Erfan Khoram

1.5k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Erfan Khoram is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Erfan Khoram has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Erfan Khoram's work include Photonic and Optical Devices (7 papers), Neural Networks and Reservoir Computing (7 papers) and Metamaterials and Metasurfaces Applications (5 papers). Erfan Khoram is often cited by papers focused on Photonic and Optical Devices (7 papers), Neural Networks and Reservoir Computing (7 papers) and Metamaterials and Metasurfaces Applications (5 papers). Erfan Khoram collaborates with scholars based in United States and China. Erfan Khoram's co-authors include Zongfu Yu, Dianjing Liu, Yixuan Tan, Ming Zhou, Ming Yuan, Zhicheng Wu, Ang Chen, Lei Ying, Qiqi Wang and Boyuan Liu and has published in prestigious journals such as Optics Express, ACS Photonics and ACS Omega.

In The Last Decade

Erfan Khoram

12 papers receiving 1.0k citations

Hit Papers

Training Deep Neural Netw... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erfan Khoram United States 8 581 399 324 311 265 13 1.1k
Dianjing Liu United States 7 573 1.0× 467 1.2× 366 1.1× 277 0.9× 301 1.1× 12 1.2k
Yixuan Tan United States 8 420 0.7× 336 0.8× 297 0.9× 159 0.5× 264 1.0× 23 973
Dayu Zhu United States 10 458 0.8× 545 1.4× 491 1.5× 232 0.7× 369 1.4× 16 1.3k
John Peurifoy United States 5 323 0.6× 276 0.7× 241 0.7× 184 0.6× 214 0.8× 5 755
Yihao Xu United States 15 456 0.8× 800 2.0× 476 1.5× 181 0.6× 434 1.6× 39 1.4k
Itzik Malkiel Israel 9 254 0.4× 280 0.7× 174 0.5× 161 0.5× 224 0.8× 18 748
Clayton Fowler United States 11 464 0.8× 788 2.0× 244 0.8× 108 0.3× 271 1.0× 30 1.1k
Sajjad Abdollahramezani United States 15 749 1.3× 684 1.7× 291 0.9× 151 0.5× 397 1.5× 37 1.4k
Raphaël Pestourie United States 9 256 0.4× 457 1.1× 243 0.8× 88 0.3× 185 0.7× 16 803

Countries citing papers authored by Erfan Khoram

Since Specialization
Citations

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

Fields of papers citing papers by Erfan Khoram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erfan Khoram

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

All Works

13 of 13 papers shown
1.
Khoram, Erfan, Zongfu Yu, & S. Ali Hassani Gangaraj. (2024). Adjoint-Optimized Large Dielectric Metasurface for Enhanced Purcell Factor and Directional Photon Emission. ACS Omega. 9(23). 24356–24361. 1 indexed citations
2.
Khoram, Erfan, Zhicheng Wu, Yurui Qu, Ming Zhou, & Zongfu Yu. (2022). Graph Neural Networks for Metasurface Modeling. ACS Photonics. 13 indexed citations
3.
Qu, Yurui, Ming Zhou, Erfan Khoram, Nanfang Yu, & Zongfu Yu. (2022). Resonance for Analog Recurrent Neural Network. ACS Photonics. 9(5). 1647–1654. 7 indexed citations
4.
Khoram, Erfan, et al.. (2021). Real-time deep learning design tool for far-field radiation profile. Photonics Research. 9(4). B104–B104. 19 indexed citations
5.
Zhou, Ming, Erfan Khoram, Dianjing Liu, et al.. (2021). Self-Focused Thermal Emission and Holography Realized by Mesoscopic Thermal Emitters. ACS Photonics. 8(2). 497–504. 22 indexed citations
6.
Khoram, Erfan, Xiaoping Qian, Ming Yuan, & Zongfu Yu. (2020). Controlling the minimal feature sizes in adjoint optimization of nanophotonic devices using b-spline surfaces. Optics Express. 28(5). 7060–7060. 30 indexed citations
7.
Liu, Dianjing, Yixuan Tan, Erfan Khoram, & Zongfu Yu. (2019). Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures. Conference on Lasers and Electro-Optics. 1–2. 1 indexed citations
8.
Khoram, Erfan, Ang Chen, Dianjing Liu, et al.. (2019). Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference. Conference on Lasers and Electro-Optics. 7. JM3M.4–JM3M.4. 1 indexed citations
9.
Khoram, Erfan, Ang Chen, Dianjing Liu, et al.. (2019). Nanophotonic media for artificial neural inference. Photonics Research. 7(8). 823–823. 113 indexed citations
10.
Liu, Dianjing, Yixuan Tan, Erfan Khoram, & Zongfu Yu. (2019). Training deep neural networks for the inverse design of nanophotonic structures. Conference on Lasers and Electro-Optics. 56. JF2F.4–JF2F.4. 32 indexed citations
11.
Wu, Zhicheng, Ming Zhou, Erfan Khoram, Boyuan Liu, & Zongfu Yu. (2019). Neuromorphic metasurface. Photonics Research. 8(1). 46–46. 74 indexed citations
12.
Khoram, Erfan, Ang Chen, Dianjing Liu, et al.. (2018). Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference. arXiv (Cornell University).
13.
Liu, Dianjing, Yixuan Tan, Erfan Khoram, & Zongfu Yu. (2018). Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures. ACS Photonics. 5(4). 1365–1369. 790 indexed citations breakdown →

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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