Saeed Gazor

4.7k citations
243 papers · 3.4k · h-index 30

Impact in

Papers in

Saeed Gazor

230 papers receiving 3.2k citations

Peers

Saeed Gazor
Comparison fields: 5 of 87
  • Signal Processing 1.1k
  • Computer Networks and Communications 1.2k
  • Computational Mechanics 760
  • Media Technology 298
  • Aerospace Engineering 651
Replace Tareq Y. Al-Naffouri with:
Tareq Y. Al-Naffouri Saudi Arabia
Ignacio Santamarı́a Spain
Behrouz Farhang‐Boroujeny United States
Byonghyo Shim South Korea
A.G. Constantinides United Kingdom
Junli Liang China
Dirk Slock France
Markku Renfors Finland
Cédric Richard France
Haitham Hassanieh United States
Saeed Gazor relative to Tareq Y. Al-Naffouri Saudi Arabia Tareq Y. Al-Naffouri's profile →
Citations per field
00.5×1.5×1.9×
Tareq Y. Al-Naffouri · 1×
Citations per year

Countries citing papers authored by Saeed Gazor

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Gazor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saeed Gazor, 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 Saeed Gazor Line = papers co-authored together Saeed Gazor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010317
2 2003220
3 2002171
4 2001166
5 2009132
6 2008108
7 200999
8 200396
9 201260
10 200554
11 200954
12 200852
13 201549
14 199449
15 199243
16 201742
17 199939
18 200938
19 199636
20 201635

About Saeed Gazor

Saeed Gazor is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Aerospace Engineering, having authored 243 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (39 papers), Advanced Adaptive Filtering Techniques (37 papers), Speech and Audio Processing (35 papers), Cooperative Communication and Network Coding (34 papers), Blind Source Separation Techniques (33 papers), Radar Systems and Signal Processing (32 papers), Image and Signal Denoising Methods (28 papers) and Advanced Wireless Communication Techniques (28 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Networks and Communications (1.2k citations), Computational Mechanics (760 citations), Media Technology (298 citations) and Aerospace Engineering (651 citations). Saeed Gazor has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Abbas Taherpour, Wei Zhang, Hossein Rabbani, Masoumeh Nasiri-Kenari, Mehran Hojati, Behrouz Farhang‐Boroujeny, Shahram Shahbazpanahi, Wei Zhang, Mansur Vafadust and Mostafa Derakhtian. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters and IEEE Transactions on Aerospace and Electronic Systems.

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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