Maryam Doborjeh

1.4k total citations · 1 hit paper
41 papers, 752 citations indexed

About

Maryam Doborjeh is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Maryam Doborjeh has authored 41 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 16 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Maryam Doborjeh's work include Neural dynamics and brain function (18 papers), EEG and Brain-Computer Interfaces (17 papers) and Advanced Memory and Neural Computing (16 papers). Maryam Doborjeh is often cited by papers focused on Neural dynamics and brain function (18 papers), EEG and Brain-Computer Interfaces (17 papers) and Advanced Memory and Neural Computing (16 papers). Maryam Doborjeh collaborates with scholars based in New Zealand, United Kingdom and Singapore. Maryam Doborjeh's co-authors include Nikola Kasabov, Zohreh Doborjeh, Nigel Hemmington, Grace Wang, Alexander Sumich, Jie Yang, Lei Zhou, Elisa Capecci, Grant D. Searchfield and Robert R. Kydd and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Maryam Doborjeh

38 papers receiving 727 citations

Hit Papers

Artificial intelligence: a systematic review of methods a... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Artificial intelligence: a systematic review of methods and applications in hospitality and tourism
    2021 169 citations Zohreh Doborjeh, Maryam Doborjeh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Doborjeh New Zealand 15 391 251 234 121 56 41 752
Zohreh Doborjeh New Zealand 14 287 0.7× 142 0.6× 168 0.7× 121 1.0× 63 1.1× 34 610
Khondaker A. Mamun Bangladesh 15 296 0.8× 50 0.2× 86 0.4× 20 0.2× 23 0.4× 80 780
Christoforos Christoforou Cyprus 12 321 0.8× 45 0.2× 44 0.2× 21 0.2× 17 0.3× 35 561
Kambiz Badie Iran 14 403 1.0× 40 0.2× 205 0.9× 17 0.1× 11 0.2× 98 938
Sangin Park South Korea 15 271 0.7× 25 0.1× 25 0.1× 34 0.3× 9 0.2× 59 839
Meng Yang China 11 106 0.3× 213 0.8× 32 0.1× 34 0.3× 15 0.3× 74 728
Haifeng Li China 14 152 0.4× 18 0.1× 149 0.6× 34 0.3× 4 0.1× 94 709

Countries citing papers authored by Maryam Doborjeh

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Doborjeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Doborjeh

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Doborjeh. A scholar is included among the top collaborators of Maryam Doborjeh 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 Maryam Doborjeh. Maryam Doborjeh 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.
Searchfield, Grant D., Divya Bharatkumar Adhia, Dirk De Ridder, et al.. (2024). A scoping review of tinnitus research undertaken by New Zealand researchers: Aotearoa–an international hotspot for tinnitus innovation and collaboration. Journal of the Royal Society of New Zealand. 55(3). 466–500. 1 indexed citations
2.
Doborjeh, Zohreh, Oleg N. Medvedev, Maryam Doborjeh, et al.. (2024). A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosis. SHILAP Revista de lepidopterología. 10(1). 87–87.
3.
Doborjeh, Maryam, et al.. (2024). Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge. Electronics. 13(15). 3030–3030.
4.
Doborjeh, Maryam, Xiaoxu Liu, Zohreh Doborjeh, et al.. (2023). Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning. Sensors. 23(2). 902–902. 17 indexed citations
5.
Doborjeh, Maryam, Zohreh Doborjeh, Edmund Lai, et al.. (2023). Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. Briefings in Bioinformatics. 24(6). 6 indexed citations
6.
7.
Kasabov, Nikola, et al.. (2023). Brain-Inspired Spatio-Temporal Associative Memories for Neuroimaging Data Classification: EEG and fMRI. Bioengineering. 10(12). 1341–1341. 3 indexed citations
8.
Yee, Jie Yin, Zohreh Doborjeh, Maryam Doborjeh, et al.. (2023). RNA-sequencing of peripheral whole blood of individuals at ultra-high-risk for psychosis – A longitudinal perspective. Asian Journal of Psychiatry. 89. 103796–103796. 1 indexed citations
9.
Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2021). Personalised Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cognitive Computation. 1–32. 1 indexed citations
10.
Doborjeh, Maryam, et al.. (2021). Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. Sensors. 21(14). 4900–4900. 12 indexed citations
11.
Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2021). Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks. 144. 522–539. 19 indexed citations
12.
Doborjeh, Zohreh, et al.. (2021). Prediction of Acoustic Residual Inhibition of Tinnitus Using a Brain-Inspired Spiking Neural Network Model. Brain Sciences. 11(1). 52–52. 14 indexed citations
13.
Doborjeh, Zohreh, Maryam Doborjeh, Grace Wang, et al.. (2020). Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors. 20(24). 7354–7354. 14 indexed citations
14.
Durai, Mithila, et al.. (2020). Prediction of tinnitus masking benefit within a case series using a spiking neural network model. Progress in brain research. 260. 129–165. 10 indexed citations
15.
Doborjeh, Zohreh, Maryam Doborjeh, Nikola Kasabov, et al.. (2019). Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain. Scientific Reports. 9(1). 6367–6367. 33 indexed citations
16.
Doborjeh, Maryam, et al.. (2019). Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks. 119. 162–177. 9 indexed citations
17.
Merkin, Alexander, Oleg N. Medvedev, Perminder S. Sachdev, et al.. (2019). New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment. Journal of Affective Disorders. 264. 7–14. 8 indexed citations
18.
Doborjeh, Maryam & Nikola Kasabov. (2016). Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. Tuwhera (Auckland University of Technology). 1373–1378. 5 indexed citations
19.
Kasabov, Nikola, Enmei Tu, Stefan Marks, et al.. (2015). Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks. 78. 1–14. 107 indexed citations
20.
Doborjeh, Maryam, Elisa Capecci, & Nikola Kasabov. (2014). Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. Tuwhera (Auckland University of Technology). 73–80. 16 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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