Yogendra Narayan

28 papers receiving 293 citations

Peers

Yogendra Narayan
Comparison fields: 5 of 80
  • Human-Computer Interaction 43
  • Cognitive Neuroscience 102
  • Biomedical Engineering 101
  • Rehabilitation 12
  • Ceramics and Composites 11
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Lourdes Miró-Amarante Spain
Steve C. Chiu United States
Xueli Sun China
Chun Sing Louis Tsui United Kingdom
Rakesh Ranjan India
Arun Venkatraman United States
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Citations per field
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Citations per year

Countries citing papers authored by Yogendra Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Yogendra Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yogendra Narayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yogendra Narayan Line = papers co-authored together Yogendra Narayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 202032
3 202030
4 201826
5 201624
6 199923
7 202119
8 200219
9 201518
10 201518
11 202214
12 20229
13 20218
14 20257
15 20255
16 20025
17 20164
18 20213
19
MI based Brain Signals identification using KNN and MLP Classifiers
20212
20 20212

About Yogendra Narayan

Yogendra Narayan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 39 papers that have together received 316 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Muscle activation and electromyography studies (9 papers), Gaze Tracking and Assistive Technology (5 papers), Brain Tumor Detection and Classification (4 papers), Neuroscience and Neural Engineering (4 papers), Electrical and Thermal Properties of Materials (3 papers), Advanced Computing and Algorithms (3 papers) and Microwave Dielectric Ceramics Synthesis (2 papers). The work is most often cited by research in Human-Computer Interaction (43 citations), Cognitive Neuroscience (102 citations), Biomedical Engineering (101 citations), Rehabilitation (12 citations) and Ceramics and Composites (11 citations). Yogendra Narayan has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Lini Mathew, S. Chatterji, Aditya Bhardwaj, Preeti Kumari, Aly E. Fathy, V. Pendrick, Vineet Kumar Singh, Meet Kumari, Vivek Arya and Hasmat Malik. Their work appears in journals such as Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Transactions on Emerging Telecommunications Technologies, Energies and Journal of Intelligent & Fuzzy Systems.

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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