Gabriel Wardi

1.7k citations
75 papers · 779 indexed · 1 hit paper · h-index 17

Impact in

Papers in

Gabriel Wardi

66 papers receiving 759 citations

Hit Papers

Impact of a deep learning sepsis prediction model on quality of care and survival 2024 · 56 citations
562024202620251020304050

Peers

Gabriel Wardi
Comparison fields: 5 of 102
  • Health Informatics 81
  • Family Practice 76
  • Critical Care and Intensive Care Medicine 114
  • Emergency Medicine 136
  • Applied Microbiology and Biotechnology 22
Replace Lucas M. Fleuren with:
Lucas M. Fleuren Netherlands
Rodrigo Octávio Deliberato United States
Kyle A. Carey United States
Andrea Sikora United States
Sayon Dutta United States
Tingjie Guo Netherlands
Luca F. Roggeveen Netherlands
Joseph Bledsoe United States
Christopher M. Horvat United States
R.P. Dellinger United States
Gabriel Wardi relative to Lucas M. Fleuren Netherlands Lucas M. Fleuren's profile →
Citations per field
00.5×5.7×
Lucas M. Fleuren · 1×
Citations per year

Countries citing papers authored by Gabriel Wardi

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Wardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20250
4 20250
5 20258
6 202416
7 20244
8 20240
9 20231
10 20224
11 202162
12 202110
13 20212
14 202017
15 20201
16 20191
17 201817
18 20173
19 20161
20 20144

About Gabriel Wardi

Gabriel Wardi is a scholar working on Family Practice, Health Informatics, Critical Care and Intensive Care Medicine, Emergency Medicine and Epidemiology, having authored 75 papers that have together received 779 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (33 papers), Machine Learning in Healthcare (16 papers), Cardiac Arrest and Resuscitation (10 papers), Clinical Reasoning and Diagnostic Skills (9 papers), Emergency and Acute Care Studies (6 papers), Nosocomial Infections in ICU (5 papers), Airway Management and Intubation Techniques (4 papers) and Hemodynamic Monitoring and Therapy (4 papers). The work is most often cited by research in Health Informatics (81 citations), Family Practice (76 citations), Critical Care and Intensive Care Medicine (114 citations), Emergency Medicine (136 citations) and Applied Microbiology and Biotechnology (22 citations). Gabriel Wardi has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Shamim Nemati, Supreeth P. Shashikumar, Atul Malhotra, Michael E. Winters, Robert Sherwin, Gary M. Vilke, Christopher Tainter, Stephen R. Hayden, Andre L. Holder and Rebecca Sell. Their work appears in journals such as Journal of Emergency Medicine, The American Journal of Emergency Medicine, Annals of Emergency Medicine, Critical Care Medicine and npj Digital Medicine.

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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