Erfan Khoram

1.5k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Photonic and Optical Devices (7 papers)Neural Networks and Reservoir Computing (7 papers)Metamaterials and Metasurfaces Applications (5 papers)
Partner nations
United StatesChina

In The Last Decade

Erfan Khoram

12 papers receiving 1.0k citations

Hit Papers

Training Deep Neural Networks for the Inverse Design of N...20182026202020232018250500750

Peers

Erfan Khoram
Comparison fields: 5 of 73
  • Electrical and Electronic Engineering 581
  • Electronic, Optical and Magnetic Materials 399
  • Atomic and Molecular Physics, and Optics 324
  • Artificial Intelligence 311
  • Biomedical Engineering 265
Replace Dianjing Liu with:
Dianjing Liu United States
Yixuan Tan United States
Dayu Zhu United States
Yihao Xu United States
John Peurifoy United States
Raphaël Pestourie United States
Clayton Fowler United States
Itzik Malkiel Israel
Sajjad Abdollahramezani United States
Erfan Khoram relative to Dianjing Liu United States Dianjing Liu's profile →
Citations per field
00.5×1.5×
Dianjing Liu · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 13
3 7
4 22
5 19
6 30
7 1
8 1
9 32
10 113
11 74
12
Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference
0
13
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structuresbreakdown →
790

About Erfan Khoram

Erfan Khoram is a scholar working on Developmental Biology, Electronic, Optical and Magnetic Materials and Artificial Intelligence, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photonic and Optical Devices (7 papers), Neural Networks and Reservoir Computing (7 papers) and Metamaterials and Metasurfaces Applications (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (40 citations), Electronic, Optical and Magnetic Materials (399 citations) and Developmental Biology (42 citations). Erfan Khoram has collaborated with scholars based in United States and China. Frequent co-authors include Zongfu Yu, Dianjing Liu, Yixuan Tan, Ming Zhou, Ming Yuan, Zhicheng Wu, Ang Chen, Qiqi Wang, Lei Ying and Boyuan Liu. Their work appears in journals such as Optics Express, ACS Photonics and ACS Omega.

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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