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Pedram Ghamisi

ResearcherPublications, citations & collaboration network

Pedram Ghamisi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 428 works, 25,641 citations, an h-index of 77 and an i10-index of 215.

428
Works
25,641
Citations
77
h-index
215
i10-index

How has Pedram Ghamisi's publication output changed over time?

ScholarIQpublication output · 2014–2024

Output grew100% over the shown period — from 1 works in 2014 to 2 in 2024.

1
1
3
1
1
2
2
2014201620172018201920202024

What are the most-cited papers on Pedram Ghamisi?

ScholarIQmost cited works
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi
S111326731. 20162,939 Citations
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu
S111326731. 20171,369 Citations
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni
S117727964. 20201,073 CitationsOPEN ACCESS
Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza
S2491948244. 2017866 Citations
SpectralGPT: Spectral Remote Sensing Foundation Model
Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot
S199944782. 2024742 CitationsOPEN ACCESS

Related on ScholarIQ

University of Iceland
Institution
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Paper
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Paper
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Paper
Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
Paper
SpectralGPT: Spectral Remote Sensing Foundation Model
Paper
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