Saied Hemati

778 citations
41 papers · 514 · h-index 13

Impact in

Papers in

Saied Hemati

41 papers receiving 498 citations

Peers

Saied Hemati
Comparison fields: 5 of 34
  • Computer Networks and Communications 422
  • Electrical and Electronic Engineering 447
  • Artificial Intelligence 100
  • Computational Theory and Mathematics 31
  • Biomedical Engineering 44
Replace Shraga I. Bross with:
Shraga I. Bross Israel
Lin‐Nan Lee United States
Alexey Frolov Russia
E. Yeo United States
G. Feygin United States
C. Windpassinger Germany
F. Tarkoy Switzerland
Jun Heo South Korea
Stephan Tinguely Switzerland
Xiangbin Yu China
Saied Hemati relative to Shraga I. Bross Israel Shraga I. Bross's profile →
Citations per field
00.5×2.9×
Shraga I. Bross · 1×
Citations per year

Countries citing papers authored by Saied Hemati

Since Specialization
Citations

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

Fields of papers citing papers by Saied Hemati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Saied Hemati, 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 Saied Hemati Line = papers co-authored together Saied Hemati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201095
2 200458
3 200647
4 200646
5 200920
6 201019
7 201618
8 201317
9 201417
10 201216
11 201914
12 201313
13 200913
14 200711
15 200310
16 20108
17 20188
18 20038
19 20077
20 20067

About Saied Hemati

Saied Hemati is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering, having authored 41 papers that have together received 514 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (32 papers), Advanced Wireless Communication Techniques (29 papers), Cooperative Communication and Network Coding (17 papers), Wireless Communication Security Techniques (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Cellular Automata and Applications (3 papers), Coding theory and cryptography (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Computer Networks and Communications (422 citations), Electrical and Electronic Engineering (447 citations), Artificial Intelligence (100 citations), Computational Theory and Mathematics (31 citations) and Biomedical Engineering (44 citations). Saied Hemati has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Amir H. Banihashemi, Warren J. Gross, Shie Mannor, M Yazdani, Calvin Plett, Ali Naderi, François Leduc-Primeau, Camille Leroux, Gabi Sarkis and Brian K. Johnson. Their work appears in journals such as IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Journal of Solid-State Circuits.

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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