Saeid Nooshabadi

152 papers receiving 926 citations

Peers

Saeid Nooshabadi
Comparison fields: 5 of 75
  • Electrical and Electronic Engineering 516
  • Computer Vision and Pattern Recognition 298
  • Computer Networks and Communications 248
  • Signal Processing 208
  • Biomedical Engineering 187
Replace Ming‐Hwa Sheu with:
Ming‐Hwa Sheu Taiwan
Yoshikazu Miyanaga Japan
John Glossner United States
Jen‐Shiun Chiang Taiwan
Jiun-In Guo Taiwan
Walter Stechele Germany
Chong‐Min Kyung South Korea
Guido Masera Italy
Antonio Petraglia Brazil
C.C. Ko Singapore
Saeid Nooshabadi relative to Ming‐Hwa Sheu Taiwan Ming‐Hwa Sheu's profile →
Citations per field
00.5×3.4×
Ming‐Hwa Sheu · 1×
Citations per year

Countries citing papers authored by Saeid Nooshabadi

Since Specialization
Citations

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

Fields of papers citing papers by Saeid Nooshabadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Nooshabadi

This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Nooshabadi. A scholar is included among the top collaborators of Saeid Nooshabadi 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 Saeid Nooshabadi. Saeid Nooshabadi 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
#WorkIndexed citations
1 7
2 3
3 2
4 13
5 6
6 3
7 1
8 2
9 4
10 16
11 19
12 1
13
An UWB System and All-Digital Transmitter Architecture for Biotelemetry Systems
1
14 5
15 1
16 4
17 12
18 6
19
Selective Hybrid-ARQ turbo schemes with various Combining methods in Fading Channels
5
20 0

About Saeid Nooshabadi

Saeid Nooshabadi is a scholar working on Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 164 papers that have together received 986 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (46 papers), Analog and Mixed-Signal Circuit Design (35 papers) and Advanced Wireless Communication Techniques (35 papers). The work is most often cited by research in Signal Processing (208 citations), Computer Vision and Pattern Recognition (298 citations) and Computer Networks and Communications (248 citations). Saeid Nooshabadi has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Juan A. Montiel–Nelson, David Taubman, Todor Mladenov, Amit Kumar Gupta, Jim Garside, Kiseon Kim, Chul Kim, Zafar Iqbal, Kihyeun Kim and Heung-No Lee. Their work appears in journals such as IEEE Access, Australasian Journal of Paramedicine and IEEE Transactions on Knowledge and Data Engineering.

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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2026