Vatsala Anand

2.5k total citations · 2 hit papers
165 papers, 1.5k citations indexed

About

Vatsala Anand is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vatsala Anand has authored 165 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 37 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vatsala Anand's work include AI in cancer detection (36 papers), Smart Agriculture and AI (24 papers) and COVID-19 diagnosis using AI (23 papers). Vatsala Anand is often cited by papers focused on AI in cancer detection (36 papers), Smart Agriculture and AI (24 papers) and COVID-19 diagnosis using AI (23 papers). Vatsala Anand collaborates with scholars based in India, Saudi Arabia and Taiwan. Vatsala Anand's co-authors include Sheifali Gupta, Kanwarpartap Singh Gill, Rupesh Gupta, Deepika Koundal, Soumya Ranjan Nayak, Karamjeet Singh, Avinash Sharma, Asadullah Shaikh, Adel Sulaiman and Mana Saleh Al Reshan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Vatsala Anand

135 papers receiving 1.5k citations

Hit Papers

Fusion of U-Net and CNN m... 2022 2026 2023 2024 2022 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
    2022 176 citations Vatsala Anand, Sheifali Gupta et al. profile →
  2. Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model
    2023 115 citations Mana Saleh Al Reshan, Kanwarpartap Singh Gill et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vatsala Anand India 18 454 294 291 235 211 165 1.5k
Syed Ahmad Chan Bukhari United States 20 605 1.3× 308 1.0× 386 1.3× 193 0.8× 237 1.1× 54 1.8k
R. Karthik India 21 421 0.9× 312 1.1× 295 1.0× 477 2.0× 96 0.5× 95 1.6k
Marriam Nawaz Pakistan 23 547 1.2× 325 1.1× 661 2.3× 385 1.6× 197 0.9× 49 1.8k
Jamal Hussain Shah Pakistan 26 558 1.2× 347 1.2× 782 2.7× 599 2.5× 140 0.7× 75 2.2k
Agnieszka Mikołajczyk Poland 11 493 1.1× 249 0.8× 497 1.7× 110 0.5× 136 0.6× 19 1.6k
Taye Girma Debelee Ethiopia 17 417 0.9× 268 0.9× 241 0.8× 64 0.3× 62 0.3× 34 963
Shagun Sharma India 16 281 0.6× 250 0.9× 121 0.4× 314 1.3× 53 0.3× 121 1.2k
T R Mahesh India 21 529 1.2× 309 1.1× 235 0.8× 115 0.5× 40 0.2× 163 1.4k
Kalpna Guleria India 20 426 0.9× 318 1.1× 170 0.6× 386 1.6× 56 0.3× 156 1.9k
Hela Elmannai Saudi Arabia 22 546 1.2× 190 0.6× 266 0.9× 111 0.5× 46 0.2× 104 1.6k

Countries citing papers authored by Vatsala Anand

Since Specialization
Citations

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

Fields of papers citing papers by Vatsala Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vatsala Anand

This figure shows the co-authorship network connecting the top 25 collaborators of Vatsala Anand. A scholar is included among the top collaborators of Vatsala Anand 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 Vatsala Anand. Vatsala Anand 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.
Anand, Vatsala, Sheifali Gupta, Ahmad Almogren, et al.. (2025). Enhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21. e15734056353246–e15734056353246. 1 indexed citations
2.
Anand, Vatsala, Mohammed Shuaib, Irfanullah Khan, Mehran Ullah, & Shadab Alam. (2025). Secure pulmonary diagnosis using transformer-based approach to X-ray classification with KL divergence optimization. Frontiers in Medicine. 12. 1716066–1716066.
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Anand, Vatsala, et al.. (2024). Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology. BMC Medical Imaging. 24(1). 83–83. 6 indexed citations
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Anand, Vatsala, et al.. (2024). Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework. Frontiers in Artificial Intelligence. 7. 1396160–1396160. 12 indexed citations
7.
Anand, Vatsala, Sheifali Gupta, Deepali Gupta, et al.. (2023). Weighted Average Ensemble Deep Learning Model for Stratification of Brain Tumor in MRI Images. Diagnostics. 13(7). 1320–1320. 73 indexed citations
8.
Anand, Vatsala, et al.. (2023). An Intelligent VGG-16 Framework for Brain Tumor Detection Using MRI-Scans. 1–6. 5 indexed citations
9.
Sulaiman, Adel, Vatsala Anand, Sheifali Gupta, et al.. (2023). Sustainable Apple Disease Management Using an Intelligent Fine-Tuned Transfer Learning-Based Model. Sustainability. 15(17). 13228–13228. 8 indexed citations
10.
Anand, Vatsala, et al.. (2023). Automatic Classification of Alzheimer's Using Brain MRI Data and the ResNet152V2 Architecture. 22. 1–6. 1 indexed citations
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Anand, Vatsala, et al.. (2023). Exploring CNNs for Blood Subtype Recognition: Binary and Multi-Class Image Classification. 1–6. 1 indexed citations
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Gill, Kanwarpartap Singh, Vatsala Anand, & Rupesh Gupta. (2023). Categorization of Chocolates Using Robust Sequential Model on RMS Prop Optimizer. 43. 1–4. 7 indexed citations
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Gill, Kanwarpartap Singh, Vatsala Anand, Rupesh Gupta, & Sheifali Gupta. (2023). Face Mask Detection Using ResNet50 Model and fine tuning it on various hyperactive parameters. 7. 1–4. 2 indexed citations
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Anand, Vatsala, Sheifali Gupta, Deepika Koundal, et al.. (2022). Modified U-NET Architecture for Segmentation of Skin Lesion. Sensors. 22(3). 867–867. 112 indexed citations
20.
Anand, Vatsala, et al.. (2022). An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study. Multimedia Tools and Applications. 81(26). 37379–37401. 44 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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