Ravikiran Mane

1.0k total citations · 1 hit paper
12 papers, 595 citations indexed

About

Ravikiran Mane is a scholar working on Cognitive Neuroscience, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ravikiran Mane has authored 12 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Epidemiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ravikiran Mane's work include EEG and Brain-Computer Interfaces (7 papers), Acute Ischemic Stroke Management (5 papers) and Neuroscience and Neural Engineering (4 papers). Ravikiran Mane is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Acute Ischemic Stroke Management (5 papers) and Neuroscience and Neural Engineering (4 papers). Ravikiran Mane collaborates with scholars based in Singapore, China and India. Ravikiran Mane's co-authors include Cuntai Guan, Tushar Chouhan, Neethu Robinson, A. P. Vinod, Seong‐Whan Lee, Zhenhua Wu, David Wang, Kok Soon Phua, Kai Keng Ang and Effie Chew and has published in prestigious journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, European Journal of Neurology and Journal of Neural Engineering.

In The Last Decade

Ravikiran Mane

12 papers receiving 581 citations

Hit Papers

BCI for stroke rehabilita... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravikiran Mane Singapore 10 465 200 114 100 90 12 595
О. А. Мокиенко Russia 13 480 1.0× 204 1.0× 213 1.9× 47 0.5× 51 0.6× 40 617
Gangadhar Garipelli Switzerland 8 430 0.9× 195 1.0× 161 1.4× 31 0.3× 78 0.9× 16 606
Tushar Chouhan Singapore 8 366 0.8× 164 0.8× 106 0.9× 95 0.9× 117 1.3× 11 464
David T. Bundy United States 16 823 1.8× 408 2.0× 207 1.8× 86 0.9× 49 0.5× 27 951
Pavel Bobrov Russia 13 407 0.9× 129 0.6× 118 1.0× 41 0.4× 37 0.4× 41 467
Alkinoos Athanasiou Greece 11 253 0.5× 89 0.4× 79 0.7× 34 0.3× 55 0.6× 35 413
Jessica Cantillo-Negrete Mexico 10 268 0.6× 152 0.8× 117 1.0× 61 0.6× 42 0.5× 37 381
Patricia Linortner Austria 9 341 0.7× 231 1.2× 74 0.6× 62 0.6× 76 0.8× 12 566
Wilson Low Singapore 4 335 0.7× 164 0.8× 163 1.4× 38 0.4× 44 0.5× 6 425
Emily M. Mugler United States 11 587 1.3× 227 1.1× 94 0.8× 124 1.2× 92 1.0× 19 727

Countries citing papers authored by Ravikiran Mane

Since Specialization
Citations

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

Fields of papers citing papers by Ravikiran Mane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravikiran Mane

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

All Works

12 of 12 papers shown
1.
Yang, Dan, Xin Wang, Xue Zhang, et al.. (2023). Temporal Evolution of Perihematomal Blood-Brain Barrier Compromise and Edema Growth After Intracerebral Hemorrhage. Clinical Neuroradiology. 33(3). 813–824. 6 indexed citations
2.
Mane, Ravikiran, Zhenhua Wu, & David Wang. (2022). Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review. Stroke and Vascular Neurology. 7(6). 541–549. 36 indexed citations
3.
Ding, Lingling, Ravikiran Mane, Zhenhua Wu, et al.. (2022). Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: A retrospective, multicentre cohort study. EClinicalMedicine. 53. 101639–101639. 20 indexed citations
4.
Yang, Dan, et al.. (2022). Association between cerebral blood flow changes and blood–brain barrier compromise in spontaneous intracerebral haemorrhage. Clinical Radiology. 77(11). 833–839. 7 indexed citations
5.
Robinson, Neethu, Ravikiran Mane, Tushar Chouhan, & Cuntai Guan. (2021). Emerging trends in BCI-robotics for motor control and rehabilitation. Current Opinion in Biomedical Engineering. 20. 100354–100354. 44 indexed citations
6.
Ding, Lingling, Ravikiran Mane, Shuai Wang, et al.. (2021). Predicting functional outcome in patients with acute brainstem infarction using deep neuroimaging features. European Journal of Neurology. 29(3). 744–752. 10 indexed citations
7.
Mane, Ravikiran, Tushar Chouhan, & Cuntai Guan. (2020). BCI for stroke rehabilitation: motor and beyond. Journal of Neural Engineering. 17(4). 41001–41001. 277 indexed citations breakdown →
8.
Mane, Ravikiran, Neethu Robinson, A. P. Vinod, Seong‐Whan Lee, & Cuntai Guan. (2020). A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface. PubMed. 2020. 2950–2953. 82 indexed citations
9.
Lu, Yuhao, et al.. (2020). Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy. PubMed. 2020. 1516–1519. 13 indexed citations
10.
Khng, Kiat Hui & Ravikiran Mane. (2020). Beyond BCI—Validating a wireless, consumer-grade EEG headset against a medical-grade system for evaluating EEG effects of a test anxiety intervention in school. Advanced Engineering Informatics. 45. 101106–101106. 20 indexed citations
11.
Mane, Ravikiran, Effie Chew, Kok Soon Phua, et al.. (2019). Prognostic and Monitory EEG-Biomarkers for BCI Upper-Limb Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(8). 1654–1664. 68 indexed citations
12.
Mane, Ravikiran, Effie Chew, Kok Soon Phua, et al.. (2018). Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation. PubMed. 2018. 3610–3613. 12 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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