Midia Reshadi

934 citations
96 papers · 684 · h-index 14

Impact in

Papers in

Midia Reshadi

89 papers receiving 660 citations

Peers

Midia Reshadi
Comparison fields: 5 of 61
  • Hardware and Architecture 171
  • Computer Networks and Communications 417
  • Electrical and Electronic Engineering 350
  • Information Systems 88
  • Artificial Intelligence 94
Replace Neeli R. Prasad with:
Neeli R. Prasad Denmark
Michel A. Kinsy United States
Sergio López-Buedo Spain
Siamak Mohammadi Iran
Renhai Chen China
Soontae Kim South Korea
Sunil Shukla United States
Sunggu Lee South Korea
Shaahin Hessabi Iran
Dezun Dong China
Midia Reshadi relative to Neeli R. Prasad Denmark Neeli R. Prasad's profile →
Citations per field
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Neeli R. Prasad · 1×
Citations per year

Countries citing papers authored by Midia Reshadi

Since Specialization
Citations

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

Fields of papers citing papers by Midia Reshadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202156
2 202134
3 200629
4 202129
5 202127
6 202022
7 201621
8 202220
9 201919
10 202318
11 201817
12 201016
13 201713
14 202013
15 202013
16 201412
17 201512
18 201912
19 202011
20 201910

About Midia Reshadi

Midia Reshadi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 684 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (38 papers), Parallel Computing and Optimization Techniques (18 papers), Advanced Memory and Neural Computing (16 papers), Embedded Systems Design Techniques (13 papers), VLSI and Analog Circuit Testing (12 papers), Photonic and Optical Devices (9 papers), Optical Network Technologies (9 papers) and Supercapacitor Materials and Fabrication (9 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Computer Networks and Communications (417 citations), Electrical and Electronic Engineering (350 citations), Information Systems (88 citations) and Artificial Intelligence (94 citations). Midia Reshadi has collaborated with scholars based in Iran, United States and Iraq. Frequent co-authors include Mehdi Hosseinzadeh, Mahyar Sadrishojaei, Nima Jafari Navimipour, Ahmad Khademzadeh, Nader Bagherzadeh, Daniel D. Gajski, Ahmad Khademzadeh, Nikil Dutt, Majid Haghparast and Ali Movaghar. Their work appears in journals such as Wireless Personal Communications, Journal of Systems Architecture, Computers & Electrical Engineering, Photonic Network Communications and The Journal of Supercomputing.

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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