Bahman Mirheidari

659 total citations
30 papers, 438 citations indexed

About

Bahman Mirheidari is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Bahman Mirheidari has authored 30 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Cognitive Neuroscience and 5 papers in Psychiatry and Mental health. Recurrent topics in Bahman Mirheidari's work include Neurobiology of Language and Bilingualism (7 papers), Speech and dialogue systems (5 papers) and Topic Modeling (5 papers). Bahman Mirheidari is often cited by papers focused on Neurobiology of Language and Bilingualism (7 papers), Speech and dialogue systems (5 papers) and Topic Modeling (5 papers). Bahman Mirheidari collaborates with scholars based in United Kingdom, Saudi Arabia and Italy. Bahman Mirheidari's co-authors include Heidi Christensen, D. Blackburn, Markus Reuber, Traci Walker, Annalena Venneri, Kirsty Harkness, Luc de Witte, Scott Weich, Mark Hawley and Daniel Wolstenholme and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Bahman Mirheidari

28 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bahman Mirheidari United Kingdom 13 210 132 117 77 54 30 438
Sofia de la Fuente García United Kingdom 7 184 0.9× 117 0.9× 112 1.0× 84 1.1× 65 1.2× 13 407
Maria Yancheva Canada 8 145 0.7× 89 0.7× 88 0.8× 50 0.6× 115 2.1× 14 371
Meysam Asgari United States 12 226 1.1× 119 0.9× 174 1.5× 119 1.5× 151 2.8× 37 548
Orith Toledo‐Ronen Israel 8 184 0.9× 135 1.0× 131 1.1× 58 0.8× 73 1.4× 17 440
Nicklas Linz France 12 71 0.3× 177 1.3× 145 1.2× 81 1.1× 50 0.9× 44 350
Jian Cheng United States 13 256 1.2× 75 0.6× 97 0.8× 131 1.7× 15 0.3× 24 484
Gréta Szatlóczki Hungary 6 176 0.8× 217 1.6× 212 1.8× 81 1.1× 109 2.0× 9 474
Jekaterina Novikova United Kingdom 10 224 1.1× 61 0.5× 63 0.5× 48 0.6× 25 0.5× 25 381
Nora Barroso Spain 8 161 0.8× 92 0.7× 116 1.0× 88 1.1× 100 1.9× 24 406
Juan José García Meilán Spain 15 135 0.6× 270 2.0× 310 2.6× 165 2.1× 210 3.9× 45 726

Countries citing papers authored by Bahman Mirheidari

Since Specialization
Citations

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

Fields of papers citing papers by Bahman Mirheidari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahman Mirheidari

This figure shows the co-authorship network connecting the top 25 collaborators of Bahman Mirheidari. A scholar is included among the top collaborators of Bahman Mirheidari 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 Bahman Mirheidari. Bahman Mirheidari 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.
Pan, Yilin, Bahman Mirheidari, D. Blackburn, & Heidi Christensen. (2025). A Two-Step Attention-Based Feature Combination Cross-Attention System for Speech-Based Dementia Detection. IEEE Transactions on Audio Speech and Language Processing. 33. 896–907.
2.
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Walker, Gareth, Traci Walker, Bahman Mirheidari, et al.. (2023). Features of answers to questions about recent events by people with mild cognitive impairment and Alzheimer's disease, and healthy controls. 14(3). 408–429. 1 indexed citations
4.
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Mirheidari, Bahman, D. Blackburn, & Heidi Christensen. (2022). Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores. Interspeech 2022. 2463–2467. 3 indexed citations
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Mirheidari, Bahman, et al.. (2021). Characterising spoken interactions of healthy ageing adults with CognoSpeak, a web‐based cognitive assessment tool. Alzheimer s & Dementia. 17(S5). 1 indexed citations
8.
Mirheidari, Bahman, et al.. (2021). Identifying Cognitive Impairment Using Sentence Representation Vectors. 2941–2945. 6 indexed citations
9.
Mirheidari, Bahman, et al.. (2020). Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction. Zenodo (CERN European Organization for Nuclear Research). 4961–4965. 15 indexed citations
10.
Walker, Traci, Bahman Mirheidari, Heidi Christensen, et al.. (2020). A fully automated cognitive screening tool based on assessment of speech and language. Alzheimer s & Dementia. 16(S6). 2 indexed citations
11.
Mirheidari, Bahman, Kirsty Harkness, Traci Walker, et al.. (2020). A fully automated cognitive screening tool based on assessment of speech and language (5548). Neurology. 94(15_supplement). 1 indexed citations
12.
Mirheidari, Bahman, Kirsty Harkness, Markus Reuber, et al.. (2020). Fully automated cognitive screening tool based on assessment of speech and language. Journal of Neurology Neurosurgery & Psychiatry. 92(1). 12–15. 25 indexed citations
13.
Mirheidari, Bahman, Traci Walker, Annalena Venneri, et al.. (2020). Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification. Zenodo (CERN European Organization for Nuclear Research). 4806–4810. 13 indexed citations
14.
Easton, Katherine, Stephen Potter, Heidi Christensen, et al.. (2019). A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing. Journal of Medical Internet Research. 21(5). e12996–e12996. 56 indexed citations
15.
Benaissa, Mohammed, et al.. (2019). A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints. PLoS ONE. 14(5). e0217388–e0217388. 27 indexed citations
16.
Mirheidari, Bahman, et al.. (2019). Automatic Hierarchical Attention Neural Network for Detecting AD. Zenodo (CERN European Organization for Nuclear Research). 4105–4109. 28 indexed citations
17.
Mirheidari, Bahman, D. Blackburn, Traci Walker, et al.. (2019). Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia. 2732–2736. 21 indexed citations
18.
Mirheidari, Bahman, D. Blackburn, Traci Walker, Markus Reuber, & Heidi Christensen. (2018). Dementia detection using automatic analysis of conversations. Computer Speech & Language. 53. 65–79. 57 indexed citations
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20.
Mirheidari, Bahman, D. Blackburn, Traci Walker, et al.. (2018). Detecting Signs of Dementia Using Word Vector Representations. 1893–1897. 38 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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