Daniel García-Lorenzo

2.8k citations
34 papers · 2.0k indexed · h-index 22
Topics
Multiple Sclerosis Research Studies (14 papers)Medical Image Segmentation Techniques (10 papers)Advanced Neuroimaging Techniques and Applications (10 papers)

In The Last Decade

Daniel García-Lorenzo

34 papers receiving 2.0k citations

Peers

Daniel García-Lorenzo
Comparison fields: 5 of 108
  • Neurology 680
  • Radiology, Nuclear Medicine and Imaging 561
  • Pathology and Forensic Medicine 522
  • Cognitive Neuroscience 425
  • Neurology 406
Replace Deborah Pareto with:
Deborah Pareto Spain
Thomas Tourdias France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel García-Lorenzo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel García-Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel García-Lorenzo. 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 Daniel García-Lorenzo. The network helps show where Daniel García-Lorenzo may publish in the future.

Co-authorship network of co-authors of Daniel García-Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel García-Lorenzo. A scholar is included among the top collaborators of Daniel García-Lorenzo 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 Daniel García-Lorenzo. Daniel García-Lorenzo 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
#WorkIndexed citations
1 24
2 39
3 145
4
Energy dysregulation and neuro-axonal dysfunction in MS measured in-vivo with diffusion-weighed spectroscopy
2
5 9
6 83
7 8
8 56
9 124
10 37
11 237
12
Assessment of myelin content by positron emission tomography with [methyl-C-11]-2-(4 '-methylaminophenyl)-6-hydroxybenzothiazole in relapsing-remitting MS
1
13 207
14 21
15 246
16 55
17 4
18
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation
9
19 15
20 43

About Daniel García-Lorenzo

Daniel García-Lorenzo is a scholar working on Pathology and Forensic Medicine, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (14 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). The work is most often cited by research in Neurology (406 citations), Neurology (680 citations) and Pathology and Forensic Medicine (522 citations). Daniel García-Lorenzo has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include D. Louis Collins, Stéphane Lehéricy, Douglas L. Arnold, Marie Vidailhet, Sridar Narayanan, Vladimir Fonov, Pierrick Coupé, Simon Fristed Eskildsen, Cécile Galléa and Simon Francis. Their work appears in journals such as PLoS ONE, NeuroImage and Brain.

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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