Jorge Samper‐Gonzàlez

1.3k total citations · 1 hit paper
10 papers, 667 citations indexed

About

Jorge Samper‐Gonzàlez is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Artificial Intelligence. According to data from OpenAlex, Jorge Samper‐Gonzàlez has authored 10 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 3 papers in Artificial Intelligence. Recurrent topics in Jorge Samper‐Gonzàlez's work include Functional Brain Connectivity Studies (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Machine Learning in Healthcare (3 papers). Jorge Samper‐Gonzàlez is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Machine Learning in Healthcare (3 papers). Jorge Samper‐Gonzàlez collaborates with scholars based in France, Germany and United Kingdom. Jorge Samper‐Gonzàlez's co-authors include Olivier Colliot, Simona Bottani, Ninon Burgos, Stanley Durrleman, Junhao Wen, Alexandre Routier, Didier Dormont, Elina Thibeau–Sutre, Anne Bertrand and Arnaud Marcoux and has published in prestigious journals such as NeuroImage, Scientific Reports and Schizophrenia Research.

In The Last Decade

Jorge Samper‐Gonzàlez

10 papers receiving 661 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.

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

2020 423 citations Junhao Wen, Elina Thibeau–Sutre et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Jorge Samper‐Gonzàlez

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Samper‐Gonzàlez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Samper‐Gonzàlez. 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 Jorge Samper‐Gonzàlez. The network helps show where Jorge Samper‐Gonzàlez may publish in the future.

Co-authorship network of co-authors of Jorge Samper‐Gonzàlez

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Anomaly detection for the individual analysis of brain PET images 2021 ·Journal of Medical Imaging ·Ninon Burgos, M. Jorge Cardoso, Jorge Samper‐Gonzàlez, Marie‐Odile Habert, Stanley Durrleman, Sébastien Ourselin, (unknown), (unknown), (unknown)	6
2	AD Course Map charts Alzheimer’s disease progression 2021 ·Scientific Reports ·Igor Koval, Alexandre Bône, (unknown), (unknown), Simona Bottani, Arnaud Marcoux, Jorge Samper‐Gonzàlez, Ninon Burgos, Benjamin Charlier, Anne Bertrand, Stéphane Epelbaum, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman	41
3	Clinica: an open source software platform for reproducible clinical neuroscience studies 2021 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Alexandre Routier, Ninon Burgos, (unknown), (unknown), Simona Bottani, (unknown), Sabrina Fontanella, Pietro Gori, Jérémy Guillon, (unknown), (unknown), (unknown), Pascal Lu, Arnaud Marcoux, T. Moreau, Jorge Samper‐Gonzàlez, (unknown), (unknown), (unknown), Junhao Wen, (unknown), (unknown), Stanley Durrleman, Olivier Colliot	7
4	Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease 2020 ·Neuroinformatics ·Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, Alexandre Routier, Ninon Burgos, (unknown), Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot, (unknown)	17
5	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation breakdown → 2020 ·Medical Image Analysis ·Junhao Wen, Elina Thibeau–Sutre, (unknown), Jorge Samper‐Gonzàlez, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot	423
6	Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps 2020 ·Journal of Neuroradiology ·(unknown), B. Marro, (unknown), Marion Houot, (unknown), Jorge Samper‐Gonzàlez, (unknown), Lionel Arrivé, Didier Dormont, Bruno Dubois, Marc Teichmann, (unknown), Olivier Colliot	25
7	Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data 2019 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Jorge Samper‐Gonzàlez, Ninon Burgos, Simona Bottani, (unknown), Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot	7
8	Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data 2018 ·NeuroImage ·Jorge Samper‐Gonzàlez, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, (unknown), Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot	113
9	An Automated Pipeline for the Analysis of PET Data on the Cortical Surface 2018 ·Frontiers in Neuroinformatics ·Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, Stanley Durrleman, Marie‐Odile Habert, Olivier Colliot, (unknown)	10
10	Basic visual dysfunction allows classification of patients with schizophrenia with exceptional accuracy 2014 ·Schizophrenia Research ·J.A. González-Hernández, (unknown), (unknown), (unknown), L. Galán, E. Martínez García, Lourdes Dı́az-Comas, Jorge Samper‐Gonzàlez, Rebekka Lencer, (unknown)	18

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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