Vatsala Anand

215 total papers · 2.5k total citations
164 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 164 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 36 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vatsala Anand's work include AI in cancer detection (35 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 (35 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

133 papers receiving 1.5k citations

Hit Papers

Fusion of U-Net and CNN m... 2022 2026 2023 2024 2022 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vatsala Anand 442 286 283 229 202 164 1.5k
Parvathaneni Naga Srinivasu 657 1.5× 267 0.9× 379 1.3× 135 0.6× 217 1.1× 56 1.7k
Syed Ahmad Chan Bukhari 598 1.4× 303 1.1× 381 1.3× 192 0.8× 234 1.2× 54 1.8k
Muhammad Younus Javed 531 1.2× 203 0.7× 575 2.0× 390 1.7× 191 0.9× 101 1.8k
R. Karthik 404 0.9× 308 1.1× 291 1.0× 463 2.0× 93 0.5× 95 1.5k
Sameem Abdul Kareem 614 1.4× 263 0.9× 496 1.8× 201 0.9× 77 0.4× 104 1.7k
Tahira Nazir 445 1.0× 460 1.6× 478 1.7× 212 0.9× 194 1.0× 53 1.5k
Saurav Mallik 437 1.0× 249 0.9× 193 0.7× 54 0.2× 93 0.5× 184 2.1k
Jamal Hussain Shah 543 1.2× 337 1.2× 766 2.7× 584 2.6× 129 0.6× 75 2.1k
Marriam Nawaz 536 1.2× 313 1.1× 647 2.3× 364 1.6× 192 1.0× 49 1.7k
Yonis Gulzar 332 0.8× 105 0.4× 270 1.0× 695 3.0× 103 0.5× 106 1.8k

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

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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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