G. Venugopal

623 total citations
48 papers, 462 citations indexed

About

G. Venugopal is a scholar working on Biomedical Engineering, Mechanical Engineering and Cognitive Neuroscience. According to data from OpenAlex, G. Venugopal has authored 48 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 10 papers in Mechanical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in G. Venugopal's work include Muscle activation and electromyography studies (25 papers), Advanced Sensor and Energy Harvesting Materials (13 papers) and Nanofluid Flow and Heat Transfer (8 papers). G. Venugopal is often cited by papers focused on Muscle activation and electromyography studies (25 papers), Advanced Sensor and Energy Harvesting Materials (13 papers) and Nanofluid Flow and Heat Transfer (8 papers). G. Venugopal collaborates with scholars based in India and United States. G. Venugopal's co-authors include Ramakrishnan Swaminathan, C. Balaji, S. P. Venkateshan, Charles N. David, P. A. Karthick, K. Rajanna, S. Ramakrishnan, Debasis Sadhukhan, Nagarajan Ganapathy and Colin D. Paul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Developmental Biology and International Journal of Heat and Mass Transfer.

In The Last Decade

G. Venugopal

43 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Venugopal India 11 296 106 92 89 48 48 462
Archana Sangole Canada 14 139 0.5× 74 0.7× 22 0.2× 12 0.1× 4 0.1× 33 642
Ahmed Ramadan Egypt 12 206 0.7× 28 0.3× 5 0.1× 61 0.7× 2 0.0× 55 443
Shuang Liang China 12 86 0.3× 204 1.9× 11 0.1× 68 0.8× 33 0.7× 53 478
Tomoya Tamei Japan 11 341 1.2× 227 2.1× 45 0.5× 29 0.3× 23 492
Sung Q Lee South Korea 13 234 0.8× 87 0.8× 60 0.7× 83 0.9× 41 454
Riccardo Secoli United Kingdom 17 347 1.2× 88 0.8× 6 0.1× 65 0.7× 33 612
Mu Qiao United States 14 240 0.8× 76 0.7× 43 0.5× 8 0.1× 2 0.0× 46 536
Todd R. Farrell United States 13 648 2.2× 398 3.8× 18 0.2× 54 0.6× 30 818
John B. Davidson United States 11 184 0.6× 43 0.4× 16 0.2× 19 0.2× 23 464
Takashi Komeda Japan 15 292 1.0× 62 0.6× 4 0.0× 48 0.5× 91 620

Countries citing papers authored by G. Venugopal

Since Specialization
Citations

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

Fields of papers citing papers by G. Venugopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Venugopal. A scholar is included among the top collaborators of G. Venugopal 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. Venugopal. G. Venugopal 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
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Venugopal, G., et al.. (2024). Augmenting interpretation of vaginoscopy observations in cycling bitches with deep learning model. BMC Veterinary Research. 20(1). 401–401. 2 indexed citations
4.
Venugopal, G., et al.. (2024). Analysis of induced dynamic biceps EMG signal complexity using Markov transition networks. Biomedical Engineering Letters. 14(4). 765–774.
5.
Venugopal, G., et al.. (2022). A Muscle Fiber Conduction Velocity Estimator Using Surface Electromyography Signals Acquired From Vastus Lateralis. 2022 IEEE 19th India Council International Conference (INDICON). 1–6. 1 indexed citations
6.
Venugopal, G., et al.. (2021). Thermal behaviour of heated stationary inner cylinder of a concentric vertical annulus formed with rotating outer cylinder. IOP Conference Series Materials Science and Engineering. 1114(1). 12050–12050. 1 indexed citations
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Venugopal, G., et al.. (2020). Veterinary Image Enhancement using DWTDCT and Singular Value Decomposition. 920–924. 3 indexed citations
9.
Venugopal, G., et al.. (2020). Analysis of Surface EMG Signals under Fatigue Conditions using Sum of Sines Models. 849–852. 2 indexed citations
10.
Venugopal, G., et al.. (2019). Convection in vertical annular gap formed by stationary heated inner cylinder and rotating unheated outer cylinder. Heat and Mass Transfer. 55(10). 2873–2888. 4 indexed citations
11.
Venugopal, G., et al.. (2019). Experimental investigation on effect of helical grooves on condensation heat transfer performance of vertically oriented copper tubes. SHILAP Revista de lepidopterología. 128. 6001–6001. 1 indexed citations
12.
Venugopal, G., et al.. (2017). Generation of synthetic surface electromyography signals under fatigue conditions for varying force inputs using feedback control algorithm. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 231(11). 1025–1033. 5 indexed citations
13.
Karthick, P. A., G. Venugopal, & Ramakrishnan Swaminathan. (2015). Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals. Journal of Medical Systems. 40(1). 28–28. 26 indexed citations
14.
Venugopal, G. & Ramakrishnan Swaminathan. (2014). Analysis of progressive changes associated with muscle fatigue in dynamic contraction of biceps brachii muscle using surface EMG signals and bispectrum features. Biomedical Engineering Letters. 4(3). 269–276. 21 indexed citations
15.
Venugopal, G., et al.. (2013). Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. Expert Systems with Applications. 41(6). 2652–2659. 130 indexed citations
16.
Venugopal, G., C. Balaji, & S. P. Venkateshan. (2009). Experimental study of mixed convection heat transfer in a vertical duct filled with metallic porous structures. International Journal of Thermal Sciences. 49(2). 340–348. 61 indexed citations
17.
Venugopal, G., C. Balaji, & S. P. Venkateshan. (2008). A correlation for laminar mixed convection from vertical plates using transient experiments. Heat and Mass Transfer. 44(12). 1417–1425. 9 indexed citations
18.
Venugopal, G. & Charles N. David. (1981). Nerve commitment in Hydra. Developmental Biology. 83(2). 361–365. 13 indexed citations
19.
Venugopal, G. & Charles N. David. (1981). Nerve commitment in Hydra. Developmental Biology. 83(2). 353–360. 27 indexed citations
20.
Venugopal, G. & Charles N. David. (1981). Spatial pattern of nerve differentiation in Hydra is due to a pattern of nerve commitment. Developmental Biology. 83(2). 366–369. 15 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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