Mohammad Bavandpour

632 total citations
18 papers, 453 citations indexed

About

Mohammad Bavandpour is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Mohammad Bavandpour has authored 18 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 7 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Mohammad Bavandpour's work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural dynamics and brain function (7 papers). Mohammad Bavandpour is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neural dynamics and brain function (7 papers). Mohammad Bavandpour collaborates with scholars based in United States, Iran and Australia. Mohammad Bavandpour's co-authors include H. Rahimpour Soleimani, Arash Ahmadi, Mohammad Reza Mahmoodi, Dmitri B. Strukov, M. Prezioso, F. Merrikh Bayat, Konstantin K. Likharev, Michael Klachko, Xin Guo and Derek Abbott and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Frontiers in Neuroscience.

In The Last Decade

Mohammad Bavandpour

17 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Bavandpour United States 9 401 164 138 138 31 18 453
Hisham Abdalla United States 9 417 1.0× 121 0.7× 240 1.7× 100 0.7× 56 1.8× 20 523
Farnood Merrikh-Bayat Iran 12 627 1.6× 109 0.7× 267 1.9× 153 1.1× 76 2.5× 15 689
Amirali Amirsoleimani Canada 14 619 1.5× 156 1.0× 329 2.4× 109 0.8× 24 0.8× 51 733
Corey Lammie Australia 12 362 0.9× 142 0.9× 113 0.8× 138 1.0× 30 1.0× 31 511
Olga Krestinskaya Kazakhstan 12 615 1.5× 182 1.1× 207 1.5× 192 1.4× 40 1.3× 41 719
Raqibul Hasan United States 16 585 1.5× 100 0.6× 253 1.8× 158 1.1× 66 2.1× 36 650
Johannes Partzsch Germany 15 511 1.3× 266 1.6× 260 1.9× 128 0.9× 16 0.5× 50 583
Maruan Al-Shedivat United States 9 313 0.8× 146 0.9× 134 1.0× 165 1.2× 19 0.6× 14 421
Myonglae Chu South Korea 10 612 1.5× 161 1.0× 314 2.3× 106 0.8× 34 1.1× 14 639
Ram Kaji Budhathoki South Korea 9 453 1.1× 131 0.8× 184 1.3× 107 0.8× 73 2.4× 24 494

Countries citing papers authored by Mohammad Bavandpour

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Bavandpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Bavandpour

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Bavandpour. A scholar is included among the top collaborators of Mohammad Bavandpour 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 Mohammad Bavandpour. Mohammad Bavandpour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bavandpour, Mohammad, et al.. (2020). Management of medical emergencies in orthodontic practice. Progress in Orthodontics. 21(1). 25–25. 7 indexed citations
2.
Bavandpour, Mohammad, Shubham Sahay, Mohammad Reza Mahmoodi, & Dmitri B. Strukov. (2020). Mixed-Signal Vector-by-Matrix Multiplier Circuits Based on 3D-NAND Memories for Neurocomputing. 696–701. 9 indexed citations
3.
Bavandpour, Mohammad. (2020). Toward Efficient Mixed-Signal Neural Processors Using Non-Volatile Memory Devices. eScholarship (California Digital Library). 1 indexed citations
4.
Bavandpour, Mohammad, Mohammad Reza Mahmoodi, & Dmitri B. Strukov. (2020). aCortex: An Energy-Efficient Multipurpose Mixed-Signal Inference Accelerator. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(1). 98–106. 11 indexed citations
5.
Sahay, Shubham, Mohammad Bavandpour, Mohammad Reza Mahmoodi, & Dmitri B. Strukov. (2020). A 2T-1R Cell Array with High Dynamic Range for Mismatch-Robust and Efficient Neurocomputing. 1–4. 6 indexed citations
6.
Bavandpour, Mohammad, Mohammad Reza Mahmoodi, Shubham Sahay, & Dmitri B. Strukov. (2019). Mixed-Signal Neuromorphic Processors: Quo Vadis?. 1–3. 2 indexed citations
7.
Bavandpour, Mohammad, Shubham Sahay, Mohammad Reza Mahmoodi, & Dmitri B. Strukov. (2019). Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(3). 823–827. 17 indexed citations
8.
Bavandpour, Mohammad, Mohammad Reza Mahmoodi, Hussein Nili, et al.. (2018). Mixed-Signal Neuromorphic Inference Accelerators: Recent Results and Future Prospects. HAL (Le Centre pour la Communication Scientifique Directe). 20.4.1–20.4.4. 23 indexed citations
9.
Guo, Xin, F. Merrikh Bayat, Mohammad Bavandpour, et al.. (2017). Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology. 6.5.1–6.5.4. 157 indexed citations
10.
Bavandpour, Mohammad, H. Rahimpour Soleimani, B. Linares-Barranco, Derek Abbott, & Leon O. Chua. (2015). Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications. Frontiers in Neuroscience. 9. 409–409. 3 indexed citations
11.
Ahmadi, Arash, et al.. (2014). Networked Adaptive Non-linear Oscillators: A Digital Synthesis and Application. Circuits Systems and Signal Processing. 34(2). 483–512. 4 indexed citations
12.
Bavandpour, Mohammad, et al.. (2014). Spiking neuro-fuzzy clustering system and its memristor crossbar based implementation. Microelectronics Journal. 45(11). 1450–1462. 7 indexed citations
13.
Soleimani, H. Rahimpour, Mohammad Bavandpour, Arash Ahmadi, & Derek Abbott. (2014). Digital Implementation of a Biological Astrocyte Model and Its Application. IEEE Transactions on Neural Networks and Learning Systems. 26(1). 127–139. 56 indexed citations
14.
Bavandpour, Mohammad, et al.. (2014). Cellular Memristive Dynamical Systems (CMDS). International Journal of Bifurcation and Chaos. 24(5). 1430016–1430016. 11 indexed citations
15.
Soleimani, H. Rahimpour, et al.. (2013). A generalized analog implementation of piecewise linear neuron models using CCII building blocks. Neural Networks. 51. 26–38. 18 indexed citations
16.
Soleimani, H. Rahimpour, Arash Ahmadi, & Mohammad Bavandpour. (2012). Biologically Inspired Spiking Neurons: Piecewise Linear Models and Digital Implementation. IEEE Transactions on Circuits and Systems I Regular Papers. 59(12). 2991–3004. 118 indexed citations
17.
Bavandpour, Mohammad, et al.. (2012). Simulation of memristor crossbar structure on GPU platform. 3 indexed citations
18.
Soleimani, H. Rahimpour, Arash Ahmadi, Mohammad Bavandpour, Amirali Amirsoleimani, & Mark Zwoliński. (2012). A Large Scale Digital Simulation of Spiking Neural Networks (SNN) on Fast SystemC Simulator. ePrints Soton (University of Southampton). 2. 25–30.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hisham Abdalla Breakdown of academic impact, for papers by Farnood Merrikh-Bayat Breakdown of academic impact, for papers by Amirali Amirsoleimani Breakdown of academic impact, for papers by Corey Lammie Breakdown of academic impact, for papers by Olga Krestinskaya Breakdown of academic impact, for papers by Raqibul Hasan Breakdown of academic impact, for papers by Johannes Partzsch Breakdown of academic impact, for papers by Maruan Al-Shedivat Breakdown of academic impact, for papers by Myonglae Chu Breakdown of academic impact, for papers by Ram Kaji Budhathoki
Rankless by CCL
2026