Lucas A. Ramos

1.4k citations

19 papers · 547 indexed · h-index 14

Co-authors: Henk A. Marquering Charles B.L.M. Majoie Sílvia D. Olabarriaga Hendrikus J. A. van Os Gustav J. Strijkers Diederik W.J. Dippel Adam Hilbert Yvo B.W.E.M. Roos
Topics: Acute Ischemic Stroke Management (7 papers)Cerebrovascular and Carotid Artery Diseases (6 papers)Intracranial Aneurysms: Treatment and Complications (3 papers)
Cited by: Health Informatics Rehabilitation Internal Medicine
Journals: Frontiers in Psychology Clinical Neurophysiology Drug and Alcohol Dependence
Partner nations: Netherlands Germany Brazil

In The Last Decade

Lucas A. Ramos

18 papers receiving 532 citations

Peers

Countries citing papers authored by Lucas A. Ramos

Since Specialization

Citations

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

Fields of papers citing papers by Lucas A. Ramos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas A. Ramos. 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 Lucas A. Ramos. The network helps show where Lucas A. Ramos may publish in the future.

Co-authorship network of co-authors of Lucas A. Ramos

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study 2024 ·Drug and Alcohol Dependence ·(unknown),Lucas A. Ramos,Margriet van Laar,Anna E. Goudriaan,Matthijs Blankers	0
2	Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke 2022 ·Frontiers in Neurology ·Lucas A. Ramos,Hendrikus J. A. van Os,Adam Hilbert,Sílvia D. Olabarriaga,Aad van der Lugt,Yvo B.W.E.M. Roos,Wim H. van Zwam,Marianne A.A. van Walderveen,Marielle Ernst,A. H. Zwinderman,Gustav J. Strijkers,Charles B.L.M. Majoie,Marieke J.H. Wermer,Henk A. Marquering	24
3	Painful Distal Phalanx Toe Pseudoarthrosis Surgically Treated: A Case Report 2021 ·(unknown),Lucas A. Ramos,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	1
4	Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning 2021 ·Frontiers in Psychology ·Lucas A. Ramos,Matthijs Blankers,Guido van Wingen,(unknown),Steffen Pauws,Anna E. Goudriaan	18
5	Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke 2021 ·Computers in Biology and Medicine ·(unknown),Lucas A. Ramos,Manon Kappelhof,Hendrikus J. A. van Os,Vicky Chalos,Katinka R. van Kranendonk,Nyika D. Kruyt,Yvo B.W.E.M. Roos,Wim H. van Zwam,Irene C. van der Schaaf,Marianne A. A. van Walderveen,M.J.H. Wermer,Robert J. van Oostenbrugge,Hester F. Lingsma,Diederik W.J. Dippel,Charles B.L.M. Majoie,Henk A. Marquering	16
6	Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriers 2021 ·Computers in Biology and Medicine ·(unknown),Hidde Bleijendaal,Lucas A. Ramos,Tom E. Verstraelen,Ahmad S. Amin,Arthur A.M. Wilde,Yigal M. Pinto,Bas A.J.M. de Mol,Henk A. Marquering	40
7	Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques 2021 ·Diagnostics ·Sarah W.E. Baalman,(unknown),Lucas A. Ramos,Jolien Neefs,Antoine H.G. Driessen,Wim Jan van Boven,Bas A.J.M. de Mol,Henk A. Marquering,Joris R. de Groot	6
8	Quantitative analysis of EEG reactivity for neurological prognostication after cardiac arrest 2021 ·Clinical Neurophysiology ·Marjolein M. Admiraal,Lucas A. Ramos,Sílvia D. Olabarriaga,Henk A. Marquering,Janneke Horn,Anne‐Fleur van Rootselaar	16
9	Prediction of Outcome Using Quantified Blood Volume in Aneurysmal SAH 2020 ·American Journal of Neuroradiology ·(unknown),Henk A. Marquering,Lucas A. Ramos,René van den Berg,Bert A. Coert,Anna M.M. Boers,Mervyn D. I. Vergouwen,Gabriël J.E. Rinkel,Birgitta K. Velthuis,Yvo B.W.E.M. Roos,Charles B.L.M. Majoie,W. Peter Vandertop,Dagmar Verbaan	14
10	Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke 2020 ·Frontiers in Neurology ·Lucas A. Ramos,Manon Kappelhof,Hendrikus J. A. van Os,Vicky Chalos,(unknown),Nyika D. Kruyt,Yvo B.W.E.M. Roos,Aad van der Lugt,Wim H. van Zwam,Irene C. van der Schaaf,Aeilko H. Zwinderman,Gustav J. Strijkers,Marianne A.A. van Walderveen,M.J.H. Wermer,Sílvia D. Olabarriaga,Charles B.L.M. Majoie,Henk A. Marquering	33
11	A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples 2020 ·International Journal of Cardiology ·Sarah W.E. Baalman,(unknown),(unknown),Tom F. Brouwer,Willeke van der Stuijt,Hidde Bleijendaal,Lucas A. Ramos,(unknown),Henk A. Marquering,Reinoud E. Knops,Joris R. de Groot	33
12	Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram? 2020 ·Heart Rhythm ·Hidde Bleijendaal,Lucas A. Ramos,(unknown),Tom E. Verstraelen,Sarah W.E. Baalman,(unknown),Fleur V.Y. Tjong,(unknown),Francisco-Javier Gimeno-Blanes,Juan R. Gimeno,Ahmad S. Amin,Michiel M. Winter,Henk A. Marquering,Wouter E.M. Kok,Aeilko H. Zwinderman,Arthur A.M. Wilde,Yigal M. Pinto	36
13	qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients 2020 ·International Journal of Stroke ·Haryadi Prasetya,Lucas A. Ramos,(unknown),Kilian M. Treurniet,Bart J. Emmer,Ido R. van den Wijngaard,Guang Zhang,Manon Kappelhof,Olvert A. Berkhemer,Albert J. Yoo,(unknown),Robert J. van Oostenbrugge,Diederik W.J. Dippel,Wim H. van Zwam,Aad van der Lugt,Bas A.J.M. de Mol,Charles B.L.M. Majoie,Ed VanBavel,Henk A. Marquering,(unknown)	9
14	Value of machine learning in predicting TAVI outcomes 2019 ·Netherlands Heart Journal ·(unknown),Martijn S. van Mourik,(unknown),Lucas A. Ramos,Jan Baan,Jeroen Vendrik,Bas A.J.M. de Mol,Marije M. Vis,Henk A. Marquering	31
15	Predicting Delayed Cerebral Ischemia with Quantified Aneurysmal Subarachnoid Blood Volume 2019 ·World Neurosurgery ·(unknown),Henk A. Marquering,Anna M.M. Boers,Lucas A. Ramos,René van den Berg,Mervyn D. I. Vergouwen,Charles B.L.M. Majoie,Bert A. Coert,W. Peter Vandertop,Dagmar Verbaan,Yvo B.W.E.M. Roos	13
16	Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke 2019 ·Computers in Biology and Medicine ·Adam Hilbert,Lucas A. Ramos,Hendrikus J. A. van Os,Sílvia D. Olabarriaga,Manon L. Tolhuisen,M.J.H. Wermer,Renan Sales Barros,Irene van der Schaaf,Diederik W.J. Dippel,Yvo B.W.E.M. Roos,Wim H. van Zwam,Albert J. Yoo,Bart J. Emmer,Geert J. Lycklama à Nijeholt,Aeilko H. Zwinderman,Gustav J. Strijkers,Charles B.L.M. Majoie,Henk A. Marquering	81
17	Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage 2018 ·Journal of NeuroInterventional Surgery ·Lucas A. Ramos,(unknown),Renan Sales Barros,Charles B.L.M. Majoie,René van den Berg,Dagmar Verbaan,W. Peter Vandertop,(unknown),A. H. Zwinderman,Gustav J. Strijkers,Sílvia D. Olabarriaga,Henk A. Marquering	63
18	Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms 2018 ·Frontiers in Neurology ·Hendrikus J. A. van Os,Lucas A. Ramos,Adam Hilbert,Matthijs van Leeuwen,Marianne A.A. van Walderveen,Nyika D. Kruyt,Diederik W.J. Dippel,Ewout W. Steyerberg,Irene C. van der Schaaf,Hester F. Lingsma,Wouter J. Schonewille,Charles B.L.M. Majoie,Sílvia D. Olabarriaga,Koos Zwinderman,Esmée Venema,Henk A. Marquering,Marieke J.H. Wermer,(unknown)	112
19	Convolutional Neural Networks For Automated Edema Segmentation in Patients With Intracerebral Hemorrhage 2018 ·Lucas A. Ramos,(unknown),(unknown),Yvo B.W.E.M. Roos,Charles B.L.M. Majoie,Ludo F.M. Beenen,Renan Sales Barros,Sílvia D. Olabarriaga,Henk A. Marquering	1

About Lucas A. Ramos

Lucas A. Ramos is a scholar working on Developmental Biology, Applied Psychology and Neurology, having authored 19 papers that have together received 547 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Health Informatics (40 citations), Rehabilitation (93 citations) and Internal Medicine (42 citations). Lucas A. Ramos has collaborated with scholars based in Netherlands, Germany and Brazil. Frequent co-authors include Henk A. Marquering, Charles B.L.M. Majoie, Sílvia D. Olabarriaga, Hendrikus J. A. van Os, Gustav J. Strijkers, Diederik W.J. Dippel, Adam Hilbert, Yvo B.W.E.M. Roos, Hidde Bleijendaal and Marianne A.A. van Walderveen. Their work appears in journals such as Frontiers in Psychology, Clinical Neurophysiology and Drug and Alcohol Dependence.

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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