Foad Dabiri

989 citations
44 papers · 801 · h-index 16

Impact in

Papers in

Foad Dabiri

44 papers receiving 752 citations

Peers

Foad Dabiri
Comparison fields: 5 of 90
  • Hardware and Architecture 123
  • Computer Networks and Communications 334
  • Computer Vision and Pattern Recognition 182
  • Physical Therapy, Sports Therapy and Rehabilitation 32
  • Biomedical Engineering 320
Replace Tammara Massey with:
Tammara Massey United States
Dejan Raŝković United States
Alireza Vahdatpour United States
Akm Jahangir Alam Majumder United States
Ani Nahapetian United States
Homa Alemzadeh United States
Wen‐Tzeng Huang Taiwan
Florenc Demrozi Italy
Stefan Winter Germany
Paolo Corsini Italy
Foad Dabiri relative to Tammara Massey United States Tammara Massey's profile →
Citations per field
00.5×10.7×
Tammara Massey · 1×
Citations per year

Countries citing papers authored by Foad Dabiri

Since Specialization
Citations

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

Fields of papers citing papers by Foad Dabiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007222
2 200596
3 200853
4 200535
5 201029
6 200826
7 201324
8 200622
9 200821
10 200821
11 200821
12 200820
13 200920
14 201017
15 200816
16 200616
17 200915
18 200915
19 200912
20 200712

About Foad Dabiri

Foad Dabiri is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 801 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (13 papers), Wireless Body Area Networks (11 papers), Energy Efficient Wireless Sensor Networks (10 papers), Context-Aware Activity Recognition Systems (9 papers), Low-power high-performance VLSI design (7 papers), Real-Time Systems Scheduling (6 papers), VLSI and FPGA Design Techniques (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Computer Networks and Communications (334 citations), Computer Vision and Pattern Recognition (182 citations), Physical Therapy, Sports Therapy and Rehabilitation (32 citations) and Biomedical Engineering (320 citations). Foad Dabiri has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Majid Sarrafzadeh, Hyduke Noshadi, Roozbeh Jafari, Tammara Massey, Miodrag Potkonjak, Alireza Vahdatpour, David Crawford, Tia Gao, Arjun Chanmugam and Victor Shnayder. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Biomedical Circuits and Systems, Biomedical Microdevices and ACM Transactions on Sensor Networks.

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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