Alexandre Boutet

5.6k total citations · 3 hit papers
99 papers, 3.2k citations indexed

About

Alexandre Boutet is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Alexandre Boutet has authored 99 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Neurology, 35 papers in Radiology, Nuclear Medicine and Imaging and 34 papers in Cognitive Neuroscience. Recurrent topics in Alexandre Boutet's work include Neurological disorders and treatments (70 papers), Functional Brain Connectivity Studies (27 papers) and Parkinson's Disease Mechanisms and Treatments (25 papers). Alexandre Boutet is often cited by papers focused on Neurological disorders and treatments (70 papers), Functional Brain Connectivity Studies (27 papers) and Parkinson's Disease Mechanisms and Treatments (25 papers). Alexandre Boutet collaborates with scholars based in Canada, United States and Germany. Alexandre Boutet's co-authors include Andrés M. Lozano, Gavin J.B. Elias, Jürgen Germann, Nir Lipsman, Kullervo Hynynen, Alfonso Fasano, Yuexi Huang, Aaron Loh, Ying Meng and Walter Kucharczyk and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Alexandre Boutet

91 papers receiving 3.2k citations

Hit 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.

Blood–brain barrier opening in Alzheimer’s disease using MR-guided focused ultrasound

2018 666 citations Alexandre Boutet et al. Nature Communications profile →
Technology of deep brain stimulation: current status and future directions

2020 517 citations Alexandre Boutet, Benjamin Davidson et al. profile →
Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning

2021 184 citations Alexandre Boutet, Radhika Madhavan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexandre Boutet Canada	28	1.7k	1.0k	902	826	728	99	3.2k
Carine Karachi France	31	1.9k 1.1×	1.0k 1.0×	507 0.6×	626 0.8×	750 1.0×	77	3.5k
Kendall H. Lee United States	44	2.5k 1.5×	2.7k 2.6×	531 0.6×	581 0.7×	1.2k 1.6×	175	5.7k
Aki Laakso Finland	38	2.3k 1.4×	1.3k 1.2×	471 0.5×	507 0.6×	591 0.8×	114	5.6k
In‐Uk Song South Korea	25	1.0k 0.6×	394 0.4×	538 0.6×	719 0.9×	491 0.7×	137	2.7k
Oren Sagher United States	32	1.4k 0.8×	550 0.5×	276 0.3×	662 0.8×	585 0.8×	85	4.0k
José A. Pineda‐Pardo Spain	26	734 0.4×	361 0.3×	540 0.6×	404 0.5×	691 0.9×	69	1.9k
Benjamin Davidson Canada	22	772 0.5×	485 0.5×	384 0.4×	526 0.6×	274 0.4×	74	1.8k
Binit Shah United States	20	1.4k 0.9×	670 0.6×	842 0.9×	671 0.8×	139 0.2×	43	2.3k
Adrian W. Laxton United States	34	1.2k 0.7×	913 0.9×	310 0.3×	328 0.4×	897 1.2×	120	4.0k
Madaline B. Harrison United States	22	1.2k 0.7×	984 0.9×	564 0.6×	498 0.6×	207 0.3×	55	2.4k

Countries citing papers authored by Alexandre Boutet

Since Specialization

Citations

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

Fields of papers citing papers by Alexandre Boutet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Boutet

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

All Works

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20 of 20 papers shown

Yang, Andrew, James MacKillop, Alexandre Boutet, et al.. (2025). Deep Brain Stimulation for Substance Use Disorder: Case Report of Fentanyl Use Disorder and Review of the Literature. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 53(1). 139–142.

Elias, Gavin J.B., Michelle E. Beyn, Sakina J. Rizvi, et al.. (2025). Fluorodeoxyglucose–Positron Emission Tomography as a Preoperative Biomarker for Predicting and Optimizing Response to Subcallosal Cingulate Area Deep Brain Stimulation. Biological Psychiatry. 99(3). 210–217.

Santyr, Brendan, et al.. (2024). P.078 fMRI-based deep brain stimulation programming: a blinded, crossover clinical trial. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(s1). S37–S38.

Boutet, Alexandre, Andrew Yang, Vivek Pai, et al.. (2024). Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology. American Journal of Neuroradiology. 45(9). 1269–1275. 4 indexed citations

Elias, Gavin J.B., Jürgen Germann, Suresh E. Joel, et al.. (2024). A large normative connectome for exploring the tractographic correlates of focal brain interventions. Scientific Data. 11(1). 353–353. 10 indexed citations

Karigiannis, John, Jürgen Germann, Brendan Santyr, et al.. (2024). Deep Learning and fMRI-Based Pipeline for Optimization of Deep Brain Stimulation During Parkinson’s Disease Treatment: Toward Rapid Semi-Automated Stimulation Optimization. IEEE Journal of Translational Engineering in Health and Medicine. 12. 589–599. 5 indexed citations

Vetkas, Artur, Jürgen Germann, Alexandre Boutet, et al.. (2023). Laser interstitial thermal therapy for the treatment of insular lesions: A systematic review. Frontiers in Neurology. 13. 1024075–1024075. 7 indexed citations

Elias, Gavin J.B., Jürgen Germann, Alexandre Boutet, et al.. (2023). Local neuroanatomical and tract-based proxies of optimal subcallosal cingulate deep brain stimulation. Brain stimulation. 16(5). 1259–1272. 7 indexed citations

Scherer, Maximilian, Irene E. Harmsen, Nardin Samuel, et al.. (2023). Oscillatory network markers of subcallosal cingulate deep brain stimulation for depression. Brain stimulation. 16(6). 1764–1775. 4 indexed citations

10.

Vetkas, Artur, Jürgen Germann, Gavin J.B. Elias, et al.. (2022). Identifying the neural network for neuromodulation in epilepsy through connectomics and graphs. Brain Communications. 4(3). fcac092–fcac092. 20 indexed citations

11.

Loh, Aaron, Gavin J.B. Elias, Jürgen Germann, et al.. (2022). Neural Correlates of Optimal Deep Brain Stimulation for Cervical Dystonia. Annals of Neurology. 92(3). 418–424. 11 indexed citations

12.

Elias, Gavin J.B., Jürgen Germann, Clemens Neudorfer, et al.. (2021). Impact of Mesial Temporal Lobe Resection on Brain Structure in Medically Refractory Epilepsy. World Neurosurgery. 152. e652–e665. 3 indexed citations

13.

Elias, Gavin J.B., Jürgen Germann, Alexandre Boutet, et al.. (2021). Structuro-functional surrogates of response to subcallosal cingulate deep brain stimulation for depression. Brain. 145(1). 362–377. 27 indexed citations

14.

Elias, Gavin J.B., Jürgen Germann, Alexandre Boutet, et al.. (2021). 3T MRI of rapid brain activity changes driven by subcallosal cingulate deep brain stimulation. Brain. 145(6). 2214–2226. 28 indexed citations

15.

Elias, Gavin J.B., Aaron Loh, Dave Gwun, et al.. (2020). Deep brain stimulation of the brainstem. Brain. 144(3). 712–723. 30 indexed citations

16.

Li, Ningfei, Juan Carlos Baldermann, Astrid Kibleur, et al.. (2020). A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder. Nature Communications. 11(1). 3364–3364. 195 indexed citations

17.

Boutet, Alexandre, Clement T. Chow, Gavin J.B. Elias, et al.. (2020). Improving Safety of MRI in Patients with Deep Brain Stimulation Devices. Radiology. 296(2). 250–262. 35 indexed citations

18.

Elias, Gavin J.B., Peter Giacobbe, Alexandre Boutet, et al.. (2019). Probing the circuitry of panic with deep brain stimulation: Connectomic analysis and review of the literature. Brain stimulation. 13(1). 10–14. 19 indexed citations

19.

Mithani, Karim, Alexandre Boutet, Jürgen Germann, et al.. (2019). Lesion Network Localization of Seizure Freedom following MR-guided Laser Interstitial Thermal Ablation. Scientific Reports. 9(1). 18598–18598. 18 indexed citations

20.

Shanbhag, Dattesh, Desmond Yeo, Thomas Foo, et al.. (2019). A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations. American Journal of Neuroradiology. 40(2). 217–223. 29 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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