Ehsan Saeedi

477 citations
22 papers · 380 · h-index 9

Impact in

Papers in

Ehsan Saeedi

22 papers receiving 364 citations

Peers

Ehsan Saeedi
Comparison fields: 5 of 72
  • Ophthalmology 79
  • Radiology, Nuclear Medicine and Imaging 139
  • Health Information Management 25
  • Computer Vision and Pattern Recognition 92
  • Artificial Intelligence 125
Replace Jan M. Köhler with:
Jan M. Köhler Germany
Huadeng Wang China
Jawad Mirza Pakistan
Hailan Shen China
Saleha Masood Pakistan
Soung‐Yue Liew Malaysia
T. Jaya India
Riaz Ali China
S. Palanivel Rajan India
Ehsan Saeedi relative to Jan M. Köhler Germany Jan M. Köhler's profile →
Citations per field
00.5×8.3×
Jan M. Köhler · 1×
Citations per year

Countries citing papers authored by Ehsan Saeedi

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Saeedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ehsan Saeedi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ehsan Saeedi Line = papers co-authored together Ehsan Saeedi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 201665
3 200842
4 201433
5 201825
6 201710
7 20159
8 20149
9 20169
10 20157
11 20186
12 20156
13 20186
14 20205
15 20165
16
Lung function parameters in patients with gastroesophageal reflux without respiratory symptoms: a case-control study.
20195
17
Side-channel vulnerabilities of automobiles
20144
18 20104
19 20174
20 20143

About Ehsan Saeedi

Ehsan Saeedi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Hardware and Architecture and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 380 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (10 papers), Cryptography and Residue Arithmetic (9 papers), Chaos-based Image/Signal Encryption (6 papers), Coding theory and cryptography (5 papers), Cryptography and Data Security (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Ophthalmology (79 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Health Information Management (25 citations), Computer Vision and Pattern Recognition (92 citations) and Artificial Intelligence (125 citations). Ehsan Saeedi has collaborated with scholars based in Australia, Iran and Switzerland. Frequent co-authors include Yinan Kong, Md. Selim Hossain, Mojtaba Masoudi, Hamid Reza Pourreza, Hamid Niazmand, Metin Renksizbulut, Bernard Kress, Hamid Abdollahi, Kiarash Tanha and Yu Kong. Their work appears in journals such as Artificial Intelligence Review, BioMedical Engineering OnLine, Journal of Clinical Densitometry, International Journal of Heat and Mass Transfer and PLoS ONE.

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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