Joachim Giard

924 total citations · 1 hit paper
11 papers, 416 citations indexed

About

Joachim Giard is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Joachim Giard has authored 11 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Joachim Giard's work include Functional Brain Connectivity Studies (4 papers), Protein Structure and Dynamics (3 papers) and Medical Image Segmentation Techniques (2 papers). Joachim Giard is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Protein Structure and Dynamics (3 papers) and Medical Image Segmentation Techniques (2 papers). Joachim Giard collaborates with scholars based in Belgium and United States. Joachim Giard's co-authors include Forrest Sheng Bao, Arno Klein, Satrajit Ghosh, Eliezer Stavsky, Yrjö Häme, Noah Lee, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan and Benoît Macq and has published in prestigious journals such as BMC Bioinformatics, PLoS Computational Biology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Joachim Giard

10 papers receiving 411 citations

Hit Papers

Mindboggling morphometry of human brains 2017 2026 2020 2023 2017 100 200 300

Peers

Joachim Giard
Yrjö Häme United States
Kristina Denisova United States
Ann M. Skoczenski United States
Velitchko Manahilov United Kingdom
Min Lü China
Elio M. Santos United States
A. Simmons United Kingdom
Joachim Giard
Citations per year, relative to Joachim Giard Joachim Giard (= 1×) peers Vadim Ushakov

Countries citing papers authored by Joachim Giard

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Giard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Giard

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

All Works

11 of 11 papers shown
1.
Klein, Arno, Satrajit Ghosh, Forrest Sheng Bao, et al.. (2017). Mindboggling morphometry of human brains. PLoS Computational Biology. 13(2). e1005350–e1005350. 378 indexed citations breakdown →
2.
Bao, Forrest Sheng, Joachim Giard, Jason A. Tourville, & Arno Klein. (2012). Automated extraction of nested sulcus features from human brain MRI data. PubMed. 2012. 4429–4433.
3.
Klein, Arno, Forrest Sheng Bao, Yrjö Häme, et al.. (2012). Mindboggle: automated human brain MRI feature extraction, labeling, morphometry, and online visualization. 3. 2 indexed citations
4.
Ambroise, Jérôme, et al.. (2011). Identification of Relevant Properties for Epitopes Detection Using a Regression Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(6). 1700–1707. 5 indexed citations
5.
Darazi, Rony, et al.. (2011). Feature point-based 3D mesh watermarking that withstands the cropping attack. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7880. 78800A–78800A. 1 indexed citations
6.
Bao, Forrest Sheng, Satrajit Ghosh, Joachim Giard, Ramin V. Parsey, & Arno Klein. (2011). Brain shape analysis for predicting treatment remission in major depressive disorder. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
7.
Giard, Joachim & Benoît Macq. (2010). Molecular Surface Mesh Generation by Filtering Electron Density Map. International Journal of Biomedical Imaging. 2010(1). 923780–923780. 11 indexed citations
8.
Giard, Joachim, Jérôme Ambroise, Jean‐Luc Gala, & Benoı̂t Macq. (2009). Regression applied to protein binding site prediction and comparison with classification. BMC Bioinformatics. 10(1). 276–276. 5 indexed citations
9.
Giard, Joachim & Benoît Macq. (2009). From Mesh Parameterization to Geodesic Distance Estimation. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
10.
Giard, Joachim & Benoît Macq. (2009). Fast geodesic distance approximation using mesh decimation and front propagation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7245. 72450B–72450B. 3 indexed citations
11.
Giard, Joachim, Patrice Rondão Alface, & Benoît Macq. (2008). Fast and accurate travel depth estimation for protein active site prediction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6812. 68120Q–68120Q. 2 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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