Shruti Agarwal

2.6k citations
88 papers · 1.7k · h-index 24

Impact in

Papers in

Shruti Agarwal

84 papers receiving 1.7k citations

Peers

Shruti Agarwal
Comparison fields: 5 of 132
  • Radiology, Nuclear Medicine and Imaging 494
  • Computer Vision and Pattern Recognition 482
  • Cognitive Neuroscience 390
  • Modeling and Simulation 30
  • Neurology 89
Replace Evangelia I. Zacharaki with:
Evangelia I. Zacharaki Greece
Marco Lorenzi France
Kongming Wang United States
D. Graf Keyserlingk Germany
Vangelis Sakkalis Greece
Olivier Commowick France
Erlend Hodneland Norway
Brad Davis United States
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Citations per field
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Citations per year

Countries citing papers authored by Shruti Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shruti Agarwal, 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 Shruti Agarwal Line = papers co-authored together Shruti Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protecting World Leaders Against Deep Fakes
2019177
2 2020119
3 201593
4 201581
5 201774
6 201063
7 201559
8 202142
9 201040
10 200937
11 201735
12 200633
13 202333
14 201631
15 201531
16 201329
17 201928
18 201827
19 201726
20 201926

About Shruti Agarwal

Shruti Agarwal is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Molecular Biology and Control and Systems Engineering, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (22 papers), Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Digital Media Forensic Detection (12 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Steganography and Watermarking Techniques (7 papers), MRI in cancer diagnosis (5 papers) and Stability and Controllability of Differential Equations (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (494 citations), Computer Vision and Pattern Recognition (482 citations), Cognitive Neuroscience (390 citations), Modeling and Simulation (30 citations) and Neurology (89 citations). Shruti Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Hany Farid, Jay J. Pillai, Haris I. Sair, Sachin K. Gujar, Hao Li, Yuming Gu, Koki Nagano, Mingming He, Maneesh Agrawala and Ohad Fried. Their work appears in journals such as Brain Connectivity, Neuroimaging Clinics of North America, Journal of Magnetic Resonance Imaging, American Journal of Neuroradiology and Pediatric Research.

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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