Amirali Vahid

508 total citations
14 papers, 389 citations indexed

About

Amirali Vahid is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Amirali Vahid has authored 14 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Amirali Vahid's work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (7 papers) and Neural and Behavioral Psychology Studies (6 papers). Amirali Vahid is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (7 papers) and Neural and Behavioral Psychology Studies (6 papers). Amirali Vahid collaborates with scholars based in Germany, Iran and United States. Amirali Vahid's co-authors include Christian Beste, Ann‐Kathrin Stock, Moritz Mückschel, Andres H. Neuhaus, Sebastian Stober, Annet Bluschke, Veit Roessner, Julia Martini, Amir Arbabi and Pavol Mikoláš and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cerebral Cortex.

In The Last Decade

Amirali Vahid

13 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amirali Vahid Germany 7 217 81 36 34 28 14 389
Xinting Ge China 12 127 0.6× 33 0.4× 28 0.8× 19 0.6× 15 0.5× 31 372
Fatemeh Hasanzadeh Iran 7 183 0.8× 14 0.2× 29 0.8× 20 0.6× 26 0.9× 16 278
Xingyu Wang China 8 112 0.5× 15 0.2× 37 1.0× 26 0.8× 19 0.7× 52 297
Xiaobin Zhang China 10 203 0.9× 46 0.6× 10 0.3× 27 0.8× 9 0.3× 29 351
Natalia Shusharina Russia 9 119 0.5× 18 0.2× 38 1.1× 26 0.8× 11 0.4× 41 243
Chiara F. Tagliabue Italy 9 399 1.8× 33 0.4× 21 0.6× 22 0.6× 13 0.5× 21 536
Yizhou Ma United States 9 72 0.3× 33 0.4× 38 1.1× 57 1.7× 10 0.4× 38 320
Zarrin K. Chua United States 6 105 0.5× 9 0.1× 82 2.3× 34 1.0× 59 2.1× 20 440

Countries citing papers authored by Amirali Vahid

Since Specialization
Citations

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

Fields of papers citing papers by Amirali Vahid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirali Vahid

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

All Works

14 of 14 papers shown
1.
Vahid, Amirali, et al.. (2025). Mapping amyloid beta predictors of entorhinal tau in preclinical Alzheimer's disease. Alzheimer s & Dementia. 21(2). e14499–e14499. 1 indexed citations
2.
3.
Mikoláš, Pavol, Amirali Vahid, Fabio Bernardoni, et al.. (2022). Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records. Scientific Reports. 12(1). 12934–12934. 21 indexed citations
4.
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Vahid, Amirali, Moritz Mückschel, Sebastian Stober, Ann‐Kathrin Stock, & Christian Beste. (2022). Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level. Communications Biology. 5(1). 148–148. 14 indexed citations
6.
Vahid, Amirali, Ann‐Kathrin Stock, Moritz Mückschel, & Christian Beste. (2022). On the relative importance of attention and response selection processes for multi-component behavior – Evidence from EEG-based deep learning. SHILAP Revista de lepidopterología. 2(3). 100118–100118. 2 indexed citations
7.
Vahid, Amirali, Moritz Mückschel, Sebastian Stober, Ann‐Kathrin Stock, & Christian Beste. (2020). Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control. Communications Biology. 3(1). 112–112. 64 indexed citations
8.
Vahid, Amirali, et al.. (2019). The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts. Frontiers in Human Neuroscience. 13. 53–53. 7 indexed citations
9.
Vahid, Amirali, Annet Bluschke, Veit Roessner, Sebastian Stober, & Christian Beste. (2019). Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls. Journal of Clinical Medicine. 8(7). 1055–1055. 84 indexed citations
10.
Zink, Nicolas, Ann‐Kathrin Stock, Amirali Vahid, & Christian Beste. (2018). On the Neurophysiological Mechanisms Underlying the Adaptability to Varying Cognitive Control Demands. Frontiers in Human Neuroscience. 12. 411–411. 6 indexed citations
11.
Vahid, Amirali, Moritz Mückschel, Andres H. Neuhaus, Ann‐Kathrin Stock, & Christian Beste. (2018). Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses. Scientific Reports. 8(1). 16235–16235. 172 indexed citations
12.
Vahid, Amirali & Amir Arbabi. (2016). Human identification with EEG signals in different emotional states. 242–246. 5 indexed citations
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14.
Vahid, Amirali, et al.. (2016). Recognizing subjects who are learned how to write with foot from unlearned subjects using EMG signals. 57. 331–335. 4 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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Breakdown of academic impact, for papers by Xinting Ge Breakdown of academic impact, for papers by Fatemeh Hasanzadeh Breakdown of academic impact, for papers by Xingyu Wang Breakdown of academic impact, for papers by Xiaobin Zhang Breakdown of academic impact, for papers by Natalia Shusharina Breakdown of academic impact, for papers by Chiara F. Tagliabue Breakdown of academic impact, for papers by Yizhou Ma Breakdown of academic impact, for papers by Zarrin K. Chua
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2026