Hajar Emami

423 total citations
7 papers, 283 citations indexed

About

Hajar Emami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Hajar Emami has authored 7 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in Hajar Emami's work include Generative Adversarial Networks and Image Synthesis (3 papers), AI in cancer detection (3 papers) and Vehicle License Plate Recognition (2 papers). Hajar Emami is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), AI in cancer detection (3 papers) and Vehicle License Plate Recognition (2 papers). Hajar Emami collaborates with scholars based in United States and Iran. Hajar Emami's co-authors include Ming Dong, Carri Glide‐Hurst, Siamak P. Nejad‐Davarani, Yinlun Huang, Lonni Schultz, Eric Morris, Xiaoning Liu, Kaamran Raahemifar and Mahmood Fathy and has published in prestigious journals such as Medical Physics, Computers & Chemical Engineering and Journal of Applied Clinical Medical Physics.

In The Last Decade

Hajar Emami

6 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajar Emami United States 5 193 94 85 75 50 7 283
Kei Ichiji Japan 10 195 1.0× 111 1.2× 40 0.5× 59 0.8× 93 1.9× 47 298
Jun Xia China 7 194 1.0× 22 0.2× 100 1.2× 60 0.8× 37 0.7× 22 295
Kai Xie China 9 178 0.9× 88 0.9× 51 0.6× 80 1.1× 56 1.1× 31 280
Xiao Liang United States 8 248 1.3× 178 1.9× 48 0.6× 122 1.6× 66 1.3× 40 383
Rupert Brooks Canada 9 119 0.6× 23 0.2× 113 1.3× 67 0.9× 72 1.4× 23 282
Koen A. J. Eppenhof Netherlands 10 240 1.2× 81 0.9× 187 2.2× 105 1.4× 51 1.0× 11 367
Laquan Li China 10 258 1.3× 22 0.2× 140 1.6× 78 1.0× 72 1.4× 24 366
Shaoyan Pan United States 12 258 1.3× 67 0.7× 88 1.0× 121 1.6× 70 1.4× 35 372

Countries citing papers authored by Hajar Emami

Since Specialization
Citations

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

Fields of papers citing papers by Hajar Emami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajar Emami

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

All Works

7 of 7 papers shown
1.
Emami, Hajar, Ming Dong, Siamak P. Nejad‐Davarani, & Carri Glide‐Hurst. (2021). SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation.. arXiv (Cornell University).
2.
Liu, Xiaoning, Hajar Emami, Siamak P. Nejad‐Davarani, et al.. (2021). Performance of deep learning synthetic CTs for MR‐only brain radiation therapy. Journal of Applied Clinical Medical Physics. 22(1). 308–317. 24 indexed citations
3.
Emami, Hajar, Ming Dong, & Carri Glide‐Hurst. (2020). Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation. PubMed. 2020. 188–193. 10 indexed citations
4.
Emami, Hajar, et al.. (2020). Attention-based recurrent neural network for multistep-ahead prediction of process performance. Computers & Chemical Engineering. 140. 106931–106931. 26 indexed citations
5.
Emami, Hajar, Ming Dong, Siamak P. Nejad‐Davarani, & Carri Glide‐Hurst. (2018). Generating synthetic CTs from magnetic resonance images using generative adversarial networks. Medical Physics. 45(8). 3627–3636. 215 indexed citations
6.
Emami, Hajar, et al.. (2014). Real Time Vehicle Make and Model Recognition Based on Hierarchical Classification. International Journal of Machine Learning and Computing. 4(2). 142–145. 7 indexed citations
7.
Emami, Hajar & Mahmood Fathy. (2008). Cascade-based Approach for License Plate Recognition.. IPCV. 44–49. 1 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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