Shirin Dora

573 total citations
32 papers, 339 citations indexed

About

Shirin Dora is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shirin Dora has authored 32 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 14 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Shirin Dora's work include Neural dynamics and brain function (17 papers), Advanced Memory and Neural Computing (13 papers) and Neural Networks and Reservoir Computing (6 papers). Shirin Dora is often cited by papers focused on Neural dynamics and brain function (17 papers), Advanced Memory and Neural Computing (13 papers) and Neural Networks and Reservoir Computing (6 papers). Shirin Dora collaborates with scholars based in United Kingdom, India and Singapore. Shirin Dora's co-authors include Suresh Sundaram, N. Sundararajan, Cyriel M. A. Pennartz, Nikola Kasabov, K. R. Subramanian, Jeannette A. M. Lorteije, Lars Muckli, Sujit Roy, Sander M. Bohté and Shailender Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Neurosciences and Sensors.

In The Last Decade

Shirin Dora

27 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shirin Dora United Kingdom 10 226 170 115 45 18 32 339
Elisa Capecci New Zealand 7 204 0.9× 160 0.9× 92 0.8× 30 0.7× 13 0.7× 10 280
Huihui Zhou China 7 286 1.3× 199 1.2× 112 1.0× 64 1.4× 24 1.3× 17 446
Kshitij Dhoble New Zealand 4 200 0.9× 232 1.4× 126 1.1× 45 1.0× 11 0.6× 4 306
Nuttapod Nuntalid Switzerland 2 193 0.9× 224 1.3× 120 1.0× 44 1.0× 10 0.6× 2 296
George L. Chadderdon United States 14 270 1.2× 114 0.7× 63 0.5× 158 3.5× 7 0.4× 22 426
Yueying Zhou China 11 281 1.2× 50 0.3× 44 0.4× 35 0.8× 20 1.1× 32 391
Aklima Akter Lima Bangladesh 6 133 0.6× 30 0.2× 103 0.9× 60 1.3× 23 1.3× 7 324
Michael Hersche Switzerland 10 210 0.9× 193 1.1× 167 1.5× 85 1.9× 47 2.6× 17 446
Sujoy Chandra Das Bangladesh 4 133 0.6× 29 0.2× 97 0.8× 60 1.3× 20 1.1× 6 299
Seif Eldawlatly Egypt 11 360 1.6× 92 0.5× 64 0.6× 191 4.2× 24 1.3× 59 462

Countries citing papers authored by Shirin Dora

Since Specialization
Citations

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

Fields of papers citing papers by Shirin Dora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirin Dora

This figure shows the co-authorship network connecting the top 25 collaborators of Shirin Dora. A scholar is included among the top collaborators of Shirin Dora 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 Shirin Dora. Shirin Dora 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.
Dora, Shirin, et al.. (2025). Optimisation of pulse waveforms for qubit gates using deep learning. Quantum Machine Intelligence. 7(2).
2.
Dora, Shirin, et al.. (2025). Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making. PLoS Computational Biology. 21(10). e1013559–e1013559.
3.
Qiu, Senhui, Saugat Bhattacharyya, Damien Coyle, & Shirin Dora. (2025). Deep predictive coding with bi-directional propagation for classification and reconstruction. Neural Networks. 191. 107785–107785.
4.
Li, Baihua, et al.. (2024). Stacking Ensemble Machine Learning Modelling for Milk Yield Prediction Based on Biological Characteristics and Feeding Strategies. SHILAP Revista de lepidopterología. 39. 701–706. 1 indexed citations
5.
Dora, Shirin, et al.. (2024). CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2274–2287. 8 indexed citations
6.
Lee, Kwangjun, Shirin Dora, Jorge F. Mejías, Sander M. Bohté, & Cyriel M. A. Pennartz. (2024). Predictive coding with spiking neurons and feedforward gist signaling. Frontiers in Computational Neuroscience. 18. 1338280–1338280. 3 indexed citations
7.
8.
Dora, Shirin, et al.. (2023). Learning to Classify Faster Using Spiking Neural Networks. 1–8. 2 indexed citations
9.
Dora, Shirin, et al.. (2022). Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. 2022 International Joint Conference on Neural Networks (IJCNN). 1–7. 2 indexed citations
10.
Dora, Shirin, Sander M. Bohté, & Cyriel M. A. Pennartz. (2021). Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy. Frontiers in Computational Neuroscience. 15. 666131–666131. 13 indexed citations
11.
Pearson, Martin J., Shirin Dora, Ben Mitchinson, et al.. (2021). Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers in Robotics and AI. 8. 732023–732023. 13 indexed citations
12.
Condell, Joan, et al.. (2021). State-of-the-Art Sensors for Remote Care of People with Dementia during a Pandemic: A Systematic Review. Sensors. 21(14). 4688–4688. 19 indexed citations
13.
Roy, Sujit, Shirin Dora, Karl McCreadie, & Girijesh Prasad. (2020). MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals. Research Explorer (The University of Manchester). 1–8. 23 indexed citations
14.
Dora, Shirin, et al.. (2020). Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. 1–7. 8 indexed citations
15.
Dora, Shirin, et al.. (2020). Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization. International Journal of Imaging Systems and Technology. 31(1). 106–117. 7 indexed citations
16.
Pennartz, Cyriel M. A., Shirin Dora, Lars Muckli, & Jeannette A. M. Lorteije. (2019). Towards a Unified View on Pathways and Functions of Neural Recurrent Processing. Trends in Neurosciences. 42(9). 589–603. 46 indexed citations
17.
Dora, Shirin, Suresh Sundaram, & N. Sundararajan. (2018). An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network. IEEE Transactions on Cybernetics. 49(3). 989–999. 26 indexed citations
18.
Dora, Shirin, Suresh Sundaram, & N. Sundararajan. (2015). A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. Ulster University Research Portal (Ulster University). 1–7. 23 indexed citations
19.
Dora, Shirin, Suresh Sundaram, & N. Sundararajan. (2015). A sequential learning algorithm for a spiking neural classifier. Applied Soft Computing. 36. 255–268. 9 indexed citations
20.
Dora, Shirin, Suresh Sundaram, & N. Sundararajan. (2014). A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. 76. 2415–2421. 8 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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