Farzad Shahabi

685 citations
18 papers · 410 indexed · 1 hit paper · h-index 7

Farzad Shahabi

16 papers receiving 404 citations

Hit Papers

Deep Learning in Human Activity Recognition with Wearable...284202220262023202450100150200250

Peers

Farzad Shahabi
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 197
  • Human-Computer Interaction 22
  • Biomedical Engineering 110
  • Artificial Intelligence 79
  • Physical Therapy, Sports Therapy and Rehabilitation 10
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Citations per field
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Citations per year

Countries citing papers authored by Farzad Shahabi

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Shahabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Farzad Shahabi, 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 Farzad Shahabi Line = papers co-authored together Farzad Shahabi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20250
2 20244
3 20241
4
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advancesbreakdown →
2022284
5 202244
6 202224
7 20221
8 20211
9 20211
10 202114
11 20211
12 20218
13 20216
14 20219
15 20218
16 20213
17
4µW RMS-to-DC Converter in 180nm Technology Process for Biomedical Applications
20190
18
Four-Quadrant Weak Inversion Analog Multiplier in the 180nm Technology for Biomedical Applications
20191

About Farzad Shahabi

Farzad Shahabi is a scholar working on Energy Engineering and Power Technology, Computer Vision and Pattern Recognition and Applied Psychology, having authored 18 papers that have together received 410 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Advanced DC-DC Converters (3 papers), Advanced MIMO Systems Optimization (3 papers), Microwave Engineering and Waveguides (3 papers), Millimeter-Wave Propagation and Modeling (3 papers), Multilevel Inverters and Converters (2 papers), Advanced Battery Technologies Research (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Human-Computer Interaction (22 citations) and Biomedical Engineering (110 citations). Farzad Shahabi has collaborated with scholars based in United States, Iran and Saudi Arabia. Frequent co-authors include Shibo Zhang, Stephen Xia, Yaxuan Li, Shen Zhang, Yu Deng, Nabil Alshurafa, Mohammad Banazadeh, Hamid Reza Nouri, Mohamad Hosein Mohamadi and Kiarash Saleki. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Infection Genetics and Evolution, Applied Sciences, npj Digital Medicine and Phytotherapy Research.

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