Anu Agarwal

10.3k total citations · 4 hit papers
257 papers, 7.6k citations indexed

About

Anu Agarwal is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Anu Agarwal has authored 257 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Electrical and Electronic Engineering, 104 papers in Atomic and Molecular Physics, and Optics and 67 papers in Materials Chemistry. Recurrent topics in Anu Agarwal's work include Photonic and Optical Devices (142 papers), Advanced Fiber Laser Technologies (45 papers) and Semiconductor Lasers and Optical Devices (42 papers). Anu Agarwal is often cited by papers focused on Photonic and Optical Devices (142 papers), Advanced Fiber Laser Technologies (45 papers) and Semiconductor Lasers and Optical Devices (42 papers). Anu Agarwal collaborates with scholars based in United States, India and Singapore. Anu Agarwal's co-authors include Lionel C. Kimerling, Juejun Hu, Prem M. S. Chauhan, Kathleen Richardson, Tian Gu, Jürgen Michel, Kumkum Srivastava, S.K. Puri, Vivek Singh and Nathan Carlie and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Anu Agarwal

241 papers receiving 7.1k citations

Hit Papers

Controlling propagation and coupling of waveguide modes u... 2017 2026 2020 2023 2017 2017 2021 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anu Agarwal United States 46 5.0k 3.1k 1.5k 1.3k 1.3k 257 7.6k
Yang Chen China 37 1.9k 0.4× 2.5k 0.8× 750 0.5× 1.7k 1.3× 2.2k 1.8× 228 5.5k
Jennifer A. Dionne United States 55 3.6k 0.7× 3.6k 1.1× 3.0k 2.1× 6.2k 4.8× 4.8k 3.8× 147 11.1k
S. Kaiser Germany 39 3.6k 0.7× 2.7k 0.9× 1.0k 0.7× 1.3k 1.0× 2.5k 2.0× 147 7.9k
W. Freude Germany 53 12.9k 2.6× 8.2k 2.6× 760 0.5× 2.7k 2.0× 1.2k 0.9× 443 14.7k
Jungho Mun South Korea 30 871 0.2× 1.1k 0.4× 1.1k 0.7× 1.5k 1.2× 2.3k 1.8× 66 4.0k
Valerio Pruneri Spain 49 4.8k 1.0× 3.8k 1.2× 1.7k 1.2× 2.0k 1.5× 869 0.7× 238 8.4k
Qing Gu United States 28 2.3k 0.5× 1.2k 0.4× 1.4k 1.0× 949 0.7× 666 0.5× 126 4.3k
Boubacar Kanté United States 30 1.4k 0.3× 2.5k 0.8× 341 0.2× 1.8k 1.4× 2.0k 1.6× 92 5.1k
Hatice Altug Switzerland 54 4.2k 0.8× 3.7k 1.2× 845 0.6× 8.4k 6.4× 6.3k 5.0× 137 12.0k
Juan Carlos Cuevas Spain 56 5.3k 1.1× 7.0k 2.2× 2.5k 1.7× 1.6k 1.2× 1.3k 1.0× 192 11.0k

Countries citing papers authored by Anu Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Anu Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anu Agarwal. A scholar is included among the top collaborators of Anu 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 Anu Agarwal. Anu 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.
Kang, Myungkoo, Rashi Sharma, Yifei Zhang, et al.. (2024). Solution-derived Ge–Sb–Se–Te phase-change chalcogenide films. Scientific Reports. 14(1). 18151–18151. 2 indexed citations
2.
Ranno, Luigi, Cosmin‐Constantin Popescu, Samuel Serna, et al.. (2024). Highly efficient fiber to Si waveguide free-form coupler for foundry-scale silicon photonics. Photonics Research. 12(5). 1055–1055. 7 indexed citations
3.
Serna, Samuel, et al.. (2023). High density vertical optical interconnects for passive assembly. 11692. 15–15. 1 indexed citations
4.
Su, Peter, Mikhail Y. Shalaginov, Tian Gu, et al.. (2021). Large-area optical metasurface fabrication using nanostencil lithography. Optics Letters. 46(10). 2324–2324. 9 indexed citations
5.
Shalaginov, Mikhail Y., Sensong An, Yifei Zhang, et al.. (2021). Reconfigurable all-dielectric metalens with diffraction-limited performance. Nature Communications. 12(1). 1225–1225. 297 indexed citations breakdown →
6.
An, Sensong, Bowen Zheng, Mikhail Y. Shalaginov, et al.. (2021). Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces. Advanced Optical Materials. 10(3). 68 indexed citations
7.
An, Sensong, Bowen Zheng, Mikhail Y. Shalaginov, et al.. (2020). Deep learning modeling approach for metasurfaces with high degrees of freedom. Optics Express. 28(21). 31932–31932. 108 indexed citations
8.
Shalaginov, Mikhail Y., Sensong An, Fan Yang, et al.. (2020). Single-Element Diffraction-Limited Fisheye Metalens. Nano Letters. 20(10). 7429–7437. 170 indexed citations
9.
An, Sensong, Clayton Fowler, Bowen Zheng, et al.. (2020). All-dielectric Metasurface Designs Enabled by Deep Neural Networks. Conference on Lasers and Electro-Optics. FW4B.8–FW4B.8. 3 indexed citations
10.
An, Sensong, Clayton Fowler, Bowen Zheng, et al.. (2019). A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design. ACS Photonics. 6(12). 3196–3207. 283 indexed citations breakdown →
11.
An, Sensong, Clayton Fowler, Mikhail Y. Shalaginov, et al.. (2019). Modeling of All-Dielectric Metasurfaces Using Deep Neural Networks. 3 indexed citations
12.
Du, Qingyang, Jérôme Michon, Derek Kita, et al.. (2019). Real-time, in situ probing of gamma radiation damage with packaged integrated photonic chips. Photonics Research. 8(2). 186–186. 22 indexed citations
13.
Pastor, David, Hemi H. Gandhi, Austin J. Akey, et al.. (2018). High level active n+ doping of strained germanium through co-implantation and nanosecond pulsed laser melting. Journal of Applied Physics. 123(16). 12 indexed citations
14.
Crowe, Iain F., R. Gwilliam, Christopher Heidelberger, et al.. (2017). Improved retention of phosphorus donors in germanium using a non-amorphizing fluorine co-implantation technique. Journal of Applied Physics. 123(16). 7 indexed citations
15.
Ooi, Kelvin J. A., Doris K. T. Ng, A. K. L. Chee, et al.. (2017). Pushing the limits of CMOS optical parametric amplifiers with USRN:Si7N3 above the two-photon absorption edge. Nature. 10 indexed citations
16.
Jacobson, Herbert I., et al.. (2009). A Proposed Unified Mechanism for the Reduction of Human Breast Cancer Risk by the Hormones of Pregnancy. Cancer Prevention Research. 3(2). 212–220. 9 indexed citations
17.
Agarwal, Anu & Ranga Vemuri. (2005). Hierarchical performance macromodels of feasible regions for synthesis of analog and RF circuits. International Conference on Computer Aided Design. 430–436. 8 indexed citations
18.
Agarwal, Anu, et al.. (2004). Fast and accurate parasitic capacitance models for layout-aware synthesis of analog circuits. Design Automation Conference. 145–150. 24 indexed citations
19.
Agarwal, Anu, et al.. (2004). Accurate estimation of parasitic capacitances in analog circuits. Design, Automation, and Test in Europe. 2. 21364. 10 indexed citations
20.
Agarwal, Anu, et al.. (2004). Fast, layout-inclusive analog circuit synthesis using pre-compiled parasitic-aware symbolic performance models. Design, Automation, and Test in Europe. 1. 10604. 27 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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