Anurag Agarwal

1.9k total citations
84 papers, 1.3k citations indexed

About

Anurag Agarwal is a scholar working on Aerospace Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Anurag Agarwal has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Aerospace Engineering, 45 papers in Computational Mechanics and 43 papers in Biomedical Engineering. Recurrent topics in Anurag Agarwal's work include Aerodynamics and Acoustics in Jet Flows (53 papers), Acoustic Wave Phenomena Research (41 papers) and Fluid Dynamics and Turbulent Flows (27 papers). Anurag Agarwal is often cited by papers focused on Aerodynamics and Acoustics in Jet Flows (53 papers), Acoustic Wave Phenomena Research (41 papers) and Fluid Dynamics and Turbulent Flows (27 papers). Anurag Agarwal collaborates with scholars based in United Kingdom, United States and Brazil. Anurag Agarwal's co-authors include André V. G. Cavalieri, Peter Jordan, Philip J. Morris, Samuel Sinayoko, Ann P. Dowling, Yves Gervais, Aaron Towne, Michael J. Kingan, Tim Colonius and Zhiwei Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Anurag Agarwal

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag Agarwal United Kingdom 22 864 677 451 251 111 84 1.3k
Christopher J. Elkins United States 24 736 0.9× 1.0k 1.5× 175 0.4× 231 0.9× 280 2.5× 122 1.9k
Bok Jik Lee South Korea 26 722 0.8× 1.4k 2.0× 160 0.4× 55 0.2× 24 0.2× 108 2.2k
Luca Marino Italy 14 253 0.3× 426 0.6× 251 0.6× 43 0.2× 13 0.1× 71 952
Matthew R. Myers United States 22 156 0.2× 225 0.3× 778 1.7× 71 0.3× 183 1.6× 99 1.5k
Jung-Hee Seo United States 21 569 0.7× 1.0k 1.5× 286 0.6× 140 0.6× 88 0.8× 73 1.8k
Wontae Hwang South Korea 18 294 0.3× 988 1.5× 259 0.6× 59 0.2× 21 0.2× 57 1.4k
Mark Jermy New Zealand 20 185 0.2× 429 0.6× 315 0.7× 53 0.2× 311 2.8× 114 1.4k
Rainer Hain Germany 19 470 0.5× 953 1.4× 154 0.3× 248 1.0× 149 1.3× 48 1.4k
Simon Mendez France 23 467 0.5× 701 1.0× 328 0.7× 156 0.6× 622 5.6× 65 1.7k
Maurizio Quadrio Italy 24 505 0.6× 1.8k 2.6× 125 0.3× 428 1.7× 60 0.5× 83 2.1k

Countries citing papers authored by Anurag Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Agarwal. A scholar is included among the top collaborators of Anurag Agarwal 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 Anurag Agarwal. Anurag Agarwal 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.
McDonald, Andrew, et al.. (2025). A Flexible Multi-Sensor Device Enabling Handheld Sensing of Heart Sounds by Untrained Users. IEEE Journal of Biomedical and Health Informatics. 29(8). 5575–5584. 2 indexed citations
2.
McDonald, Andrew, Mark Gales, & Anurag Agarwal. (2024). A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. SHILAP Revista de lepidopterología. 3(11). e0000436–e0000436. 2 indexed citations
3.
Towne, Aaron, et al.. (2023). An empirical model of noise sources in subsonic jets. Journal of Fluid Mechanics. 965. 10 indexed citations
4.
Xue, Qian, et al.. (2022). Aerodynamics and motor control of ultrasonic vocalizations for social communication in mice and rats. BMC Biology. 20(1). 3–3. 31 indexed citations
5.
Agarwal, Anurag, et al.. (2021). The prevalence of stress, stressors and coping mechanisms and the socio-demographic factors associated among the auto-rickshaw drivers in Bengaluru city, India. SHILAP Revista de lepidopterología. 10(7). 2546–2551. 2 indexed citations
6.
Thoenes, Martin, Anurag Agarwal, David Grundmann, et al.. (2021). Narrative review of the role of artificial intelligence to improve aortic valve disease management. Journal of Thoracic Disease. 13(1). 396–404. 22 indexed citations
7.
Agarwal, Anurag, et al.. (2018). The Sound Produced by a Dripping Tap is Driven by Resonant Oscillations of an Entrapped Air Bubble. Scientific Reports. 8(1). 9515–9515. 22 indexed citations
8.
Agarwal, Anurag, et al.. (2017). Using geometric algebra to represent curvature in shell theory with applications to Starling resistors. Royal Society Open Science. 4(11). 171212–171212. 1 indexed citations
9.
Agarwal, Anurag, et al.. (2017). DropConnected neural networks trained on time-frequency and inter-beat features for classifying heart sounds. Physiological Measurement. 38(8). 1645–1657. 65 indexed citations
10.
Agarwal, Anurag, et al.. (2016). DropConnected Neural Network Trained with Diverse Features for Classifying Heart Sounds. Computing in cardiology. 43. 22 indexed citations
11.
Agarwal, Anurag, et al.. (2016). The aeroacoustics of a subsonic rectangular jet. 2 indexed citations
12.
Sinayoko, Samuel & Anurag Agarwal. (2014). On computing the physical sources of jet noise. Figshare.
13.
Sinayoko, Samuel, Michael J. Kingan, & Anurag Agarwal. (2014). On the effect of acceleration on trailing edge noise radiation from rotating blades. Figshare. 2 indexed citations
14.
Sinayoko, Samuel, Anurag Agarwal, & Richard D. Sandberg. (2014). Physical sources of sound in laminar and turbulent jets. Figshare.
15.
Kierkegaard, Amelie, Gunilla Efraimsson, & Anurag Agarwal. (2013). Simulations of a liner cell using a frequency-domain linearized Navier-Stokes methodology. 2 indexed citations
16.
Agarwal, Anurag, et al.. (2009). Non-linear noise prediction model for low mach number jets. ePrints Soton (University of Southampton). 1 indexed citations
17.
Astley, R.J., et al.. (2007). Predicting and reducing aircraft noise. ePrints Soton (University of Southampton). 18 indexed citations
18.
Carpenter, Matthew T., et al.. (2004). Inhalation delivery of hemagglutinin epitope-tagged manganese superoxide dismutase-plasmid/liposome (HA-MnSOD-PL) complexes to the lung protects against fractionated irradiation lung damage. International Journal of Radiation Oncology*Biology*Physics. 60(1). S172–S172. 6 indexed citations
19.
Carpenter, Margaret A., et al.. (2004). Inhalation delivery of hemagglutinin epitope-tagged manganese superoxide dismutase-plasmid/liposome (HA-MnSOD-PL) complexes to the lung protects against fractionated irradiation lung damage. International Journal of Radiation Oncology*Biology*Physics. 60. S172–S172. 1 indexed citations
20.
Agarwal, Anurag. (2003). The prediction of tonal and broadband slat noise. PhDT. 9 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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