Javad Frounchi

913 total citations
48 papers, 653 citations indexed

About

Javad Frounchi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Javad Frounchi has authored 48 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 21 papers in Biomedical Engineering and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Javad Frounchi's work include Analog and Mixed-Signal Circuit Design (17 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Javad Frounchi is often cited by papers focused on Analog and Mixed-Signal Circuit Design (17 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Javad Frounchi collaborates with scholars based in Iran, United States and Switzerland. Javad Frounchi's co-authors include Zeynab Mohammadi, Mahmood Amiri, Alireza Farnam, Mohammad H. Zarifi, Giovanni Boero, Hadi Veladi, P.-A. Besse, Parviz Shahabi, Esmaeil Najafi Aghdam and Michel Demierre and has published in prestigious journals such as IEEE Access, Review of Scientific Instruments and Sensors and Actuators A Physical.

In The Last Decade

Javad Frounchi

46 papers receiving 625 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javad Frounchi Iran 12 304 254 155 146 80 48 653
Karim Ansari-Asl Iran 15 484 1.6× 150 0.6× 388 2.5× 173 1.2× 49 0.6× 58 1.1k
Minji Lee South Korea 17 557 1.8× 91 0.4× 119 0.8× 69 0.5× 91 1.1× 69 949
Masatoshi Nakamura Japan 17 422 1.4× 71 0.3× 65 0.4× 100 0.7× 87 1.1× 103 886
Yajing Si China 18 1.1k 3.7× 311 1.2× 63 0.4× 56 0.4× 130 1.6× 45 1.3k
Martin Luessi United States 11 1.1k 3.7× 154 0.6× 91 0.6× 123 0.8× 50 0.6× 18 1.5k
Nicholas Costen United Kingdom 17 499 1.6× 455 1.8× 54 0.3× 148 1.0× 29 0.4× 67 1.5k
Maie Bachmann Estonia 19 615 2.0× 202 0.8× 33 0.2× 147 1.0× 245 3.1× 53 1.1k
Yung-Hung Wang Taiwan 12 245 0.8× 76 0.3× 77 0.5× 83 0.6× 94 1.2× 28 650
K. G. Smitha Singapore 14 185 0.6× 71 0.3× 138 0.9× 82 0.6× 72 0.9× 53 516
Xiaoping Li China 10 249 0.8× 147 0.6× 31 0.2× 64 0.4× 130 1.6× 37 622

Countries citing papers authored by Javad Frounchi

Since Specialization
Citations

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

Fields of papers citing papers by Javad Frounchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Frounchi

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Frounchi. A scholar is included among the top collaborators of Javad Frounchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javad Frounchi. Javad Frounchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frounchi, Javad, et al.. (2020). Scalable and energy efficient seizure detection based on direct use of compressively-sensed EEG data on an ultra low power multi-core architecture. Computers in Biology and Medicine. 125. 104004–104004. 6 indexed citations
2.
Aghdam, Esmaeil Najafi, et al.. (2019). A Power-Efficient Configurable FSK–OOK Transmitter with Scalable Data Rate for Wireless Medical Applications. Circuits Systems and Signal Processing. 39(6). 2776–2795. 3 indexed citations
3.
Aghdam, Esmaeil Najafi, et al.. (2018). A novel zero dead zone PFD and efficient CP for PLL applications. Analog Integrated Circuits and Signal Processing. 95(1). 83–91. 23 indexed citations
4.
Benatti, Simone, et al.. (2018). Compressed Sensing Based Seizure Detection for an Ultra Low Power Multi-core Architecture. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2014. 492–495. 4 indexed citations
5.
Aghdam, Esmaeil Najafi, et al.. (2018). A Low Power Current-Reuse LC-VCO with Self Body-Bias Schema. 294–299. 3 indexed citations
6.
Frounchi, Javad, et al.. (2017). Simulation of effects of the electrode structure and material in the density measuring system of the peripheral nerve based on micro-electrical impedance tomography. Biomedizinische Technik/Biomedical Engineering. 63(2). 151–161. 5 indexed citations
7.
Frounchi, Javad, et al.. (2017). Measurement of transcranial magnetic stimulation resolution in 3-D spaces. Measurement. 116. 326–340. 6 indexed citations
8.
Frounchi, Javad, et al.. (2016). A New Receiver Front-End for Simultaneous Dual-Frequency NMR Applications. Journal of Circuits Systems and Computers. 25(9). 1650109–1650109. 1 indexed citations
9.
Frounchi, Javad, et al.. (2015). Effect of contacts configuration and location on selective stimulation of cuff electrode. Bio-Medical Materials and Engineering. 25(3). 237–248. 2 indexed citations
10.
Frounchi, Javad, et al.. (2015). A neural network system for diagnosis and assessment of tremor in parkinson disease patients. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–5. 23 indexed citations
11.
Shahabi, Parviz, et al.. (2015). An autonomous real-time single-channel detection of absence seizures in WAG/Rij rats. General Physiology and Biophysics. 34(3). 285–291. 6 indexed citations
12.
Frounchi, Javad, et al.. (2013). A low‐power, area‐efficient multichannel receiver for micro MRI. International Journal of Circuit Theory and Applications. 42(8). 858–869. 6 indexed citations
13.
Zarifi, Mohammad H., et al.. (2010). A low‐power small‐area 10‐bit analog‐to‐digital converter for neural recording applications. International Journal of Circuit Theory and Applications. 39(4). 385–395. 13 indexed citations
14.
Frounchi, Javad, et al.. (2010). A High Speed FPGA Implementation of a 1024-Point Complex FFT Processor. 312–315. 13 indexed citations
15.
Zarifi, Mohammad H., et al.. (2009). A novel time-based low-power pipeline analog to digital converter. Analog Integrated Circuits and Signal Processing. 62(3). 281–289. 3 indexed citations
16.
Zarifi, Mohammad H., et al.. (2008). FPGA implementation of a fully digital demodulation technique for biomedical application. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 1265–1268. 8 indexed citations
17.
Frounchi, Javad, et al.. (2008). An FPGA implementation of an Artificial Neural Network for prediction of cetane number. 605–608. 13 indexed citations
18.
Frounchi, Javad, et al.. (2004). Novel Rotary Electrical Capacitance Tomography System. Iranian Conference on Electrical Engineering. 1 indexed citations
19.
Frounchi, Javad, et al.. (2001). An integrated CMOS microsystem for NMR applications. European Solid-State Circuits Conference. 460–463. 1 indexed citations
20.
Boero, Giovanni, et al.. (2001). Fully integrated probe for proton nuclear magnetic resonance magnetometry. Review of Scientific Instruments. 72(6). 2764–2768. 47 indexed citations

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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