Dharmendra Gurve

477 total citations
18 papers, 324 citations indexed

About

Dharmendra Gurve is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dharmendra Gurve has authored 18 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dharmendra Gurve's work include EEG and Brain-Computer Interfaces (12 papers), ECG Monitoring and Analysis (7 papers) and Neuroscience and Neural Engineering (6 papers). Dharmendra Gurve is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), ECG Monitoring and Analysis (7 papers) and Neuroscience and Neural Engineering (6 papers). Dharmendra Gurve collaborates with scholars based in Canada, Brazil and India. Dharmendra Gurve's co-authors include Sridhar Krishnan, Denis Delisle-Rodríguez, Teodiano Bastos-Filho, Muhammad Kaleem, Anselmo Frizera, Aziz Guergachi, Barjinder Singh Saini, Indu Saini, Sharmistha Bhadra and Nathaniel Lasry and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Dharmendra Gurve

18 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dharmendra Gurve Canada 10 236 103 87 83 78 18 324
Natasha Padfield United Kingdom 6 412 1.7× 85 0.8× 182 2.1× 70 0.8× 29 0.4× 8 477
Phairot Autthasan Thailand 6 313 1.3× 73 0.7× 83 1.0× 54 0.7× 40 0.5× 13 381
Rattanaphon Chaisaen Thailand 5 272 1.2× 65 0.6× 68 0.8× 63 0.8× 33 0.4× 8 367
Vahid Shalchyan Iran 12 382 1.6× 62 0.6× 227 2.6× 151 1.8× 33 0.4× 42 488
Suguru Kanoga Japan 11 220 0.9× 71 0.7× 58 0.7× 127 1.5× 29 0.4× 40 294
D.F. Lovely Canada 12 159 0.7× 114 1.1× 68 0.8× 258 3.1× 72 0.9× 37 413
Ignas Martišius Lithuania 7 268 1.1× 73 0.7× 83 1.0× 30 0.4× 46 0.6× 12 334
Michaela Šidiková Czechia 6 167 0.7× 27 0.3× 70 0.8× 107 1.3× 66 0.8× 9 318
Valentín Masero Spain 4 356 1.5× 73 0.7× 165 1.9× 62 0.7× 25 0.3× 12 457

Countries citing papers authored by Dharmendra Gurve

Since Specialization
Citations

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

Fields of papers citing papers by Dharmendra Gurve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dharmendra Gurve

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

All Works

18 of 18 papers shown
1.
Gurve, Dharmendra, et al.. (2024). A Vital-Signs Monitoring Wristband With Real-Time In-Sensor Data Analysis Using Very Low-Hardware Resources. IEEE Sensors Journal. 24(11). 18392–18404. 2 indexed citations
2.
Gurve, Dharmendra, et al.. (2022). CCA-Based Compressive Sensing for SSVEP-Based Brain-Computer Interfaces to Command a Robotic Wheelchair. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 25 indexed citations
3.
Delisle-Rodríguez, Denis, et al.. (2022). BCI based on pedal end-effector triggered through pedaling imagery to promote excitability over the feet motor area. Research on Biomedical Engineering. 38(2). 439–449. 2 indexed citations
4.
Delisle-Rodríguez, Denis, et al.. (2021). Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity. Sensors. 21(6). 2020–2020. 15 indexed citations
5.
Gurve, Dharmendra, Denis Delisle-Rodríguez, Teodiano Bastos-Filho, & Sridhar Krishnan. (2020). Trends in Compressive Sensing for EEG Signal Processing Applications. Sensors. 20(13). 3703–3703. 34 indexed citations
6.
Delisle-Rodríguez, Denis, et al.. (2020). A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(4). 988–996. 62 indexed citations
7.
Delisle-Rodríguez, Denis, et al.. (2020). Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton. PubMed. 2020. 3848–3851. 2 indexed citations
8.
9.
Gurve, Dharmendra & Sridhar Krishnan. (2019). Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. IEEE Journal of Biomedical and Health Informatics. 24(3). 669–680. 46 indexed citations
10.
Gurve, Dharmendra, et al.. (2019). Subject-specific EEG channel selection using non-negative matrix factorization for lower-limb motor imagery recognition. Journal of Neural Engineering. 17(2). 26029–26029. 32 indexed citations
11.
Delisle-Rodríguez, Denis, et al.. (2019). System based on subject-specific bands to recognize pedaling motor imagery: towards a BCI for lower-limb rehabilitation. Journal of Neural Engineering. 16(5). 56005–56005. 32 indexed citations
12.
Gurve, Dharmendra, Denis Delisle-Rodríguez, Teodiano Bastos-Filho, & Sridhar Krishnan. (2019). Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization. PubMed. 2019. 3083–3086. 2 indexed citations
13.
Kaleem, Muhammad, Dharmendra Gurve, Aziz Guergachi, & Sridhar Krishnan. (2018). Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach. Journal of Neural Engineering. 15(5). 56004–56004. 31 indexed citations
14.
Gurve, Dharmendra & Sridhar Krishnan. (2018). Deep Learning of EEG Time–Frequency Representations for Identifying Eye States. 10(2). 1840006–1840006. 11 indexed citations
15.
Gurve, Dharmendra, et al.. (2017). Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA. PubMed. 2017. 2794–2797. 16 indexed citations
16.
Gurve, Dharmendra, Barjinder Singh Saini, & Indu Saini. (2016). An improved lossy and lossless combined ECG data compression using ASCII character encoding. International Journal of Medical Engineering and Informatics. 8(4). 347–347. 3 indexed citations
17.
Gurve, Dharmendra, Barjinder Singh Saini, & Indu Saini. (2016). An improved lossless ECG data compression using ASCII character encoding. 758–764. 2 indexed citations
18.
Gurve, Dharmendra, et al.. (2015). Application of Empirical Wavelet Transform (EWT) on images to explore Brain Tumor. 4. 200–204. 6 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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