Pratik Y. Chhatbar

1.7k total citations
32 papers, 1.2k citations indexed

About

Pratik Y. Chhatbar is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Pratik Y. Chhatbar has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 9 papers in Biomedical Engineering. Recurrent topics in Pratik Y. Chhatbar's work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Neural dynamics and brain function (8 papers). Pratik Y. Chhatbar is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Neural dynamics and brain function (8 papers). Pratik Y. Chhatbar collaborates with scholars based in United States, China and Taiwan. Pratik Y. Chhatbar's co-authors include Wuwei Feng, Steven A. Kautz, Prakash Kara, Zhongyang Lu, Philip O’Herron, Zhiming Shen, Mark S. George, Gottfried Schlaug, Christopher Doughty and Vasileios‐Arsenios Lioutas and has published in prestigious journals such as Nature, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Pratik Y. Chhatbar

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratik Y. Chhatbar United States 16 436 365 310 261 218 32 1.2k
Robert Schulz Germany 20 472 1.1× 609 1.7× 268 0.9× 95 0.4× 462 2.1× 58 1.2k
Michael T. Jurkiewicz Canada 12 147 0.3× 478 1.3× 217 0.7× 134 0.5× 140 0.6× 31 1.1k
Yoshino Ueki Japan 21 536 1.2× 413 1.1× 68 0.2× 206 0.8× 194 0.9× 78 1.4k
Theodor Rüber Germany 18 239 0.5× 542 1.5× 117 0.4× 70 0.3× 352 1.6× 67 1.3k
Michael D. Staudt United States 20 212 0.5× 406 1.1× 101 0.3× 81 0.3× 189 0.9× 83 1.6k
Laura Bonzano Italy 26 219 0.5× 471 1.3× 79 0.3× 158 0.6× 396 1.8× 69 1.9k
Sein Schmidt Germany 19 748 1.7× 567 1.6× 59 0.2× 121 0.5× 250 1.1× 53 1.4k
Kajo van der Marel Netherlands 15 235 0.5× 578 1.6× 114 0.4× 66 0.3× 456 2.1× 29 1.2k
U. Knorr Germany 19 496 1.1× 781 2.1× 172 0.6× 132 0.5× 376 1.7× 29 1.5k
Gergely Silasi Canada 23 339 0.8× 407 1.1× 84 0.3× 84 0.3× 175 0.8× 37 1.6k

Countries citing papers authored by Pratik Y. Chhatbar

Since Specialization
Citations

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

Fields of papers citing papers by Pratik Y. Chhatbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pratik Y. Chhatbar. 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 Pratik Y. Chhatbar. The network helps show where Pratik Y. Chhatbar may publish in the future.

Co-authorship network of co-authors of Pratik Y. Chhatbar

This figure shows the co-authorship network connecting the top 25 collaborators of Pratik Y. Chhatbar. A scholar is included among the top collaborators of Pratik Y. Chhatbar 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 Pratik Y. Chhatbar. Pratik Y. Chhatbar 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.
Chen, Mengyue, Chang Peng, Huaiyu Wu, et al.. (2022). Numerical and experimental evaluation of low‐intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation. Medical Physics. 50(1). 38–49. 28 indexed citations
2.
Francis, Joseph T., Shaohua Xu, Pratik Y. Chhatbar, et al.. (2022). Similarities Between Somatosensory Cortical Responses Induced via Natural Touch and Microstimulation in the Ventral Posterior Lateral Thalamus in Macaques. Frontiers in Neuroscience. 16. 812837–812837.
3.
Park, Christine, Pratik Y. Chhatbar, Jody Feld, et al.. (2021). Effect of Low Intensity Transcranial Ultrasound Stimulation on Neuromodulation in Animals and Humans: An Updated Systematic Review. Frontiers in Neuroscience. 15. 620863–620863. 36 indexed citations
4.
Nam, Chang S., Zachary Traylor, Mengyue Chen, et al.. (2021). Direct Communication Between Brains: A Systematic PRISMA Review of Brain-To-Brain Interface. Frontiers in Neurorobotics. 15. 656943–656943. 15 indexed citations
5.
6.
Chhatbar, Pratik Y., et al.. (2021). Microdermabrasion Facilitates Direct Current Stimulation by Lowering Skin Resistance. SHILAP Revista de lepidopterología. 2(3). e76–e76. 4 indexed citations
7.
Zheng, Haiqing, Pratik Y. Chhatbar, Yi Dong, et al.. (2018). Mesenchymal Stem Cell Therapy in Stroke: A Systematic Review of Literature in Pre-Clinical and Clinical Research. Cell Transplantation. 27(12). 1723–1730. 61 indexed citations
8.
Chhatbar, Pratik Y., Steven A. Kautz, István Takács, et al.. (2018). Evidence of transcranial direct current stimulation-generated electric fields at subthalamic level in human brain in vivo. Brain stimulation. 11(4). 727–733. 76 indexed citations
9.
Feng, Wuwei, Steven A. Kautz, Gottfried Schlaug, et al.. (2018). Transcranial Direct Current Stimulation for Poststroke Motor Recovery: Challenges and Opportunities. PM&R. 10(9S2). S157–S164. 25 indexed citations
10.
Feng, Wuwei, et al.. (2017). Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis. Journal of the Neurological Sciences. 378. 140–145. 29 indexed citations
11.
12.
Feng, Wuwei, Pratik Y. Chhatbar, Steven A. Kautz, & Mark S. George. (2017). Poster 470: Safety and Tolerability of Transcranial Direct Current Stimulation to Stroke Patients – A Phase I Current Escalation Study. PM&R. 9(9S1). 1 indexed citations
13.
Chhatbar, Pratik Y., Rong Chen, Rachael Deardorff, et al.. (2017). Safety and tolerability of transcranial direct current stimulation to stroke patients – A phase I current escalation study. Brain stimulation. 10(3). 553–559. 81 indexed citations
14.
O’Herron, Philip, Pratik Y. Chhatbar, Manuel Levy, et al.. (2016). Neural correlates of single-vessel haemodynamic responses in vivo. Nature. 534(7607). 378–382. 143 indexed citations
15.
Chhatbar, Pratik Y. & Prakash Kara. (2013). Improved blood velocity measurements with a hybrid image filtering and iterative Radon transform algorithm. Frontiers in Neuroscience. 7. 106–106. 32 indexed citations
16.
Shen, Zhiming, Zhongyang Lu, Pratik Y. Chhatbar, Philip O’Herron, & Prakash Kara. (2012). An artery-specific fluorescent dye for studying neurovascular coupling. Nature Methods. 9(3). 273–276. 144 indexed citations
17.
Chhatbar, Pratik Y., et al.. (2011). Reinforcement learning via kernel temporal difference. PubMed. 2011. 5662–5665. 19 indexed citations
18.
Chhatbar, Pratik Y., et al.. (2011). Stochastic kernel temporal difference for reinforcement learning. 1–6. 8 indexed citations
19.
Chhatbar, Pratik Y., et al.. (2010). A bio-friendly and economical technique for chronic implantation of multiple microelectrode arrays. Journal of Neuroscience Methods. 188(2). 187–194. 23 indexed citations
20.
Chhatbar, Pratik Y. & Joseph T. Francis. (2010). Comparison of force and power generation patterns and their predictions under different external dynamic environments. PubMed. 86. 1686–1690. 4 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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