Miguel Monteiro

855 total citations
5 papers, 294 citations indexed

About

Miguel Monteiro is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Miguel Monteiro has authored 5 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Neurology, 2 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Miguel Monteiro's work include Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Medical Imaging and Analysis (1 paper) and Remote Sensing in Agriculture (1 paper). Miguel Monteiro is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Medical Imaging and Analysis (1 paper) and Remote Sensing in Agriculture (1 paper). Miguel Monteiro collaborates with scholars based in United Kingdom, Portugal and United States. Miguel Monteiro's co-authors include Ben Glocker, José M. Ferro, Ana T. Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, Arlindo L. Oliveira, Ana Catarina Fonseca, Daniel Whitehouse, Tilak Das and Konstantinos Kamnitsas and has published in prestigious journals such as Nature Communications, Computers and Electronics in Agriculture and EBioMedicine.

In The Last Decade

Miguel Monteiro

5 papers receiving 285 citations

Peers

Countries citing papers authored by Miguel Monteiro

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Monteiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Monteiro

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Active label cleaning for improved dataset quality under resource constraints 2022 ·Nature Communications ·(unknown), Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem Can Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay	55
2	Multispectral vineyard segmentation: A deep learning comparison study 2022 ·Computers and Electronics in Agriculture ·(unknown), (unknown), Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Ferreira, Urbano Nunes	25
3	Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study 2021 ·EBioMedicine ·Daniel Whitehouse, Miguel Monteiro, Endre Czeiter, Thijs Vande Vyvere, Fernanda Valério, Zheng Ye, Krisztina Amrein, Konstantinos Kamnitsas, Haiyan Xu, Zhihui Yang, Jan Verheyden, Tilak Das, Evgenios Kornaropoulos, Ewout W. Steyerberg, Andrew I.R. Maas, Kevin Wang, András Büki, Ben Glocker, David Menon, Virginia Newcombe	30
4	Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study 2020 ·The Lancet Digital Health ·Miguel Monteiro, Virginia Newcombe, François Mathieu, Krishma Adatia, Konstantinos Kamnitsas, Enzo Ferrante, Tilak Das, Daniel Whitehouse, Daniel Rueckert, David Menon, Ben Glocker	92
5	Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients 2018 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Miguel Monteiro, Ana Catarina Fonseca, Ana T. Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira	92

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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