Narayan Vyas

528 total citations
31 papers, 214 citations indexed

About

Narayan Vyas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Narayan Vyas has authored 31 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Health Information Management. Recurrent topics in Narayan Vyas's work include Artificial Intelligence in Healthcare (4 papers), Remote Sensing and Land Use (4 papers) and Blockchain Technology Applications and Security (3 papers). Narayan Vyas is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Remote Sensing and Land Use (4 papers) and Blockchain Technology Applications and Security (3 papers). Narayan Vyas collaborates with scholars based in India, Italy and United States. Narayan Vyas's co-authors include Vishal Dutt, Abhishek Kumar, Deepak Agarwal, Umesh Kumar Lilhore, Abhineet Anand, Rashmi Agrawal, Akshit Singh, Raj Kumar, Anurag Rajput and Abdul W. Basit and has published in prestigious journals such as Remote Sensing Applications Society and Environment, Earth Science Informatics and THE SCIENTIFIC TEMPER.

In The Last Decade

Narayan Vyas

26 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narayan Vyas India 10 63 39 33 25 23 31 214
Abhinav Juneja India 10 61 1.0× 26 0.7× 35 1.1× 24 1.0× 35 1.5× 23 225
Ritika Mehra India 7 67 1.1× 62 1.6× 11 0.3× 22 0.9× 25 1.1× 22 231
Thulasi Bikku India 8 115 1.8× 48 1.2× 48 1.5× 26 1.0× 30 1.3× 42 244
Huirui Han China 6 114 1.8× 33 0.8× 90 2.7× 19 0.8× 56 2.4× 16 268
Khalil Maalmi Morocco 9 127 2.0× 95 2.4× 25 0.8× 26 1.0× 32 1.4× 14 243
Bader Fahad Alkhamees Saudi Arabia 9 129 2.0× 76 1.9× 22 0.7× 47 1.9× 34 1.5× 20 274
B. Nithya India 5 135 2.1× 101 2.6× 31 0.9× 35 1.4× 29 1.3× 13 247
V. Ilango India 6 136 2.2× 110 2.8× 32 1.0× 39 1.6× 33 1.4× 31 281
M. Sudha India 8 69 1.1× 27 0.7× 17 0.5× 12 0.5× 33 1.4× 22 212
Shakil Ahmed Bangladesh 8 137 2.2× 23 0.6× 31 0.9× 29 1.2× 28 1.2× 14 238

Countries citing papers authored by Narayan Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayan Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Narayan Vyas. A scholar is included among the top collaborators of Narayan Vyas 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 Narayan Vyas. Narayan Vyas 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.
Vyas, Narayan, et al.. (2025). A novel pixel-based deep neural network in posterior probability space for the detection of agriculture changes using remote sensing data. Remote Sensing Applications Society and Environment. 38. 101591–101591.
2.
Vyas, Narayan, et al.. (2024). Comparative Analysis of Different Classifiers on Fusion of Sentinel Datasets for Agriculture Land. 1173–1177. 1 indexed citations
3.
Kumar, R. Senthil, et al.. (2023). Task offloading and trajectory control techniques in unmanned aerial vehicles with Internet of Things – An exhaustive review. THE SCIENTIFIC TEMPER. 14(4). 1352–1359. 2 indexed citations
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Akanksha, Akanksha, et al.. (2023). Deep Learning-Based Automatic Face Expression Recognition Framework. 1291–1296.
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Vyas, Narayan, et al.. (2023). Healthcare in the Aftermath of COVID-19: Charting a Course for the Future. 110. 1280–1285.
8.
Dutt, Vishal, et al.. (2023). Student Sentiment Analysis Using Various Machine Learning Techniques. 104–107. 12 indexed citations
9.
Vyas, Narayan, et al.. (2023). Detecting Seizures from EEG Data: The Potential of Deep Learning Techniques. 439–444. 1 indexed citations
10.
Vyas, Narayan, et al.. (2023). Cloud Security: Challenges and Strategies for Ensuring Data Protection. 669–673. 9 indexed citations
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Kumar, Abhishek, et al.. (2023). A Novel Approach for Anomaly Detection in Time-Series Data using Generative Adversarial Networks. 1352–1357. 24 indexed citations
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Agarwal, Deepak, et al.. (2023). A Machine Learning Framework for Accurate Prediction of Parkinson's Disease from Speech Data. 1–6. 5 indexed citations
17.
Agrawal, Rashmi, et al.. (2023). Improved Healthcare System with Quantum Computing. 99–103. 14 indexed citations
18.
Dutt, Vishal, et al.. (2023). Personalized Cardiovascular Disease Risk Prediction Using Random Forest: An Optimized Approach. 226–232. 4 indexed citations
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Dutt, Vishal, et al.. (2020). Big Data Approach for Medical Data Classification: A Review Study. 762–766. 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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