Ashwati Krishnan

428 total citations
14 papers, 274 citations indexed

About

Ashwati Krishnan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Ashwati Krishnan has authored 14 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ashwati Krishnan's work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Advanced Memory and Neural Computing (4 papers). Ashwati Krishnan is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Advanced Memory and Neural Computing (4 papers). Ashwati Krishnan collaborates with scholars based in United States, India and China. Ashwati Krishnan's co-authors include G. M. Joselin Herbert, Shawn Kelly, Pulkit Grover, Christophe Marsala, Marcin Detyniecki, Mel Siegel, Praveen Venkatesh, William F. Ellersick, Douglas B. Shire and Joseph F. Rizzo and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Neural Engineering and MAUSAM.

In The Last Decade

Ashwati Krishnan

14 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwati Krishnan United States 7 95 59 44 44 32 14 274
Yuhao Zhou China 11 31 0.3× 27 0.5× 45 1.0× 48 1.1× 26 0.8× 42 347
Haein Shin South Korea 8 150 1.6× 28 0.5× 39 0.9× 105 2.4× 13 0.4× 11 320
Lili Li China 9 61 0.6× 62 1.1× 25 0.6× 92 2.1× 8 0.3× 37 329
Mingyue Zhao China 12 105 1.1× 43 0.7× 5 0.1× 63 1.4× 30 0.9× 19 351
Andrew Wright United States 9 175 1.8× 18 0.3× 13 0.3× 20 0.5× 21 0.7× 34 360
Yujie Wu China 13 35 0.4× 165 2.8× 65 1.5× 60 1.4× 14 0.4× 50 447
Zheng Fang China 10 107 1.1× 29 0.5× 14 0.3× 29 0.7× 18 0.6× 37 329
Xuelian Zhang China 10 57 0.6× 7 0.1× 13 0.3× 83 1.9× 15 0.5× 28 290
Luyao Chen China 12 94 1.0× 63 1.1× 16 0.4× 23 0.5× 2 0.1× 38 373
Filippo Moro France 7 15 0.2× 57 1.0× 49 1.1× 158 3.6× 11 0.3× 11 389

Countries citing papers authored by Ashwati Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ashwati Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwati Krishnan

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

All Works

14 of 14 papers shown
1.
Krishnan, Ashwati, et al.. (2021). Effect of skull thickness and conductivity on current propagation for noninvasively injected currents. Journal of Neural Engineering. 18(4). 46042–46042. 6 indexed citations
2.
Krishnan, Ashwati, et al.. (2021). Residual voltage as an ad-hoc indicator of electrode damage in biphasic electrical stimulation. Journal of Neural Engineering. 18(4). 0460c1–0460c1. 6 indexed citations
3.
Krishnan, Ashwati, et al.. (2020). Hydrophilic Conductive Sponge Sensors for Fast Setup, Low Impedance Bio-potential Measurements. PubMed. 2020. 3973–3976. 1 indexed citations
4.
Kelly, Shawn, et al.. (2020). Novel Electrodes for Reliable EEG Recordings on Coarse and Curly Hair. PubMed. 2020. 6151–6154. 52 indexed citations
6.
Krishnan, Ashwati, et al.. (2018). Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. PubMed. 2018. 1287–1290. 10 indexed citations
7.
Ahmed, Zabir, Ashwati Krishnan, Praveen Venkatesh, et al.. (2018). Flexible Ultra-resolution Subdermal EEG Probes. 7. 1–4. 4 indexed citations
8.
Krishnan, Ashwati, et al.. (2017). Real Time Video Copy Detection using Hadoop. International Journal of Computer Applications. 162(9). 42–45. 5 indexed citations
9.
Herbert, G. M. Joselin & Ashwati Krishnan. (2016). Quantifying environmental performance of biomass energy. Renewable and Sustainable Energy Reviews. 59. 292–308. 151 indexed citations
10.
Krishnan, Ashwati & Shawn Kelly. (2015). On using residual voltage to estimate electrode model parameters for damage detection. PubMed. 2015. 1–4. 1 indexed citations
11.
Kelly, Shawn, William F. Ellersick, Ashwati Krishnan, et al.. (2014). Redundant safety features in a high-channel-count retinal neurostimulator. PubMed. 2014. 216–219. 3 indexed citations
12.
Kelly, Shawn, Douglas B. Shire, Jinghua Chen, et al.. (2013). Developments on the Boston 256-channel retinal implant. 1–6. 15 indexed citations
13.
Detyniecki, Marcin, Christophe Marsala, Ashwati Krishnan, & Mel Siegel. (2012). Weather-based solar energy prediction. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 17 indexed citations
14.
Garg, H.P. & Ashwati Krishnan. (1974). Solar energy utilization potential in Jodhpur and New Delhi. MAUSAM. 25(3 & 4). 473–478. 1 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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