Daniel Mantilla

524 citations
29 papers · 360 · h-index 9

Impact in

  • Neurology top 5%
    • Intracranial Aneurysms: Treatment and Complications
    • Vascular Malformations Diagnosis and Treatment
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neurosurgical Procedures and Complications
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Intracranial Aneurysms: Treatment and Complications 14
    • Vascular Malformations Diagnosis and Treatment 3
    • Brain Tumor Detection and Classification 2
    • Cerebrovascular and Carotid Artery Diseases 4

Daniel Mantilla

26 papers receiving 357 citations

Peers

Daniel Mantilla
Comparison fields: 5 of 26
  • Neurology 251
  • Internal Medicine 10
  • Epidemiology 75
  • Pulmonary and Respiratory Medicine 68
  • Rheumatology 23
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Citations per field
00.5×7.1×
Ken Faulder · 1×
Citations per year

Countries citing papers authored by Daniel Mantilla

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mantilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Mantilla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mantilla Line = papers co-authored together Daniel Mantilla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201761
3 201844
4 201828
5 201828
6 202024
7 201811
8 202410
9 202110
10 20237
11 20236
12 20235
13 20235
14 20234
15 20223
16 20242
17 20222
18 20242
19 20241
20 20221

About Daniel Mantilla

Daniel Mantilla is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 360 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (14 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Acute Ischemic Stroke Management (4 papers), Medical Image Segmentation Techniques (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Brain Tumor Detection and Classification (2 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Neurology (251 citations), Internal Medicine (10 citations), Epidemiology (75 citations), Pulmonary and Respiratory Medicine (68 citations) and Rheumatology (23 citations). Daniel Mantilla has collaborated with scholars based in Colombia, France and Italy. Frequent co-authors include Vincent Costalat, Grégory Gascou, Pierre-Henri Lefèvre, Fédérico Cagnazzo, Cyril Dargazanli, Alain Bonafé, Carlos Riquelme, Paolo Perrini, Davide Tiziano Di Carlo and Omer Eker. Their work appears in journals such as World Neurosurgery, American Journal of Neuroradiology, Journal of NeuroInterventional Surgery, Journal of Neuroradiology and Scientific Reports.

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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