Guillaume Bonnier

1.3k total citations
34 papers, 879 citations indexed

About

Guillaume Bonnier is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Guillaume Bonnier has authored 34 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 15 papers in Biomedical Engineering and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Guillaume Bonnier's work include Non-Invasive Vital Sign Monitoring (13 papers), Multiple Sclerosis Research Studies (11 papers) and Blood Pressure and Hypertension Studies (9 papers). Guillaume Bonnier is often cited by papers focused on Non-Invasive Vital Sign Monitoring (13 papers), Multiple Sclerosis Research Studies (11 papers) and Blood Pressure and Hypertension Studies (9 papers). Guillaume Bonnier collaborates with scholars based in Switzerland, United States and Germany. Guillaume Bonnier's co-authors include Cristina Granziera, Gunnar Krueger, Renaud Du Pasquier, Myriam Schluep, Mathieu Lemay, Martin Proença, Jean‐Philippe Thiran, Alexis Roche, Jens Kühle and Tobias Derfuß and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Guillaume Bonnier

33 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Bonnier Switzerland 16 359 209 175 169 162 34 879
Arnaud Le Troter France 25 193 0.5× 556 2.7× 86 0.5× 193 1.1× 77 0.5× 61 1.3k
Annika Reynberg Langkilde Denmark 17 381 1.1× 118 0.6× 180 1.0× 41 0.2× 99 0.6× 46 1.0k
Patrick J. H. de Koning Netherlands 14 148 0.4× 197 0.9× 201 1.1× 64 0.4× 365 2.3× 27 820
Michael Amann Switzerland 21 787 2.2× 344 1.6× 124 0.7× 57 0.3× 188 1.2× 60 1.5k
Daniela Pinter Austria 19 303 0.8× 179 0.9× 61 0.3× 46 0.3× 167 1.0× 62 1.1k
G.P. Pelliccioli Italy 15 272 0.8× 303 1.4× 60 0.3× 56 0.3× 114 0.7× 33 892
Ravish Kapoor United States 20 754 2.1× 236 1.1× 72 0.4× 67 0.4× 47 0.3× 58 1.3k
Tomáš Uher Czechia 23 866 2.4× 170 0.8× 53 0.3× 51 0.3× 79 0.5× 81 1.3k
Emanuele Pravatà Switzerland 17 350 1.0× 232 1.1× 25 0.1× 77 0.5× 126 0.8× 52 989

Countries citing papers authored by Guillaume Bonnier

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Bonnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Bonnier

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Bonnier. A scholar is included among the top collaborators of Guillaume Bonnier 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 Guillaume Bonnier. Guillaume Bonnier 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.
Jorge, João, et al.. (2023). Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning. PLoS ONE. 18(2). e0279419–e0279419. 7 indexed citations
2.
Proença, Martin, Guillaume Bonnier, Rodrigo Soria, et al.. (2023). Method-comparison study between a watch-like sensor and a cuff-based device for 24-h ambulatory blood pressure monitoring. Scientific Reports. 13(1). 6149–6149. 5 indexed citations
3.
Proença, Martin, et al.. (2022). Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. Computing in cardiology. 2 indexed citations
4.
Proença, Martin, Guillaume Bonnier, Alia Lemkaddem, et al.. (2022). A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter. Journal of Clinical Monitoring and Computing. 37(1). 249–259. 12 indexed citations
5.
Braun, Fabian, Guillaume Bonnier, M Rapin, et al.. (2022). Evaluation of a Wearable System for Fetal ECG Monitoring Using Cooperative Sensors. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3131–3134. 3 indexed citations
6.
Fischi-Gómez, Elda, Guillaume Bonnier, Noreen Ward, Cristina Granziera, & Nouchine Hadjikhani. (2021). Ultrahigh field in vivo characterization of microstructural abnormalities in the orbitofrontal cortex and amygdala in autism. European Journal of Neuroscience. 54(6). 6229–6236. 3 indexed citations
7.
Proença, Martin, Guillaume Bonnier, Alia Lemkaddem, et al.. (2021). Smartphone based blood pressure measurement: accuracy of the OptiBP mobile application according to the AAMI/ESH/ISO universal validation protocol. Blood Pressure Monitoring. 26(6). 441–448. 28 indexed citations
8.
Jorge, João, Martin Proença, Guillaume Bonnier, et al.. (2020). Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. PubMed. 130. 910–913. 6 indexed citations
9.
Hadjikhani, Nouchine, Daniel Albrecht, Caterina Mainero, et al.. (2020). Extra‐Axial Inflammatory Signal in Parameninges in Migraine with Visual Aura. Annals of Neurology. 87(6). 939–949. 78 indexed citations
10.
Schoettker, Patrick, Martin Proença, Guillaume Bonnier, et al.. (2020). Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements. Scientific Reports. 10(1). 17827–17827. 45 indexed citations
11.
Lu, Po‐Jui, Mário João Fartaria, Guillaume Bonnier, et al.. (2020). Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes. Frontiers in Neurology. 11. 973–973. 11 indexed citations
12.
Bazin, Pierre‐Louis, Kieran O’Brien, Mário João Fartaria, et al.. (2018). Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI. NeuroImage. 172. 1–8. 14 indexed citations
13.
Bonnier, Guillaume, Elda Fischi-Gómez, Alexis Roche, et al.. (2018). Personalized pathology maps to quantify diffuse and focal brain damage. NeuroImage Clinical. 21. 101607–101607. 9 indexed citations
14.
15.
Kühle, Jens, Christian Barro, Giulio Disanto, et al.. (2016). Serum neurofilament light chain in early relapsing remitting MS is increased and correlates with CSF levels and with MRI measures of disease severity. Multiple Sclerosis Journal. 22(12). 1550–1559. 192 indexed citations
16.
Fartaria, Mário João, Kieran O’Brien, Guillaume Bonnier, et al.. (2016). An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE. Investigative Radiology. 52(5). 265–273. 15 indexed citations
17.
Bonnier, Guillaume, Tobias Kober, Myriam Schluep, et al.. (2016). A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation. PLoS ONE. 11(2). e0148631–e0148631. 6 indexed citations
18.
Bonnier, Guillaume, Alexis Roche, David Romascano, et al.. (2015). Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis. BioMed Research International. 2015. 1–9. 17 indexed citations
19.
Granziera, Cristina, Alessandro Daducci, Alessia Donati, et al.. (2015). A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment. NeuroImage Clinical. 8. 631–639. 20 indexed citations
20.
Romascano, David, Djalel‐Eddine Meskaldji, Guillaume Bonnier, et al.. (2014). Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing‐remitting multiple sclerosis. Human Brain Mapping. 36(4). 1609–1619. 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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