Foad Dabiri

982 citations
40 papers · 666 indexed · h-index 15

Foad Dabiri

40 papers receiving 629 citations

Peers

Foad Dabiri
Comparison fields: 5 of 91
  • Hardware and Architecture 97
  • Computer Networks and Communications 278
  • Computer Vision and Pattern Recognition 151
  • Biomedical Engineering 282
  • Physical Therapy, Sports Therapy and Rehabilitation 24
Replace Tammara Massey with:
Tammara Massey United States
Akm Jahangir Alam Majumder United States
Alireza Vahdatpour United States
Wen‐Tzeng Huang Taiwan
Dejan Raŝković United States
Florenc Demrozi Italy
Stefan Winter Germany
Majid Janidarmian Canada
Allen C. Cheng United States
Steve Moulton United States
Foad Dabiri relative to Tammara Massey United States Tammara Massey's profile →
Citations per field
00.5×
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-authorship network

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
#Work
1 20178
2 20172
3 20141
4 201322
5 20132
6 201015
7 201026
8 20109
9 20098
10 200910
11 200916
12 200910
13 200910
14 20091
15 200848
16 200815
17 200816
18 20072
19 2007193
20 200616

About Foad Dabiri

Foad Dabiri is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 40 papers that have together received 666 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (12 papers), Wireless Body Area Networks (10 papers), Energy Efficient Wireless Sensor Networks (10 papers), Context-Aware Activity Recognition Systems (9 papers), Low-power high-performance VLSI design (6 papers), VLSI and FPGA Design Techniques (5 papers), Real-Time Systems Scheduling (5 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Hardware and Architecture (97 citations), Computer Networks and Communications (278 citations), Computer Vision and Pattern Recognition (151 citations), Biomedical Engineering (282 citations) and Physical Therapy, Sports Therapy and Rehabilitation (24 citations). Foad Dabiri has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Majid Sarrafzadeh, Hyduke Noshadi, Roozbeh Jafari, Tammara Massey, Miodrag Potkonjak, Tia Gao, Matt Welsh, David Crawford, Arjun Chanmugam and Konrad Lorincz. 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, ACM Transactions on Sensor Networks and Wireless Communications and Mobile Computing.

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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