Vishal Dutt

990 total citations
37 papers, 386 citations indexed

About

Vishal Dutt is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vishal Dutt has authored 37 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Health Information Management and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vishal Dutt's work include Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (7 papers) and COVID-19 diagnosis using AI (7 papers). Vishal Dutt is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (7 papers) and COVID-19 diagnosis using AI (7 papers). Vishal Dutt collaborates with scholars based in India, Russia and Spain. Vishal Dutt's co-authors include Abhishek Kumar, Narayan Vyas, Abhishek Kumar, Vicente García‐Díaz, Ashutosh Kumar Dubey, Rashmi Agrawal, Abhineet Anand, Raj Kumar, Pramod Singh Rathore and Karan Bajaj and has published in prestigious journals such as Biomedical Signal Processing and Control, Expert Systems and International Journal of Interactive Multimedia and Artificial Intelligence.

In The Last Decade

Vishal Dutt

34 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishal Dutt India 12 120 74 67 58 49 37 386
Nasmin Jiwani United States 14 100 0.8× 46 0.6× 42 0.6× 90 1.6× 74 1.5× 37 446
Ketan Gupta United States 12 99 0.8× 43 0.6× 37 0.6× 88 1.5× 71 1.4× 44 417
Jiangang Ma Australia 11 168 1.4× 65 0.9× 55 0.8× 43 0.7× 76 1.6× 29 468
Shiva Shankar Reddy India 12 136 1.1× 41 0.6× 80 1.2× 73 1.3× 43 0.9× 86 478
Prableen Kaur India 5 227 1.9× 48 0.6× 56 0.8× 84 1.4× 52 1.1× 9 474
Balajee Maram India 9 109 0.9× 78 1.1× 108 1.6× 46 0.8× 36 0.7× 65 334
Kaushik Sekaran India 10 140 1.2× 50 0.7× 44 0.7× 16 0.3× 56 1.1× 18 391
Mohammed Amine Chikh Algeria 10 138 1.1× 46 0.6× 62 0.9× 36 0.6× 60 1.2× 34 279
Ahmet İlhan Cyprus 8 137 1.1× 79 1.1× 137 2.0× 118 2.0× 23 0.5× 18 424
Yunlei Sun China 7 161 1.3× 65 0.9× 56 0.8× 53 0.9× 63 1.3× 15 384

Countries citing papers authored by Vishal Dutt

Since Specialization
Citations

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

Fields of papers citing papers by Vishal Dutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishal Dutt

This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Dutt. A scholar is included among the top collaborators of Vishal Dutt 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 Vishal Dutt. Vishal Dutt 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
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Kumar, Pankaj, Sudhir Bhandari, & Vishal Dutt. (2023). Pre-Trained Deep Learning-Based Approaches for Eye Disease Detection. 1286–1290. 5 indexed citations
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Rajput, Anurag, et al.. (2023). E-commerce: the Enhancement with the Integration of AR and VR. 163–168.
6.
Dutt, Vishal, et al.. (2023). Student Sentiment Analysis Using Various Machine Learning Techniques. 104–107. 12 indexed citations
7.
Kumar, Abhishek, et al.. (2023). IoT based arrhythmia classification using the enhanced hunt optimization‐based deep learning. Expert Systems. 40(7). 11 indexed citations
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Kumar, Abhishek, et al.. (2022). IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier. Biomedical Signal Processing and Control. 76. 103638–103638. 37 indexed citations
11.
Dutt, Vishal, et al.. (2021). A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption Strategies.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(2). 150–157. 12 indexed citations
12.
Kumar, Abhishek, et al.. (2021). Twitter sentimental analysis from time series facts: the implementation of enhanced support vector machine. Bulletin of Electrical Engineering and Informatics. 10(5). 2845–2856. 1 indexed citations
13.
Dutt, Vishal, et al.. (2021). A Review of Machine Learning Approaches in Clinical Healthcare. EAI/Springer Innovations in Communication and Computing. 243–258. 2 indexed citations
14.
Kumar, Abhishek, et al.. (2021). Multi Model Implementation on General Medicine Prediction with Quantum Neural Networks. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 1391–1395. 16 indexed citations
15.
García‐Díaz, Vicente, et al.. (2020). QUANTUM NEURAL NETWORKS FOR DISEASE TREATMENT IDENTIFICATION. 7(11). 57–67. 11 indexed citations
16.
Singh, Vikas, et al.. (2020). Impact Of Covid 19 On Fmcg Sector. 7(12). 4477–4484. 2 indexed citations
17.
Kumar, Abhishek, et al.. (2020). Improving Health Care by Help of Internet of Things and Bigdata Analytics and Cloud Computing. 1–4. 29 indexed citations
18.
Kumar, Abhishek, Pramod Singh Rathore, & Vishal Dutt. (2019). An IOT Method for Reducing Classification Error In Face Recognition With The Commuted Concept Of Conventional Algorithm. International Journal of Innovative Technology and Exploring Engineering. 8(11). 1–7. 7 indexed citations
19.
Kumar, Abhishek, et al.. (2019). MACHINE LEARNING IMPLEMENTATION FOR SMART HEALTH RECORDS: A DIGITAL CARRY CARD. 3(1). 6 indexed citations
20.
Dutt, Vishal, et al.. (2017). Emerging Trends on Big Data & Cloud Computing. 1(1). 23–32. 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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