Nick Bakalis

25 papers receiving 263 citations

Peers

Nick Bakalis
Comparison fields: 5 of 84
  • Research and Theory 27
  • Issues, ethics and legal aspects 18
  • Leadership and Management 12
  • Critical Care and Intensive Care Medicine 43
  • Anesthesiology and Pain Medicine 37
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Sophia Bee Leng Ang Singapore
Marijo Letizia United States
Elizabeth Chin United States
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João Tavares Portugal
Mercedes Echevarria United States
Aylin Durmaz Edeer Türkiye
Nikolaos Stefanopoulos Greece
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Countries citing papers authored by Nick Bakalis

Since Specialization
Citations

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

Fields of papers citing papers by Nick Bakalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200538
2 201230
3 201528
4 201428
5 200623
6 200323
7 201618
8 201612
9 201312
10 200411
11 20229
12 20148
13 20148
14 20167
15 20157
16 20145
17 20234
18 20134
19 20242
20 20241

About Nick Bakalis

Nick Bakalis is a scholar working on General Health Professions, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Public Health, Environmental and Occupational Health and Surgery, having authored 26 papers that have together received 284 indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (3 papers), Innovations in Medical Education (3 papers), Thermal Regulation in Medicine (3 papers), Health Sciences Research and Education (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Nursing Diagnosis and Documentation (2 papers), Patient Safety and Medication Errors (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). The work is most often cited by research in Research and Theory (27 citations), Issues, ethics and legal aspects (18 citations), Leadership and Management (12 citations), Critical Care and Intensive Care Medicine (43 citations) and Anesthesiology and Pain Medicine (37 citations). Nick Bakalis has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Panagiotis Kiekkas, Nikolaos Stefanopoulos, Roger Watson, Davina Porock, Evangelos Konstantinou, Διαμάντω Αρέθα, George Baltopoulos, Μενέλαος Καρανικόλας, Theofanis Fotis and Ιωάννα Παπαθανασίου. Their work appears in journals such as Journal of Clinical Nursing, Journal of Advanced Nursing, Nurse Education Today, International Nursing Review and International Journal of Nursing Studies.

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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