Daniel Hadfield

6 papers receiving 54 citations

Peers

Daniel Hadfield
Comparison fields: 5 of 37
  • Critical Care and Intensive Care Medicine 30
  • Radiological and Ultrasound Technology 16
  • Anesthesiology and Pain Medicine 8
  • Emergency Medicine 11
  • Developmental Neuroscience 4
Replace Harriet Noble with:
Harriet Noble United Kingdom
Clément Saccheri France
Helle Lykkeskov Nibro Denmark
Cândida Ferrito Portugal
Laura Bormans Netherlands
Gabrielle Hanlon Australia
Ken Hargett United States
Tessa Broadley Australia
Diana Gil-Castillejos Spain
Johan Berkius Sweden
Daniel Hadfield relative to Harriet Noble United Kingdom Harriet Noble's profile →
Citations per field
00.5×1.6×
Harriet Noble · 1×
Citations per year

Countries citing papers authored by Daniel Hadfield

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hadfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202032
2 202112
3 20235
4 20233
5 20132
6 20201

About Daniel Hadfield

Daniel Hadfield is a scholar working on Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology, Pulmonary and Respiratory Medicine, General Health Professions and Clinical Psychology, having authored 6 papers that have together received 55 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (5 papers), Family and Patient Care in Intensive Care Units (4 papers), Respiratory Support and Mechanisms (3 papers), Anesthesia and Sedative Agents (1 paper), Palliative Care and End-of-Life Issues (1 paper), Delphi Technique in Research (1 paper), Healthcare Decision-Making and Restraints (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (30 citations), Radiological and Ultrasound Technology (16 citations), Anesthesiology and Pain Medicine (8 citations), Emergency Medicine (11 citations) and Developmental Neuroscience (4 citations). Daniel Hadfield has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Louise Rose, Sian Saha, Philip Hopkins, Harriet Noble, Clare Finney, J. M. Smith, Victoria Cornelius, Clair Harris, Lucy Johnson and Nicholas Hart. Their work appears in journals such as BMJ Open Respiratory Research, Clinical Trials, Critical Care, Journal of the Intensive Care Society and International Journal of Clinical Pharmacy.

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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