Alan Tucholka

2.2k total citations
41 papers, 1.5k citations indexed

About

Alan Tucholka is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Alan Tucholka has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Psychiatry and Mental health. Recurrent topics in Alan Tucholka's work include Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Alzheimer's disease research and treatments (8 papers). Alan Tucholka is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Alzheimer's disease research and treatments (8 papers). Alan Tucholka collaborates with scholars based in Spain, Canada and France. Alan Tucholka's co-authors include Guillaume Gilbert, Jimmy Ghaziri, José Luís Molinuevo, Carles Falcón, Juan Domingo Gispert, Jean‐François Mangin, Dang Khoa Nguyen, Maxime Descoteaux, Olivier Boucher and Gabriel Girard and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Alan Tucholka

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Tucholka Spain 20 820 386 357 202 200 41 1.5k
Rüdiger Ilg Germany 17 945 1.2× 577 1.5× 321 0.9× 285 1.4× 125 0.6× 31 2.1k
Min Tae M Park Canada 21 773 0.9× 409 1.1× 346 1.0× 218 1.1× 189 0.9× 41 1.8k
Uicheul Yoon South Korea 26 842 1.0× 662 1.7× 410 1.1× 278 1.4× 215 1.1× 64 1.9k
Bram B. Zandbelt Netherlands 23 1.3k 1.6× 277 0.7× 353 1.0× 220 1.1× 135 0.7× 30 1.8k
Maria A. Di Biase Australia 19 561 0.7× 469 1.2× 294 0.8× 181 0.9× 97 0.5× 47 1.3k
Pei‐Chi Tu Taiwan 19 809 1.0× 271 0.7× 449 1.3× 161 0.8× 237 1.2× 59 1.7k
Jon Pipitone Canada 16 599 0.7× 422 1.1× 346 1.0× 149 0.7× 164 0.8× 24 1.3k
H Hahn Germany 5 953 1.2× 645 1.7× 478 1.3× 206 1.0× 169 0.8× 6 1.8k
Crystal Franklin United States 18 535 0.7× 212 0.5× 207 0.6× 153 0.8× 218 1.1× 38 1.3k
Diana Rosas United States 7 739 0.9× 558 1.4× 410 1.1× 105 0.5× 181 0.9× 7 1.5k

Countries citing papers authored by Alan Tucholka

Since Specialization
Citations

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

Fields of papers citing papers by Alan Tucholka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Tucholka

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Tucholka. A scholar is included among the top collaborators of Alan Tucholka 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 Alan Tucholka. Alan Tucholka 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.
Roca, Pauline, Alan Tucholka, Florence Forbes, et al.. (2022). Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images. Frontiers in Neurology. 12. 740603–740603.
2.
Buissonnière-Ariza, Valérie La, Alan Tucholka, Marouane Nassim, et al.. (2021). Prefrontal cortex and amygdala anatomy in youth with persistent levels of harsh parenting practices and subclinical anxiety symptoms over time during childhood. Development and Psychopathology. 34(3). 957–968. 15 indexed citations
3.
Skouras, Stavros, Carles Falcón, Alan Tucholka, et al.. (2019). Mechanisms of functional compensation, delineated by eigenvector centrality mapping, across the pathophysiological continuum of Alzheimer’s disease. NeuroImage Clinical. 22. 101777–101777. 31 indexed citations
4.
Ghaziri, Jimmy, Alan Tucholka, Gabriel Girard, et al.. (2018). Subcortical structural connectivity of insular subregions. Scientific Reports. 8(1). 8596–8596. 132 indexed citations
5.
Falcón, Carles, Alan Tucholka, Gemma C. Monté, et al.. (2018). Longitudinal structural cerebral changes related to core CSF biomarkers in preclinical Alzheimer's disease: A study of two independent datasets. NeuroImage Clinical. 19. 190–201. 18 indexed citations
6.
Obaïd, Sami, Alan Tucholka, Jimmy Ghaziri, et al.. (2018). Cortical thickness analysis in operculo-insular epilepsy. NeuroImage Clinical. 19. 727–733. 8 indexed citations
7.
Casamitjana, Adrià, Paula Petrone, Alan Tucholka, et al.. (2018). MRI-Based Screening of Preclinical Alzheimer’s Disease for Prevention Clinical Trials. Journal of Alzheimer s Disease. 64(4). 1099–1112. 15 indexed citations
8.
Demirtaş, Murat, Carles Falcón, Alan Tucholka, et al.. (2017). A whole-brain computational modeling approach to explain the alterations in resting-state functional connectivity during progression of Alzheimer's disease. NeuroImage Clinical. 16. 343–354. 63 indexed citations
9.
Baker, Travis E., Paul Lespérance, Alan Tucholka, et al.. (2017). Reversing the Atypical Valuation of Drug and Nondrug Rewards in Smokers Using Multimodal Neuroimaging. Biological Psychiatry. 82(11). 819–827. 26 indexed citations
10.
Dion, Laurie‐Anne, Maryse F. Bouchard, Sébastien Sauvé, et al.. (2016). MRI pallidal signal in children exposed to manganese in drinking water. NeuroToxicology. 53. 124–131. 30 indexed citations
11.
Shakeri, Mahsa, Hervé Lombaert, Alexandre Datta, et al.. (2016). Statistical shape analysis of subcortical structures using spectral matching. Computerized Medical Imaging and Graphics. 52. 58–71. 8 indexed citations
12.
Gispert, Juan Domingo, Lorena Rami, Gonzalo Sánchez‐Benavides, et al.. (2015). Nonlinear cerebral atrophy patterns across the Alzheimer's disease continuum: impact of APOE4 genotype. Neurobiology of Aging. 36(10). 2687–2701. 39 indexed citations
13.
Tucholka, Alan, Julie Tremblay, Chantal Poulin, et al.. (2015). fMRI brain response during sentence reading comprehension in children with benign epilepsy with centro-temporal spikes. Epilepsy Research. 117. 42–51. 19 indexed citations
14.
Gispert, Juan Domingo, Gemma C. Monté, Carles Falcón, et al.. (2015). CSF YKL-40 and pTau181 are related to different cerebral morphometric patterns in early AD. Neurobiology of Aging. 38. 47–55. 47 indexed citations
15.
Marrakchi‐Kacem, Linda, Christine Delmaire, Pamela Guevara, et al.. (2013). Mapping Cortico-Striatal Connectivity onto the Cortical Surface: A New Tractography-Based Approach to Study Huntington Disease. PLoS ONE. 8(2). e53135–e53135. 18 indexed citations
16.
Marrakchi‐Kacem, Linda, Christine Delmaire, Alan Tucholka, et al.. (2010). Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington’s Disease. Lecture notes in computer science. 13(Pt 2). 217–224. 7 indexed citations
17.
Perrot, Matthieu, Denis Rivière, Alan Tucholka, & Jean‐François Mangin. (2009). Joint Bayesian Cortical Sulci Recognition and Spatial Normalization. Lecture notes in computer science. 21. 176–187. 20 indexed citations
18.
Perrot, Matthieu, et al.. (2009). Constructing a Dictionary of Human Brain Folding Patterns. Lecture notes in computer science. 12(Pt 2). 117–124. 19 indexed citations
19.
Thirion, Bertrand, Philippe Pinel, Alan Tucholka, et al.. (2007). Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies. IEEE Transactions on Medical Imaging. 26(9). 1256–1269. 43 indexed citations
20.
Thirion, Bertrand, Alan Tucholka, Philippe Pinel, et al.. (2007). High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models. Lecture notes in computer science. 20. 482–494. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rüdiger Ilg Breakdown of academic impact, for papers by Min Tae M Park Breakdown of academic impact, for papers by Uicheul Yoon Breakdown of academic impact, for papers by Bram B. Zandbelt Breakdown of academic impact, for papers by Maria A. Di Biase Breakdown of academic impact, for papers by Pei‐Chi Tu Breakdown of academic impact, for papers by Jon Pipitone Breakdown of academic impact, for papers by H Hahn Breakdown of academic impact, for papers by Crystal Franklin Breakdown of academic impact, for papers by Diana Rosas
Rankless by CCL
2026