Yashar Kiarashi

713 total citations
31 papers, 433 citations indexed

About

Yashar Kiarashi is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yashar Kiarashi has authored 31 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yashar Kiarashi's work include Photonic Crystals and Applications (11 papers), Metamaterials and Metasurfaces Applications (11 papers) and Photonic and Optical Devices (10 papers). Yashar Kiarashi is often cited by papers focused on Photonic Crystals and Applications (11 papers), Metamaterials and Metasurfaces Applications (11 papers) and Photonic and Optical Devices (10 papers). Yashar Kiarashi collaborates with scholars based in United States, Portugal and Spain. Yashar Kiarashi's co-authors include Ali Adibi, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani, Omid Hemmatyar, Hossein Taghinejad, Tianren Fan, Ali A. Eftekhar, Hossein Maleki, Wenshan Cai and Mostafa A. El‐Sayed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Scientific Reports.

In The Last Decade

Yashar Kiarashi

29 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yashar Kiarashi United States 8 189 155 125 112 79 31 433
Mohammadreza Zandehshahvar United States 7 188 1.0× 151 1.0× 124 1.0× 108 1.0× 73 0.9× 21 368
Quentin A. A. Tanguy United States 10 96 0.5× 156 1.0× 78 0.6× 129 1.2× 33 0.4× 28 335
Yun Zhu United States 13 114 0.6× 198 1.3× 135 1.1× 70 0.6× 21 0.3× 25 383
Junju Zhang China 12 150 0.8× 74 0.5× 26 0.2× 243 2.2× 11 0.1× 67 410
Guoqing Yang China 11 91 0.5× 152 1.0× 194 1.6× 118 1.1× 49 0.6× 76 409
K. Miyata Japan 10 137 0.7× 155 1.0× 59 0.5× 45 0.4× 9 0.1× 24 321
You Wu China 12 80 0.4× 203 1.3× 113 0.9× 115 1.0× 38 0.5× 30 462
Zahra Kavehvash Iran 12 87 0.5× 139 0.9× 85 0.7× 302 2.7× 23 0.3× 70 525
Yolanda Morilla Spain 13 35 0.2× 281 1.8× 34 0.3× 99 0.9× 20 0.3× 61 517
Fuhai Li China 13 77 0.4× 440 2.8× 65 0.5× 43 0.4× 12 0.2× 50 645

Countries citing papers authored by Yashar Kiarashi

Since Specialization
Citations

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

Fields of papers citing papers by Yashar Kiarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yashar Kiarashi

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

All Works

20 of 20 papers shown
1.
Kiarashi, Yashar, et al.. (2025). Indoor Localization Using Multi‐Bluetooth Beacon Deployment in a Sparse Edge Computing Environment. PubMed. 2(1). 1 indexed citations
2.
Rad, Ali Bahrami, et al.. (2025). From motion to emotion: exploring challenging behaviors in autism spectrum disorder through analysis of wearable physiology and movement. Physiological Measurement. 46(1). 15004–15004. 2 indexed citations
3.
Kiarashi, Yashar, et al.. (2025). Feasibility of assessing cognitive impairment via distributed camera network and privacy‐preserving edge computing. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(1). e70085–e70085. 1 indexed citations
4.
Zandehshahvar, Mohammadreza, Marly van Assen, Eun Kyung Kim, et al.. (2024). Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset. Journal of Imaging Informatics in Medicine. 38(2). 793–803. 1 indexed citations
5.
Kiarashi, Yashar, et al.. (2024). Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network. SHILAP Revista de lepidopterología. 2. 51–60. 1 indexed citations
6.
Kiarashi, Yashar, et al.. (2024). Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. IEEE Journal of Biomedical and Health Informatics. 28(11). 6886–6896. 3 indexed citations
7.
Zandehshahvar, Mohammadreza, et al.. (2023). Metric Learning: Harnessing the Power of Machine Learning in Nanophotonics. ACS Photonics. 10(4). 900–909. 16 indexed citations
8.
9.
Kwon, Hyeokhyen, Yashar Kiarashi, Leandro Miletto Tonetto, et al.. (2023). A Feasibility Study on Indoor Localization and Multiperson Tracking Using Sparsely Distributed Camera Network With Edge Computing. SHILAP Revista de lepidopterología. 1. 187–198. 6 indexed citations
10.
Reyna, Matthew A., Yashar Kiarashi, Andoni Elola, et al.. (2023). Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022. SHILAP Revista de lepidopterología. 2(9). e0000324–e0000324. 41 indexed citations
11.
Zandehshahvar, Mohammadreza, et al.. (2022). Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity. ACS Photonics. 9(2). 714–721. 34 indexed citations
12.
Zandehshahvar, Mohammadreza, et al.. (2022). Machine learning for efficient inverse design of nanophotonics structures. 40–40. 1 indexed citations
13.
Kiarashi, Yashar, Andoni Elola, Jorge Oliveira, et al.. (2022). Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. Computing in cardiology. 49. 7 indexed citations
14.
Assen, Marly van, Mohammadreza Zandehshahvar, Hossein Maleki, et al.. (2022). COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development. British Journal of Radiology. 95(1134). 20211028–20211028. 3 indexed citations
15.
Zandehshahvar, Mohammadreza, et al.. (2022). Efficient artificial intelligence techniques for inverse design and knowledge discovery in metamaterials. The Journal of the Acoustical Society of America. 151(4_Supplement). A254–A254. 2 indexed citations
16.
Zandehshahvar, Mohammadreza, et al.. (2021). Inverse design of photonic nanostructures using dimensionality reduction: reducing the computational complexity. Optics Letters. 46(11). 2634–2634. 19 indexed citations
17.
Zandehshahvar, Mohammadreza, et al.. (2021). Manifold Learning for Reducing the Design Complexity of Photonic Nanostructures. Conference on Lasers and Electro-Optics. JTu3A.115–JTu3A.115. 1 indexed citations
18.
Zandehshahvar, Mohammadreza, Marly van Assen, Hossein Maleki, et al.. (2021). Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease. Scientific Reports. 11(1). 11112–11112. 19 indexed citations
19.
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
20.
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

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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