Carlos Cabral

1.1k total citations
12 papers, 604 citations indexed

About

Carlos Cabral is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Carlos Cabral has authored 12 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Psychiatry and Mental health and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Carlos Cabral's work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Schizophrenia research and treatment (4 papers). Carlos Cabral is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Schizophrenia research and treatment (4 papers). Carlos Cabral collaborates with scholars based in Germany, Portugal and United States. Carlos Cabral's co-authors include Nikolaos Koutsouleris, Peter Falkai, Margarida Silveira, Joseph Kambeitz, Lana Kambeitz‐Ilankovic, Vince D. Calhoun, Dominic Dwyer, Sebastian von Saldern, Eva Meisenzahl and Pedro Morgado and has published in prestigious journals such as Biological Psychiatry, Schizophrenia Bulletin and Pattern Recognition.

In The Last Decade

Carlos Cabral

11 papers receiving 588 citations

Peers

Carlos Cabral

PMH

RNMI

ECP

NEURO

Mireille Nieuwenhuis Netherlands

Pradeep Reddy Raamana Canada

Sevdalina Kandilarova Bulgaria

Federico Adolfi United Kingdom

Tim Hahn Germany

Ziwen Peng China

Cedric Huchuan Xia United States

Xijia Xu China

Howie Rosen United States

Mireille Nieuwenhuis Netherlands

Carlos Cabral

457 ×1.2

244 ×1.0

PMH

247 ×1.3

RNMI

101 ×0.7

ECP

45 ×0.6

NEURO

Citations per year, relative to Carlos Cabral Carlos Cabral (= 1×) peers Mireille Nieuwenhuis

Countries citing papers authored by Carlos Cabral

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Cabral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Cabral

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

All Works

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12 of 12 papers shown

Cabral, Carlos, Citlalli Gaona-Tiburcio, Francisco Estupiñán-López, et al.. (2023). Citric Acid as an Alternative to Sulfuric Acid for Hard Anodizing in Aluminum Alloys Used in the Aeronautical Industry. ECS Transactions. 110(1). 225–236. 2 indexed citations

Dwyer, Dominic, Carlos Cabral, Lana Kambeitz‐Ilankovic, et al.. (2018). Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia. Schizophrenia Bulletin. 44(5). 1060–1069. 67 indexed citations

Kambeitz, Joseph, Lana Kambeitz‐Ilankovic, Carlos Cabral, et al.. (2016). Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis. Schizophrenia Bulletin. 42(suppl 1). S13–S21. 84 indexed citations

Cabral, Carlos, Lana Kambeitz‐Ilankovic, Joseph Kambeitz, et al.. (2016). Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance. Schizophrenia Bulletin. 42(suppl 1). S110–S117. 68 indexed citations

Kambeitz, Joseph, Carlos Cabral, Matthew D. Sacchet, et al.. (2016). Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies. Biological Psychiatry. 82(5). 330–338. 100 indexed citations

Cabral, Carlos, Pedro Morgado, Durval C. Costa, & Margarida Silveira. (2015). Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages. Computers in Biology and Medicine. 58. 101–109. 79 indexed citations

Kambeitz‐Ilankovic, Lana, Eva Meisenzahl, Carlos Cabral, et al.. (2015). Prediction of outcome in the psychosis prodrome using neuroanatomical pattern classification. Schizophrenia Research. 173(3). 159–165. 37 indexed citations

Koutsouleris, Nikolaos, Anita Riecher‐Rössler, Eva Meisenzahl, et al.. (2014). Detecting the Psychosis Prodrome Across High-Risk Populations Using Neuroanatomical Biomarkers. Schizophrenia Bulletin. 41(2). 471–482. 109 indexed citations

Cabral, Carlos & Margarida Silveira. (2013). Classification of Alzheimer's disease from FDG-PET images using favourite class ensembles. PubMed. 2013. 2477–80. 27 indexed citations

10.

Cabral, Carlos, Margarida Silveira, & Patrícia Figueiredo. (2011). Decoding visual brain states from fMRI using an ensemble of classifiers. Pattern Recognition. 45(6). 2064–2074. 30 indexed citations

11.

Cabral, Carlos, Margarida Silveira, & Patrícia Figueiredo. (2011). Automatic classification of cognitive states. 293. 1–7. 1 indexed citations

12.

Cabral, Carlos, Margarida Silveira, & Patrícia Figueiredo. (2011). Decoding visual stimuli using classifier ensembles with optimized feature selection. 293. 300–304.

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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