‎Mohammad Ganjtabesh

1.7k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

‎Mohammad Ganjtabesh is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, ‎Mohammad Ganjtabesh has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 13 papers in Electrical and Electronic Engineering and 11 papers in Molecular Biology. Recurrent topics in ‎Mohammad Ganjtabesh's work include Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (12 papers) and CCD and CMOS Imaging Sensors (6 papers) ‎Mohammad Ganjtabesh is often cited by papers focused on Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (12 papers) and CCD and CMOS Imaging Sensors (6 papers) ‎Mohammad Ganjtabesh collaborates with scholars based in Iran, France and Germany ‎Mohammad Ganjtabesh's co-authors include Timothée Masquelier, Saeed Reza Kheradpisheh, Simon J. Thorpe, Abbas Nowzari-Dalini, Milad Mozafari, Morteza Mohammad-Noori, Masoud Ghodrati, Reza Ebrahimpour, Ali Rahimi and Jochen Triesch and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

‎Mohammad Ganjtabesh

28 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

STDP-based spiking deep convolutional neural networks for object recognition

2017 508 citations Saeed Reza Kheradpisheh, ‎Mohammad Ganjtabesh et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
‎Mohammad Ganjtabesh Iran	12	857	681	348	251	92	30	1.1k
Jason K. Eshraghian United States	20	1.2k 1.4×	527 0.8×	377 1.1×	474 1.9×	29 0.3×	97	1.7k
Yoonsuck Choe United States	14	224 0.3×	468 0.7×	306 0.9×	143 0.6×	84 0.9×	108	924
Saeed Reza Kheradpisheh Iran	12	1.4k 1.6×	1.0k 1.5×	673 1.9×	345 1.4×	19 0.2×	27	1.8k
Peiran Gao United States	7	877 1.0×	587 0.9×	344 1.0×	397 1.6×	22 0.2×	7	1.2k
Jeffrey L. McKinstry United States	10	924 1.1×	530 0.8×	450 1.3×	231 0.9×	13 0.1×	17	1.2k
Xing Hu China	19	851 1.0×	199 0.3×	618 1.8×	109 0.4×	49 0.5×	64	1.4k
Hui Song China	14	504 0.6×	414 0.6×	223 0.6×	72 0.3×	29 0.3×	52	1.1k
Ľubica Beňušková New Zealand	14	330 0.4×	417 0.6×	250 0.7×	198 0.8×	94 1.0×	47	743
Arup Roy United States	14	400 0.5×	694 1.0×	81 0.2×	530 2.1×	77 0.8×	52	1.4k
Travis DeWolf Canada	7	534 0.6×	605 0.9×	345 1.0×	211 0.8×	19 0.2×	8	955

Countries citing papers authored by ‎Mohammad Ganjtabesh

Since Specialization

Citations

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

Fields of papers citing papers by ‎Mohammad Ganjtabesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ‎Mohammad Ganjtabesh

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

All Works

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20 of 20 papers shown

Ganjtabesh, ‎Mohammad, et al.. (2025). Competition and cooperation of assembly sequences in recurrent neural networks. PLoS Computational Biology. 21(9). e1013403–e1013403.

Kheradpisheh, Saeed Reza, et al.. (2024). Meta-learning in spiking neural networks with reward-modulated STDP. Neurocomputing. 600. 128173–128173. 9 indexed citations

Rahimi, Ali, et al.. (2024). Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. Frontiers in Neuroinformatics. 18. 1331220–1331220. 3 indexed citations

Ganjtabesh, ‎Mohammad, et al.. (2024). Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks. Neural Computation. 36(7). 1332–1352.

Ganjtabesh, ‎Mohammad, et al.. (2024). On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks. Scientific Reports. 14(1). 1945–1945. 3 indexed citations

Mozafari, Milad, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, & Timothée Masquelier. (2019). SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron. Frontiers in Neuroscience. 13. 625–625. 78 indexed citations

Mozafari, Milad, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, & Timothée Masquelier. (2019). Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Recognition. 94. 87–95. 119 indexed citations

Mozafari, Milad, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, & Timothée Masquelier. (2018). Bio-Inspired Digit Recognition Using Spike-Timing-Dependent Plasticity (STDP) and Reward-Modulated STDP in Deep Convolutional Networks. arXiv (Cornell University). 3 indexed citations

Ganjtabesh, ‎Mohammad, et al.. (2017). Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources. BMC Bioinformatics. 18(1). 10–10. 13 indexed citations

10.

Kheradpisheh, Saeed Reza, ‎Mohammad Ganjtabesh, Simon J. Thorpe, & Timothée Masquelier. (2017). STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks. 99. 56–67. 508 indexed citations breakdown →

11.

Kheradpisheh, Saeed Reza, et al.. (2017). Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8. 1261–1261. 11 indexed citations

12.

Kheradpisheh, Saeed Reza, ‎Mohammad Ganjtabesh, Simon J. Thorpe, & Timothée Masquelier. (2016). STDP-based spiking deep neural networks for object recognition.. arXiv (Cornell University). 33 indexed citations

13.

Kheradpisheh, Saeed Reza, Masoud Ghodrati, ‎Mohammad Ganjtabesh, & Timothée Masquelier. (2016). Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10. 92–92. 18 indexed citations

14.

Ganjtabesh, ‎Mohammad, et al.. (2016). Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data. PLoS ONE. 11(11). e0166965–e0166965. 5 indexed citations

15.

Ganjtabesh, ‎Mohammad, et al.. (2015). ERD: a fast and reliable tool for RNA design including constraints. BMC Bioinformatics. 16(1). 20–20. 17 indexed citations

16.

Kheradpisheh, Saeed Reza, Abbas Nowzari-Dalini, Reza Ebrahimpour, & ‎Mohammad Ganjtabesh. (2014). An Evidence-Based Combining Classifier for Brain Signal Analysis. PLoS ONE. 9(1). e84341–e84341. 6 indexed citations

17.

Kheradpisheh, Saeed Reza, et al.. (2014). Mixture of feature specified experts. Information Fusion. 20. 242–251. 17 indexed citations

18.

Ganjtabesh, ‎Mohammad, et al.. (2013). Genetic algorithm solution for partial digest problem. International Journal of Bioinformatics Research and Applications. 9(6). 584–584. 4 indexed citations

19.

Ganjtabesh, ‎Mohammad, et al.. (2009). MOLECULAR SOLUTIONS FOR DOUBLE AND PARTIAL DIGEST PROBLEMS IN POLYNOMIAL TIME. Computing and Informatics / Computers and Artificial Intelligence. 28(5). 599–618. 1 indexed citations

20.

Ganjtabesh, ‎Mohammad, et al.. (2005). DNA algorithm for an unbounded fan-in Boolean circuit. Biosystems. 82(1). 52–60. 7 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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