., Soman KP, Jasjit S. Suri, Oliver Faust and Nahrizul Adib Kadri and has published in prestigious journals such as Knowledge-Based Systems, Computer Methods and Programs in Biomedicine and Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine.

In The Last Decade

G. Swapna

16 papers receiving 1.4k citations

Hit Papers

Automated EEG analysis of epilepsy: A review 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Swapna India 13 696 453 370 339 234 16 1.5k
Vidya K. Sudarshan Singapore 25 1.1k 1.6× 1.2k 2.7× 321 0.9× 255 0.8× 137 0.6× 49 2.5k
Νικόλαος Γιαννακέας Greece 22 680 1.0× 197 0.4× 300 0.8× 127 0.4× 54 0.2× 117 1.6k
S. Vinitha Sree Singapore 10 593 0.9× 301 0.7× 348 0.9× 318 0.9× 33 0.1× 10 1.3k
Joel E.W. Koh Singapore 29 1.2k 1.7× 909 2.0× 399 1.1× 315 0.9× 120 0.5× 61 2.9k
Kuang Chua Chua Singapore 17 549 0.8× 462 1.0× 197 0.5× 216 0.6× 87 0.4× 31 1.6k
Sukanta Sabut India 22 507 0.7× 546 1.2× 232 0.6× 60 0.2× 95 0.4× 71 1.6k
Oh Shu Lih Singapore 12 1.0k 1.5× 1.3k 2.8× 282 0.8× 123 0.4× 163 0.7× 14 2.1k
C.M. Lim Singapore 18 563 0.8× 425 0.9× 208 0.6× 278 0.8× 114 0.5× 55 1.7k
Emina Aličković Sweden 13 865 1.2× 270 0.6× 290 0.8× 343 1.0× 98 0.4× 38 1.4k
Awni Hannun Israel 9 634 0.9× 1.2k 2.7× 595 1.6× 237 0.7× 137 0.6× 16 2.2k

Countries citing papers authored by G. Swapna

Since Specialization
Citations

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

Fields of papers citing papers by G. Swapna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Swapna

This figure shows the co-authorship network connecting the top 25 collaborators of G. Swapna. A scholar is included among the top collaborators of G. Swapna 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 G. Swapna. G. Swapna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Singh, Manmohan, et al.. (2023). A Drug-Target Interaction Prediction Based on Supervised Probabilistic Classification. Journal of Computer Science. 19(10). 1203–1211. 6 indexed citations
2.
Swapna, G., R. Vinayakumar, & Soman K.P.. (2018). Diabetes detection using deep learning algorithms. ICT Express. 4(4). 243–246. 197 indexed citations
3.
Swapna, G., K. P. Soman, & R. Vinayakumar. (2018). Automated detection of cardiac arrhythmia using deep learning techniques. Procedia Computer Science. 132. 1192–1201. 57 indexed citations
4.
Swapna, G., Soman KP, & R. Vinayakumar. (2018). Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals. Procedia Computer Science. 132. 1253–1262. 185 indexed citations
5.
Acharya, U. Rajendra, Filippo Molinari, S. Vinitha Sree, et al.. (2014). Ovarian Tissue Characterization in Ultrasound. Technology in Cancer Research & Treatment. 14(3). 251–261. 22 indexed citations
6.
Acharya, U. Rajendra, Oliver Faust, G. Swapna, et al.. (2013). Linear and nonlinear analysis of normal and CAD-affected heart rate signals. Computer Methods and Programs in Biomedicine. 113(1). 55–68. 148 indexed citations
7.
Acharya, U. Rajendra, G. Swapna, S. Vinitha Sree, et al.. (2013). A Review on Ultrasound-Based Thyroid Cancer Tissue Characterization and Automated Classification. Technology in Cancer Research & Treatment. 13(4). 289–301. 80 indexed citations
8.
Swapna, G., et al.. (2013). Automated detection of diabetes using higher order spectral features extracted from heart rate signals. Intelligent Data Analysis. 17(2). 309–326. 27 indexed citations
9.
Acharya, U. Rajendra, S. Vinitha Sree, G. Swapna, et al.. (2013). Effect of complex wavelet transform filter on thyroid tumor classification in three-dimensional ultrasound. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 227(3). 284–292. 34 indexed citations
10.
Pareek, Gyan, U. Rajendra Acharya, S. Vinitha Sree, et al.. (2013). Prostate Tissue Characterization/Classification in 144 Patient Population Using Wavelet and Higher Order Spectra Features from Transrectal Ultrasound Images. Technology in Cancer Research & Treatment. 12(6). 545–557. 36 indexed citations
11.
Acharya, U. Rajendra, S. Vinitha Sree, G. Swapna, Roshan Joy Martis, & Jasjit S. Suri. (2013). Automated EEG analysis of epilepsy: A review. Knowledge-Based Systems. 45. 147–165. 593 indexed citations breakdown →
12.
Yanti, Ratna, et al.. (2012). Automated diagnosis of epileptic electroencephalogram using independent component analysis and discrete wavelet transform for different electroencephalogram durations. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 227(3). 234–244. 23 indexed citations
13.
Swapna, G., et al.. (2012). ECG SIGNAL GENERATION AND HEART RATE VARIABILITY SIGNAL EXTRACTION: SIGNAL PROCESSING, FEATURES DETECTION, AND THEIR CORRELATION WITH CARDIAC DISEASES. Journal of Mechanics in Medicine and Biology. 12(4). 1240012–1240012. 9 indexed citations
14.
Faust, Oliver, et al.. (2012). COMPREHENSIVE ANALYSIS OF NORMAL AND DIABETIC HEART RATE SIGNALS: A REVIEW. Journal of Mechanics in Medicine and Biology. 12(5). 1240033–1240033. 15 indexed citations
15.
Acharya, U. Rajendra, et al.. (2011). RECURRENCE QUANTIFICATION ANALYSIS OF BODY RESPONSE TO FUNCTIONAL ELECTRICAL STIMULATION ON HEMIPLEGIC SUBJECTS. Journal of Mechanics in Medicine and Biology. 12(3). 1250038–1250038. 2 indexed citations
16.
Acharya, U. Rajendra, et al.. (2011). Classification of Normal, Neuropathic, and Myopathic Electromyograph Signals Using Nonlinear Dynamics Method. Journal of Medical Imaging and Health Informatics. 1(4). 375–380. 17 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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