Omid Hemmatyar

1.0k total citations · 1 hit paper
18 papers, 693 citations indexed

About

Omid Hemmatyar is a scholar working on Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Omid Hemmatyar has authored 18 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electronic, Optical and Magnetic Materials, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Omid Hemmatyar's work include Metamaterials and Metasurfaces Applications (12 papers), Photonic and Optical Devices (7 papers) and Photonic Crystals and Applications (6 papers). Omid Hemmatyar is often cited by papers focused on Metamaterials and Metasurfaces Applications (12 papers), Photonic and Optical Devices (7 papers) and Photonic Crystals and Applications (6 papers). Omid Hemmatyar collaborates with scholars based in United States, Poland and Iran. Omid Hemmatyar's co-authors include Sajjad Abdollahramezani, Ali Adibi, Yashar Kiarashi, Mohammadreza Zandehshahvar, Mostafa A. El‐Sayed, Wenshan Cai, Eric Pop, Ali A. Eftekhar, Sanchit Deshmukh and Mohammad Taghinejad and has published in prestigious journals such as Nature Communications, Nano Letters and Nanoscale.

In The Last Decade

Omid Hemmatyar

15 papers receiving 657 citations

Hit Papers

Electrically driven reprogrammable phase-change metasurfa... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omid Hemmatyar United States 8 375 312 249 191 150 18 693
Andrea Cordaro Netherlands 11 504 1.3× 418 1.3× 394 1.6× 300 1.6× 201 1.3× 20 923
Hoyeong Kwon United States 9 439 1.2× 292 0.9× 316 1.3× 260 1.4× 181 1.2× 14 732
Carlo Gigli France 14 226 0.6× 214 0.7× 222 0.9× 239 1.3× 80 0.5× 20 492
Pavel M. Voroshilov Russia 13 352 0.9× 258 0.8× 316 1.3× 303 1.6× 140 0.9× 25 684
Zhongwei Jin China 11 342 0.9× 267 0.9× 337 1.4× 249 1.3× 153 1.0× 21 670
Yixuan Zeng China 13 553 1.5× 240 0.8× 425 1.7× 326 1.7× 262 1.7× 21 841
Dong‐Xiang Qi China 11 241 0.6× 213 0.7× 207 0.8× 198 1.0× 77 0.5× 35 487
Xingsi Liu Singapore 11 407 1.1× 277 0.9× 253 1.0× 195 1.0× 211 1.4× 14 770
Logan Su United States 12 431 1.1× 659 2.1× 497 2.0× 336 1.8× 176 1.2× 24 1.1k

Countries citing papers authored by Omid Hemmatyar

Since Specialization
Citations

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

Fields of papers citing papers by Omid Hemmatyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Hemmatyar

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

All Works

18 of 18 papers shown
1.
Liu, Yuzhou G. N., Yunxuan Wei, Omid Hemmatyar, et al.. (2022). Complex skin modes in non-Hermitian coupled laser arrays. Light Science & Applications. 11(1). 336–336. 55 indexed citations
2.
Abdollahramezani, Sajjad, Omid Hemmatyar, Mohammad Taghinejad, et al.. (2022). Electrically driven reprogrammable phase-change metasurface reaching 80% efficiency. Nature Communications. 13(1). 1696–1696. 229 indexed citations breakdown →
3.
Liu, Yuzhou G. N., Omid Hemmatyar, Absar U. Hassan, et al.. (2021). Engineering interaction dynamics in active resonant photonic structures. APL Photonics. 6(5). 11 indexed citations
4.
Abdollahramezani, Sajjad, et al.. (2021). Tunable third-harmonic generation using low-loss phase change chalcogenides. 63–63. 2 indexed citations
5.
Abdollahramezani, Sajjad, Omid Hemmatyar, Mohammad Taghinejad, et al.. (2021). Dynamic Hybrid Metasurfaces. Nano Letters. 21(3). 1238–1245. 108 indexed citations
6.
Taghinejad, Hossein, Sajjad Abdollahramezani, Ali A. Eftekhar, et al.. (2020). ITO-Based $\mu$-Heaters for Multi-Stage Switching of Phase-Change Materials: Towards Beyond-Binary Reconfigurable Integrated Photonics. arXiv (Cornell University).
7.
Zandehshahvar, Mohammadreza, et al.. (2020). Cracking the Design Complexity of Nanostructures Using Geometric Deep Learning. Conference on Lasers and Electro-Optics. SF1R.4–SF1R.4. 1 indexed citations
8.
Hemmatyar, Omid, Zhou Lu, Tyler Brown, Hossein Maleki, & Ali Adibi. (2020). Fano Resonant All-dielectric Metasurfaces for Polarization-sensitive Structural Coloration. Conference on Lasers and Electro-Optics. SF2R.6–SF2R.6.
9.
Kiarashi, Yashar, et al.. (2020). Geometric Deep Learning Unlocks the Underlying Physics of Nanostructures. Conference on Lasers and Electro-Optics. JTh2A.15–JTh2A.15. 2 indexed citations
10.
Chen, Michael, Mohammadreza Zandehshahvar, Yashar Kiarashi, et al.. (2020). Inverse Design of Nanophotonic Structures Using a Hybrid Dimensionality Reduction Technique. Frontiers in Optics / Laser Science. FM2A.1–FM2A.1. 2 indexed citations
11.
Abdollahramezani, Sajjad, et al.. (2020). Linear and Nonlinear Focusing Using Reconfigurable All-Dielectric Metalens Based on Phase-Change Materials. Frontiers in Optics / Laser Science. JW6B.6–JW6B.6. 3 indexed citations
12.
Hemmatyar, Omid, Tyler Brown, & Ali Adibi. (2020). Tunable Ultrahigh-saturation Structural Colors From Toroidal Resonances by Phase-change Material Sb2S3 Metasurfaces. Conference on Lasers and Electro-Optics. JW2D.33–JW2D.33.
13.
Hemmatyar, Omid, Sajjad Abdollahramezani, Yashar Kiarashi, Mohammadreza Zandehshahvar, & Ali Adibi. (2019). Structural Colors by Fano-resonances Supported in All-dielectric Metasurfaces Made of HfO2. FM5C.4–FM5C.4. 2 indexed citations
14.
Hemmatyar, Omid, Sajjad Abdollahramezani, Yashar Kiarashi, Mohammadreza Zandehshahvar, & Ali Adibi. (2019). Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach. Nanoscale. 11(44). 21266–21274. 80 indexed citations
15.
Zandehshahvar, Mohammadreza, Omid Hemmatyar, Yashar Kiarashi, Sajjad Abdollahramezani, & Ali Adibi. (2019). Dimensionality Reduction Based Method for Design and Optimization of Optical Nanostructures Using Neural Network. FM5C.2–FM5C.2. 1 indexed citations
16.
Kiarashi, Yashar, Sajjad Abdollahramezani, Mohammadreza Zandehshahvar, Omid Hemmatyar, & Ali Adibi. (2019). Deep Learning Reveals Underlying Physics of Light–Matter Interactions in Nanophotonic Devices. Advanced Theory and Simulations. 2(9). 69 indexed citations
17.
Abdollahramezani, Sajjad, Omid Hemmatyar, & Ali Adibi. (2018). Meta‐optics for spatial optical analog computing. Nanophotonics. 9(13). 4075–4095. 112 indexed citations
18.
Hemmatyar, Omid, et al.. (2017). Phase Resonance Tuning and Multi-Band Absorption Via Graphene-Covered Compound Metallic Gratings. IEEE Journal of Quantum Electronics. 53(5). 1–10. 16 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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