Vidya Ganapati

606 total citations
23 papers, 428 citations indexed

About

Vidya Ganapati is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Vidya Ganapati has authored 23 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Vidya Ganapati's work include solar cell performance optimization (9 papers), Silicon and Solar Cell Technologies (6 papers) and Advanced X-ray Imaging Techniques (5 papers). Vidya Ganapati is often cited by papers focused on solar cell performance optimization (9 papers), Silicon and Solar Cell Technologies (6 papers) and Advanced X-ray Imaging Techniques (5 papers). Vidya Ganapati collaborates with scholars based in United States and Germany. Vidya Ganapati's co-authors include Eli Yablonovitch, Myles A. Steiner, Owen D. Miller, Gregg Scranton, J. F. Holzrichter, Zunaid Omair, Luis Pazos, T. Patrick Xiao, Per F. Peterson and Harry A. Atwater and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Vidya Ganapati

21 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vidya Ganapati United States	8	246	174	154	87	75	23	428
Emil Kadlec United States	11	394 1.6×	147 0.8×	316 2.1×	173 2.0×	53 0.7×	26	659
Burton Neuner United States	11	216 0.9×	394 2.3×	309 2.0×	442 5.1×	24 0.3×	37	939
Byron G. Zollars United States	7	270 1.1×	276 1.6×	327 2.1×	383 4.4×	20 0.3×	16	873
B. Wernsman United States	9	245 1.0×	178 1.0×	135 0.9×	24 0.3×	104 1.4×	37	354
Chunqi Jin China	9	228 0.9×	110 0.6×	143 0.9×	140 1.6×	5 0.1×	17	619
Veronika Stelmakh United States	11	230 0.9×	307 1.8×	286 1.9×	104 1.2×	91 1.2×	27	574
Makoto Yamaguchi Japan	16	406 1.7×	72 0.4×	575 3.7×	110 1.3×	41 0.5×	47	801
Daisuke Satoh Japan	9	105 0.4×	55 0.3×	48 0.3×	48 0.6×	30 0.4×	35	311
S. Bansropun France	12	349 1.4×	154 0.9×	346 2.2×	112 1.3×	33 0.4×	52	644
Dejie Li China	8	308 1.3×	62 0.4×	223 1.4×	107 1.2×	10 0.1×	19	539

Countries citing papers authored by Vidya Ganapati

Since Specialization

Citations

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

Fields of papers citing papers by Vidya Ganapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidya Ganapati

This figure shows the co-authorship network connecting the top 25 collaborators of Vidya Ganapati. A scholar is included among the top collaborators of Vidya Ganapati 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 Vidya Ganapati. Vidya Ganapati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ganapati, Vidya, et al.. (2025). Hyperparameter Optimization for Deep Reinforcement Learning: An Atari Breakout Case Study. Journal of Student Research. 14(1).

Ganapati, Vidya, et al.. (2022). Evaluating Research Grade Bioimpedance Hardware Using Textile Electrodes for Long-Term Fluid Status Monitoring. SHILAP Revista de lepidopterología. 2. 5 indexed citations

Funke, Jan, et al.. (2022). Physics-Informed Variational Autoencoder for Undersampled Fourier Ptychography. CF1D.8–CF1D.8.

Cheng, Yi Fei, et al.. (2019). Illumination pattern design with deep learning for single-shot Fourier ptychographic microscopy. Optics Express. 27(2). 644–644. 49 indexed citations

Omair, Zunaid, Gregg Scranton, Luis Pazos, et al.. (2019). Ultraefficient thermophotovoltaic power conversion by band-edge spectral filtering. Proceedings of the National Academy of Sciences. 116(31). 15356–15361. 167 indexed citations

Xiao, T. Patrick, Gregg Scranton, Vidya Ganapati, et al.. (2016). Enhancing the Efficiency of Thermophotovoltaics with Photon Recycling. Conference on Lasers and Electro-Optics. 23. ATu1K.2–ATu1K.2. 1 indexed citations

Scranton, Gregg, T. Patrick Xiao, Vidya Ganapati, et al.. (2016). Highly efficient thermophotovoltaics enabled by photon re-use. 1026–1029. 3 indexed citations

Ganapati, Vidya, Myles A. Steiner, & Eli Yablonovitch. (2016). The Voltage Boost Enabled by Luminescence Extraction in Solar Cells. IEEE Journal of Photovoltaics. 6(4). 801–809. 30 indexed citations

Ganapati, Vidya, Myles A. Steiner, & Eli Yablonovitch. (2016). The voltage boost enabled by luminescence extraction in solar cells. 3499–3501. 1 indexed citations

10.

Ganapati, Vidya, Chi-Sing Ho, & Eli Yablonovitch. (2014). Air Gaps as Intermediate Selective Reflectors to Reach Theoretical Efficiency Limits of Multibandgap Solar Cells. IEEE Journal of Photovoltaics. 5(1). 410–417. 14 indexed citations

11.

Ganapati, Vidya, Laura Waller, & Eli Yablonovitch. (2014). Adjoint Method for Phase Retrieval. CW4C.2–CW4C.2. 1 indexed citations

12.

Scranton, Gregg, Samarth Bhargava, Vidya Ganapati, & Eli Yablonovitch. (2014). Single spherical mirror optic for extreme ultraviolet lithography enabled by inverse lithography technology. Optics Express. 22(21). 25027–25027. 3 indexed citations

13.

Bhargava, Samarth, et al.. (2014). Shape Optimization of Nanophotonic Devices Using the Adjoint Method. STu2M.6–STu2M.6. 1 indexed citations

14.

Ganapati, Vidya, Owen D. Miller, & Eli Yablonovitch. (2013). Light Trapping Textures Designed by Electromagnetic Optimization for Subwavelength Thick Solar Cells. IEEE Journal of Photovoltaics. 4(1). 175–182. 64 indexed citations

15.

Bhargava, Samarth, Owen D. Miller, Vidya Ganapati, & Eli Yablonovitch. (2013). Inverse Design of Optical Antennas for Sub-Wavelength Energy Delivery. CM2F.2–CM2F.2. 3 indexed citations

16.

Ganapati, Vidya, Owen D. Miller, & Eli Yablonovitch. (2012). Spontaneous symmetry breaking in the optimization of subwavelength solar cell textures for light trapping. 19. 1572–1576. 6 indexed citations

17.

Miller, Owen D., Vidya Ganapati, & Eli Yablonovitch. (2012). Inverse Design of a Nano-Scale Surface Texture for Light Trapping. 72. CF2J.2–CF2J.2. 7 indexed citations

18.

Ganapati, Vidya, David P. Fenning, Mariana I. Bertoni, et al.. (2011). Seeding of Silicon Wire Growth by Out‐Diffused Metal Precipitates. Small. 7(5). 563–567. 2 indexed citations

19.

Ganapati, Vidya, Stephan Schoenfelder, Sergio Castellanos, Sebastian Z. Oener, & Tonio Buonassisi. (2010). Infrared birefringence imaging of residual stress and bulk defects in multicrystalline silicon. eScholarship (California Digital Library). 76. 1289–1290. 2 indexed citations

20.

Ganapati, Vidya, Stephan Schoenfelder, Sergio Castellanos, et al.. (2010). Infrared birefringence imaging of residual stress and bulk defects in multicrystalline silicon. Journal of Applied Physics. 108(6). 49 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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