Ari Ercole

18.0k citations
148 papers · 5.1k indexed · 2 hit papers · h-index 37

Impact in

Papers in

    • Cardiac Arrest and Resuscitation 31
    • Trauma and Emergency Care Studies 18
    • Traumatic Brain Injury and Neurovascular Disturbances 71

Ari Ercole

147 papers receiving 5.0k citations

Hit Papers

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy 2020 · 414 citations
4142017202620202023100200300400

Peers

Ari Ercole
Comparison fields: 5 of 176
  • Health Informatics 215
  • Neurology 2.0k
  • Emergency Medicine 925
  • Critical Care and Intensive Care Medicine 257
  • Epidemiology 1.4k
Replace David L. Reich with:
David L. Reich United States
Robert Wolff United Kingdom
Elkan F. Halpern United States
Timothy R. Smith United States
Ramin Zand United States
Daan Nieboer Netherlands
Daniel Burkhoff United States
Changyu Shen United States
Hester F. Lingsma Netherlands
J Mocco United States
Ari Ercole relative to David L. Reich United States David L. Reich's profile →
Citations per field
00.5×4.1×
David L. Reich · 1×
Citations per year

Countries citing papers authored by Ari Ercole

Since Specialization
Citations

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

Fields of papers citing papers by Ari Ercole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 202313
4 20231
5 20234
6 202272
7 202158
8 2021121
9 202013
10 202017
11 202021
12 202019
13 202023
14 202017
15 202018
16 201914
17 20196
18 201836
19 201745
20 20143

About Ari Ercole

Ari Ercole is a scholar working on Emergency Medicine, Neurology, Critical Care and Intensive Care Medicine, Health Informatics and Epidemiology, having authored 148 papers that have together received 5.1k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (71 papers), Cardiac Arrest and Resuscitation (31 papers), Sepsis Diagnosis and Treatment (26 papers), Traumatic Brain Injury Research (18 papers), Trauma and Emergency Care Studies (18 papers), Magnetic properties of thin films (14 papers), S100 Proteins and Annexins (14 papers) and Cerebrospinal fluid and hydrocephalus (12 papers). The work is most often cited by research in Health Informatics (215 citations), Neurology (2.0k citations), Emergency Medicine (925 citations), Critical Care and Intensive Care Medicine (257 citations) and Epidemiology (1.4k citations). Ari Ercole has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Mihaela van der Schaar, Marek Czosnyka, J. A. C. Bland, David K. Menon, David Menon, Peter Smielewski, Ioana Bica, P. O. Baqui, Valerio Marra and Nino Stocchetti. Their work appears in journals such as Journal of Neurotrauma, PLoS ONE, BMJ Open, Critical Care and Acta Neurochirurgica.

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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