Ammar Belatreche

3.1k total citations · 1 hit paper
85 papers, 2.0k citations indexed

About

Ammar Belatreche is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ammar Belatreche has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 36 papers in Artificial Intelligence and 33 papers in Cognitive Neuroscience. Recurrent topics in Ammar Belatreche's work include Advanced Memory and Neural Computing (38 papers), Neural dynamics and brain function (31 papers) and Stock Market Forecasting Methods (19 papers). Ammar Belatreche is often cited by papers focused on Advanced Memory and Neural Computing (38 papers), Neural dynamics and brain function (31 papers) and Stock Market Forecasting Methods (19 papers). Ammar Belatreche collaborates with scholars based in United Kingdom, China and United States. Ammar Belatreche's co-authors include T.M. McGinnity, Liam Maguire, Yuhua Li, Sonya Coleman, Aboozar Taherkhani, Georgina Cosma, Brendan Glackin, Hong Qu, J. Wang and Ahmed Bouridane and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Ammar Belatreche

79 papers receiving 1.9k citations

Hit Papers

1 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.

A review of learning in biologically plausible spiking neural networks

2019 268 citations Aboozar Taherkhani, Ammar Belatreche 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
Ammar Belatreche United Kingdom	22	1.1k	800	789	407	326	85	2.0k
Sander M. Bohté Netherlands	19	754 0.7×	783 1.0×	447 0.6×	107 0.3×	252 0.8×	67	1.4k
Will Dabney United States	13	357 0.3×	245 0.3×	1.0k 1.3×	182 0.4×	92 0.3×	18	2.0k
Yuki Todo Japan	26	356 0.3×	153 0.2×	1.3k 1.7×	204 0.5×	47 0.1×	132	1.9k
Subutai Ahmad Germany	18	237 0.2×	329 0.4×	999 1.3×	49 0.1×	115 0.4×	33	1.6k
Tao Xiong United States	16	222 0.2×	192 0.2×	572 0.7×	38 0.1×	139 0.4×	40	1.5k
Jin Cao United States	23	330 0.3×	196 0.2×	473 0.6×	106 0.3×	20 0.1×	83	2.0k
Kuniaki Uehara Japan	16	132 0.1×	63 0.1×	602 0.8×	259 0.6×	10 0.0×	124	1.5k
Zehra Çataltepe Türkiye	13	117 0.1×	85 0.1×	326 0.4×	208 0.5×	5 0.0×	60	862
Ulrich Faigle Germany	21	123 0.1×	82 0.1×	198 0.3×	436 1.1×	32 0.1×	104	1.6k
Hui Xu China	22	1.0k 0.9×	120 0.1×	477 0.6×	23 0.1×	316 1.0×	205	1.9k

Countries citing papers authored by Ammar Belatreche

Since Specialization

Citations

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

Fields of papers citing papers by Ammar Belatreche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Belatreche

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Belatreche, Ammar, et al.. (2025). Ternary spike-based neuromorphic signal processing system. Neural Networks. 187. 107333–107333. 3 indexed citations

2.

Zhang, Malu, Jibin Wu, Ammar Belatreche, et al.. (2025). Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10143–10155. 2 indexed citations

3.

Zennir, Youcef, et al.. (2025). Reinforcement learning for hexapod robot trajectory control: a study of Q-learning and SARSA algorithms. International Journal of Intelligent Robotics and Applications. 10(1). 273–312.

4.

Zhang, Malu, Jiadong Wang, Zhixuan Zhang, et al.. (2020). Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. arXiv (Cornell University). 15 indexed citations

5.

Belatreche, Ammar, et al.. (2020). Detection of Stock Price Manipulation Using Kernel Based Principal Component Analysis and Multivariate Density Estimation. IEEE Access. 8. 135989–136003. 13 indexed citations

6.

Li, Pengfei, et al.. (2016). Using artificial neural networks to predict short-term wholesale prices on the Irish Single Electricity Market. Ulster University Research Portal (Ulster University). 1–10. 5 indexed citations

7.

McGinnity, T.M., et al.. (2016). Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning. Decision Support Systems. 85. 74–83. 60 indexed citations

8.

McGinnity, T.M., et al.. (2015). Stock price prediction based on stock-specific and sub-industry-specific news articles. 1–8. 21 indexed citations

9.

McGinnity, T.M., et al.. (2014). Hardware-based agent modelling: event-driven reactive architecture (EDRA). Adaptive Agents and Multi-Agents Systems. 1497–1498. 1 indexed citations

10.

Taherkhani, Aboozar, Ammar Belatreche, Yuhua Li, & Liam Maguire. (2014). A new biologically plausible supervised learning method for spiking neurons. University of Salford Institutional Repository (University of Salford). 11–16. 9 indexed citations

11.

Cao, Yi, Yuhua Li, Sonya Coleman, Ammar Belatreche, & T.M. McGinnity. (2014). Detecting wash trade in the financial market. View. 85–91. 8 indexed citations

12.

Cao, Yi, Yuhua Li, Sonya Coleman, Ammar Belatreche, & T.M. McGinnity. (2014). Detecting price manipulation in the financial market. View. 77–84. 21 indexed citations

13.

McDonald, Scott A., Sonya Coleman, T.M. McGinnity, Yuhua Li, & Ammar Belatreche. (2014). A comparison of forecasting approaches for capital markets. 32–39. 5 indexed citations

14.

Ding, Xuemei, Yuhua Li, Ammar Belatreche, & Liam Maguire. (2013). Novelty Detection Using Level Set Methods with Adaptive Boundaries. ORCA Online Research @Cardiff (Cardiff University). 7. 3020–3025. 2 indexed citations

15.

Ghani, Arfan, Liam McDaid, Ammar Belatreche, et al.. (2011). Evaluating the generalisation capability of a CMOS based synapse. Neurocomputing. 83. 188–197. 7 indexed citations

16.

Belatreche, Ammar. (2010). Biologically Inspired Neural Networks. 3 indexed citations

17.

Belatreche, Ammar. (2010). Biologically Inspired Neural Networks: Models, Learning, and Applications. 5 indexed citations

18.

Wu, Qing, T.M. McGinnity, Liam Maguire, Ammar Belatreche, & Brendan Glackin. (2007). Edge Detection Based on Spiking Neural Network Model. 26–34. 15 indexed citations

19.

Maguire, Liam, T.M. McGinnity, Brendan Glackin, et al.. (2007). Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing. 71(1-3). 13–29. 134 indexed citations

20.

Belatreche, Ammar, Liam Maguire, T.M. McGinnity, & Qingxiang Wu. (2003). An Evolutionary Strategy for Supervised Training of Biologically Plausible Neural Networks. 106(6). 701–5. 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.

Explore authors with similar magnitude of impact