Javier M. Romero

6.3k citations
154 papers · 4.1k indexed · 1 hit paper · h-index 34

Javier M. Romero

145 papers receiving 4.0k citations

Hit Papers

An explainable deep-learning algorithm for the detection ...3092018202620202023100200300

Peers

Javier M. Romero
Comparison fields: 5 of 139
  • Neurology 2.5k
  • Epidemiology 2.1k
  • Health Informatics 79
  • Internal Medicine 130
  • Pulmonary and Respiratory Medicine 864
Replace Ferdinand Hui with:
Ferdinand Hui United States
Seyedmehdi Payabvash United States
Frederick J. A. Meijer Netherlands
Charles Matouk United States
Jan Sobesky Germany
Clemens M. Schirmer United States
Peter Mitchell Australia
Richard I. Aviv Canada
Bernard Yan Australia
Elisa Cuadrado‐Godia Spain
Javier M. Romero relative to Ferdinand Hui United States Ferdinand Hui's profile →
Citations per field
00.5×1.5×1.8×
Ferdinand Hui · 1×
Citations per year

Countries citing papers authored by Javier M. Romero

Since Specialization
Citations

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

Fields of papers citing papers by Javier M. Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier M. Romero. 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 Javier M. Romero. The network helps show where Javier M. Romero may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Javier M. Romero, 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 Javier M. Romero Line = papers co-authored together Javier M. Romero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20236
4 20232
5 20236
6 202219
7 202113
8 20197
9 2018101
10 20185
11 201799
12 201618
13 20166
14 20114
15 201033
16 201030
17 20108
18 200923
19 200928
20 200219

About Javier M. Romero

Javier M. Romero is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 154 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (78 papers), Intracerebral and Subarachnoid Hemorrhage Research (52 papers), Cerebrovascular and Carotid Artery Diseases (45 papers), Neurosurgical Procedures and Complications (38 papers), Intracranial Aneurysms: Treatment and Complications (22 papers), Traumatic Brain Injury and Neurovascular Disturbances (19 papers), Cardiovascular Health and Disease Prevention (12 papers) and Moyamoya disease diagnosis and treatment (7 papers). The work is most often cited by research in Neurology (2.5k citations), Epidemiology (2.1k citations) and Health Informatics (79 citations). Javier M. Romero has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Joshua N. Goldstein, Jonathan Rosand, Michael H. Lev, Pamela W. Schaefer, Josser E Delgado Almandoz, H. Bart Brouwers, R. Gilberto González, Steven M. Greenberg, Ramón González and Kristin Schwab. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

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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