Alberto Redolfi

3.1k total citations
47 papers, 898 citations indexed

About

Alberto Redolfi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Alberto Redolfi has authored 47 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Psychiatry and Mental health, 15 papers in Cognitive Neuroscience and 15 papers in Neurology. Recurrent topics in Alberto Redolfi's work include Dementia and Cognitive Impairment Research (22 papers), Functional Brain Connectivity Studies (15 papers) and Alzheimer's disease research and treatments (14 papers). Alberto Redolfi is often cited by papers focused on Dementia and Cognitive Impairment Research (22 papers), Functional Brain Connectivity Studies (15 papers) and Alzheimer's disease research and treatments (14 papers). Alberto Redolfi collaborates with scholars based in Italy, United States and Switzerland. Alberto Redolfi's co-authors include Giovanni B. Frisoni, Marina Boccardi, Frederik Barkhof, Martina Bocchetta, David Manset, Michela Pievani, Clifford R. Jack, Rossana Ganzola, Simon Duchesne and Keith S. Cover and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Alberto Redolfi

45 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Redolfi Italy	18	330	268	226	224	204	47	898
Benoît Magnin France	12	261 0.8×	169 0.6×	148 0.7×	262 1.2×	218 1.1×	25	912
Esther E. Bron Netherlands	21	331 1.0×	208 0.8×	171 0.8×	289 1.3×	131 0.6×	67	1.1k
Elaheh Moradi Finland	7	370 1.1×	264 1.0×	154 0.7×	128 0.6×	246 1.2×	13	810
Valtteri Julkunen Finland	11	454 1.4×	253 0.9×	390 1.7×	181 0.8×	216 1.1×	16	949
Marie-Odile Habert France	6	483 1.5×	381 1.4×	241 1.1×	262 1.2×	352 1.7×	7	1.0k
Chris Hinrichs United States	8	315 1.0×	188 0.7×	145 0.6×	189 0.8×	224 1.1×	11	717
Junhao Wen United States	11	311 0.9×	196 0.7×	108 0.5×	164 0.7×	301 1.5×	30	883
Katherine R. Gray United Kingdom	10	293 0.9×	137 0.5×	123 0.5×	164 0.7×	226 1.1×	19	646
H.-J. Gertz Germany	13	384 1.2×	347 1.3×	359 1.6×	163 0.7×	156 0.8×	26	1.1k
Parnesh Raniga Australia	16	336 1.0×	247 0.9×	376 1.7×	383 1.7×	113 0.6×	46	1.0k

Countries citing papers authored by Alberto Redolfi

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Redolfi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Redolfi

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Redolfi. A scholar is included among the top collaborators of Alberto Redolfi 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 Alberto Redolfi. Alberto Redolfi 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

Pappalettera, Chiara, Fabrizio Vecchio, Camillo Marra, et al.. (2025). Electroencephalography‐based signatures of cognitive resilience in individuals with stable mild cognitive impairment despite carrying a high‐risk for progression to dementia. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(4). e70194–e70194.

Martinelli, Alessandra, Roberto Gasparotti, Laura Pedrini, et al.. (2025). An explainable multimodal artificial intelligence model for classifying suicide attempters with borderline personality disorder: a pilot study. Scientific Reports. 16(1). 1902–1902.

Redolfi, Alberto, et al.. (2023). Localizing in-domain adaptation of transformer-based biomedical language models. Journal of Biomedical Informatics. 144. 104431–104431. 14 indexed citations

Fostinelli, Silvia, Enea Parimbelli, Federico Verde, et al.. (2023). Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application. Journal of Biomedical Informatics. 148. 104557–104557. 4 indexed citations

Caminiti, Silvia Paola, et al.. (2023). FDG‐PET markers of heterogeneity and different risk of progression in amnestic MCI. Alzheimer s & Dementia. 20(1). 159–172. 15 indexed citations

Palesi, Fulvia, Michael Schirner, Alberto Redolfi, et al.. (2023). Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias. Frontiers in Aging Neuroscience. 15. 10 indexed citations

Redolfi, Alberto, et al.. (2023). Differential diagnosis of neurodegenerative diseases using an innovative deep learning approach. Alzheimer s & Dementia. 19(S2). 2 indexed citations

Redolfi, Alberto, Fabrizio Tagliavini, Raffaele Lodi, et al.. (2022). Italian, European, and international neuroinformatics efforts: An overview. European Journal of Neuroscience. 57(12). 2017–2039. 4 indexed citations

Palesi, Fulvia, Anna Nigri, Domenico Aquino, et al.. (2022). MRI data quality assessment for the RIN - Neuroimaging Network using the ACR phantoms. Physica Medica. 104. 93–100. 2 indexed citations

10.

Attardi, Giuseppe, et al.. (2022). Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry. 13. 946387–946387. 37 indexed citations

11.

Pinaya, Walter Hugo Lopez, Cristina Scarpazza, Rafael Garcia‐Dias, et al.. (2021). Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study. Scientific Reports. 11(1). 15746–15746. 37 indexed citations

12.

Khlif, Mohamed Salah, Emilio Werden, Natalia Egorova, et al.. (2019). Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques. NeuroImage Clinical. 24. 102008–102008. 18 indexed citations

13.

Altomare, Daniele, Clarissa Ferrari, Anna Caroli, et al.. (2019). Prognostic value of Alzheimer’s biomarkers in mild cognitive impairment: the effect of age at onset. Journal of Neurology. 266(10). 2535–2545. 11 indexed citations

14.

Falgàs, Neus, Raquel Sánchez‐Valle, Núria Bargalló, et al.. (2019). Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment. NeuroImage Clinical. 23. 101927–101927. 28 indexed citations

15.

Cover, Keith S., Ronald A. van Schijndel, Paolo Bosco, Soheil Damangir, & Alberto Redolfi. (2018). Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years?. Psychiatry Research Neuroimaging. 280. 39–47. 10 indexed citations

16.

Khlif, Mohamed Salah, Natalia Egorova, Emilio Werden, et al.. (2018). A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants. NeuroImage Clinical. 21. 101581–101581. 24 indexed citations

17.

Redolfi, Alberto, David Manset, Frederik Barkhof, et al.. (2015). Head-to-Head Comparison of Two Popular Cortical Thickness Extraction Algorithms: A Cross-Sectional and Longitudinal Study. PLoS ONE. 10(3). e0117692–e0117692. 36 indexed citations

18.

Chincarini, A., F. Sensi, L. Rei, et al.. (2015). Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease. NeuroImage. 125. 834–847. 57 indexed citations

19.

Tangaro, Sabina, Nicola Amoroso, Marina Boccardi, et al.. (2014). Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and validation. Physica Medica. 30(8). 878–887. 29 indexed citations

20.

Cover, Keith S., Ronald A. van Schijndel, Veronica Popescu, et al.. (2014). The SIENA/FSL whole brain atrophy algorithm is no more reproducible at 3 T than 1.5 T for Alzheimer׳s disease. Psychiatry Research Neuroimaging. 224(1). 14–21. 10 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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