Vishal Dutt

1.0k citations
35 papers · 399 · h-index 13

Impact in

Papers in

Vishal Dutt

33 papers receiving 378 citations

Peers

Vishal Dutt
Comparison fields: 5 of 86
  • Health Information Management 57
  • Health Informatics 13
  • Artificial Intelligence 120
  • Neurology 28
  • Radiology, Nuclear Medicine and Imaging 73
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Nasmin Jiwani United States
Prableen Kaur India
Apeksha Koul India
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Abdelmgeid A. Ali Egypt
Jiangang Ma Australia
D. Ravindran India
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Citations per field
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Citations per year

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-authors

The 18 scholars most cited alongside Vishal Dutt, 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 Vishal Dutt Line = papers co-authored together Vishal Dutt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202093
2 202239
3 202029
4 202326
5 202321
6 202116
7 202315
8 202314
9 202314
10 202014
11 202013
12 202112
13 202312
14
QUANTUM NEURAL NETWORKS FOR DISEASE TREATMENT IDENTIFICATION
202011
15 202310
16 20209
17 20197
18
MACHINE LEARNING IMPLEMENTATION FOR SMART HEALTH RECORDS: A DIGITAL CARRY CARD
20196
19 20216
20 20236

About Vishal Dutt

Vishal Dutt is a scholar working on Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 35 papers that have together received 399 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (7 papers), COVID-19 diagnosis using AI (7 papers), Brain Tumor Detection and Classification (5 papers), Advanced Text Analysis Techniques (3 papers), Digital Imaging for Blood Diseases (2 papers), Computational Drug Discovery Methods (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Health Information Management (57 citations), Health Informatics (13 citations), Artificial Intelligence (120 citations), Neurology (28 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Vishal Dutt has collaborated with scholars based in India, Russia and Spain. Frequent 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 Abhishek Kumar. Their work appears in journals such as Biomedical Signal Processing and Control, Expert Systems, Bulletin of Electrical Engineering and Informatics, International Journal of Interactive Multimedia and Artificial Intelligence and EAI/Springer Innovations in Communication and Computing.

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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