Vikram Aggarwal

1.0k total citations
34 papers, 745 citations indexed

About

Vikram Aggarwal is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Vikram Aggarwal has authored 34 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Vikram Aggarwal's work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (18 papers) and Muscle activation and electromyography studies (8 papers). Vikram Aggarwal is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (18 papers) and Muscle activation and electromyography studies (8 papers). Vikram Aggarwal collaborates with scholars based in United States, South Korea and India. Vikram Aggarwal's co-authors include Nitish V. Thakor, Marc H. Schieber, Soumyadipta Acharya, Michelle X. Zhou, Mohsen Mollazadeh, Aniruddha Chatterjee, Adam Davidson, Ander Ramos, Francesco V. Tenore and Hyun‐Chool Shin and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Vikram Aggarwal

34 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Aggarwal United States 15 556 418 270 102 74 34 745
Enrique Hortal Spain 12 392 0.7× 202 0.5× 172 0.6× 51 0.5× 35 0.5× 35 552
Mark N. Gasson United Kingdom 13 262 0.5× 230 0.6× 166 0.6× 45 0.4× 29 0.4× 26 570
D. N. Tibarewala India 16 505 0.9× 176 0.4× 122 0.5× 92 0.9× 50 0.7× 65 745
Matthieu Duvinage Belgium 15 735 1.3× 227 0.5× 214 0.8× 67 0.7× 274 3.7× 26 1.1k
Neethu Robinson Singapore 17 1.1k 2.0× 424 1.0× 196 0.7× 203 2.0× 54 0.7× 44 1.3k
Anwesha Khasnobish India 12 353 0.6× 142 0.3× 118 0.4× 80 0.8× 34 0.5× 54 496
Jung‐Tai King Taiwan 15 455 0.8× 114 0.3× 90 0.3× 67 0.7× 35 0.5× 39 751
Jiahao Fan China 16 438 0.8× 90 0.2× 360 1.3× 43 0.4× 71 1.0× 38 760
Önder Aydemir Türkiye 15 372 0.7× 158 0.4× 187 0.7× 89 0.9× 16 0.2× 63 590

Countries citing papers authored by Vikram Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Aggarwal. A scholar is included among the top collaborators of Vikram Aggarwal 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 Vikram Aggarwal. Vikram Aggarwal 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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Aggarwal, Vikram, et al.. (2022). Erenumab for episodic migraine. Pain Management. 12(5). 587–594. 3 indexed citations
4.
Mollazadeh, Mohsen, Vikram Aggarwal, Nitish V. Thakor, & Marc H. Schieber. (2014). Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements. Journal of Neurophysiology. 112(8). 1857–1870. 29 indexed citations
5.
Kim, Hyoung-Nam, Yong Hee Kim, Hyun‐Chool Shin, et al.. (2012). Neuron selection by relative importance for neural decoding of dexterous finger prosthesis control application. Biomedical Signal Processing and Control. 7(6). 632–639. 3 indexed citations
6.
Aggarwal, Vikram, et al.. (2011). Identifying neuron communities during a reach and grasp task using an unsupervised clustering analysis. PubMed. 296. 6401–6404. 2 indexed citations
7.
Mollazadeh, Mohsen, Vikram Aggarwal, Adam Davidson, et al.. (2011). Spatiotemporal Variation of Multiple Neurophysiological Signals in the Primary Motor Cortex during Dexterous Reach-to-Grasp Movements. Journal of Neuroscience. 31(43). 15531–15543. 55 indexed citations
8.
Aggarwal, Vikram, et al.. (2011). An optimal control problem in closed-loop neuroprostheses. 53–58. 2 indexed citations
9.
Aggarwal, Vikram, Matthew S. D. Kerr, Adam Davidson, et al.. (2011). Cortical control of reach and grasp kinematics in a virtual environment using musculoskeletal modeling software. 388–391. 14 indexed citations
10.
Aggarwal, Vikram, et al.. (2010). Ensemble Fractional Sensitivity: A Quantitative Approach to Neuron Selection for Decoding Motor Tasks. Computational Intelligence and Neuroscience. 2010. 1–9. 14 indexed citations
11.
Tenore, Francesco V., et al.. (2010). Revolutionizing Prosthetics 2009: Dexterous Control of an Upper-Limb Neuroprosthesis. 28(3). 210–211. 9 indexed citations
12.
Aggarwal, Vikram, Francesco V. Tenore, S. Acharya, Marc H. Schieber, & Nitish V. Thakor. (2009). Cortical decoding of individual finger and wrist kinematics for an upper-limb neuroprosthesis. PubMed. 2009. 4535–4538. 18 indexed citations
13.
Mollazadeh, Mohsen, Vikram Aggarwal, Nitish V. Thakor, et al.. (2009). Coherency between spike and LFP activity in M1 during hand movements. PubMed. 2009. 506–509. 11 indexed citations
14.
Shin, Hyun‐Chool, Vikram Aggarwal, Soumyadipta Acharya, Marc H. Schieber, & Nitish V. Thakor. (2009). Neural Decoding of Finger Movements Using Skellam-Based Maximum-Likelihood Decoding. IEEE Transactions on Biomedical Engineering. 57(3). 754–760. 35 indexed citations
15.
Tenore, Francesco V., Vikram Aggarwal, James R. White, Marc H. Schieber, & Nitish V. Thakor. (2009). Computational complexity versus accuracy in classification of cortical neural signals. 261. 750–753. 1 indexed citations
16.
Chatterjee, Aniruddha, Vikram Aggarwal, Ander Ramos, Soumyadipta Acharya, & Nitish V. Thakor. (2007). A brain-computer interface with vibrotactile biofeedback for haptic information. Journal of NeuroEngineering and Rehabilitation. 4(1). 40–40. 140 indexed citations
17.
Acharya, Soumyadipta, Vikram Aggarwal, Francesco V. Tenore, et al.. (2007). Towards a Brain-Computer Interface for Dexterous Control of a Multi-Fingered Prosthetic Hand. 85. 200–203. 17 indexed citations
18.
Aggarwal, Vikram, et al.. (2006). Ultrasound-Guided Noninvasive Measurement of a Patient's Central Venous Pressure. PubMed. 2006. 3843–3849. 6 indexed citations
19.
Zhou, Michelle X., et al.. (2006). Enabling context-sensitive information seeking. 116–123. 13 indexed citations
20.
Zhou, Michelle X., Zhen Wen, & Vikram Aggarwal. (2005). A graph-matching approach to dynamic media allocation in intelligent multimedia interfaces. 114–121. 13 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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