Liam O’Neill

40 papers receiving 1.2k citations

Peers

Liam O’Neill
Comparison fields: 5 of 108
  • Management Science and Operations Research 517
  • Emergency Medical Services 186
  • Health Information Management 104
  • Emergency Medicine 66
  • Management Information Systems 91
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Thomas Monks United Kingdom
Christos Vasilakis United Kingdom
Mecit Can Emre Simsekler United Arab Emirates
Marion Sabine Rauner Austria
Godefridus G. van Merode Netherlands
John Bowers United Kingdom
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Mariel S. Lavieri United States
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Citations per year

Countries citing papers authored by Liam O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Liam O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam O’Neill. 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 Liam O’Neill. The network helps show where Liam O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007295
2 1998149
3 2000121
4 199773
5 201173
6 200072
7 199856
8 200542
9 199931
10 200429
11 200727
12 201727
13 200126
14 200525
15 201621
16 201619
17 202119
18 200818
19 201718
20 200617

About Liam O’Neill

Liam O’Neill is a scholar working on Emergency Medical Services, Management Science and Operations Research, Health Information Management, Economics and Econometrics and Management Information Systems, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Healthcare Policy and Management (8 papers), Efficiency Analysis Using DEA (8 papers), Healthcare Operations and Scheduling Optimization (6 papers), Supply Chain and Inventory Management (3 papers), Electronic Health Records Systems (2 papers), Privacy-Preserving Technologies in Data (2 papers), Medical Coding and Health Information (2 papers) and Healthcare Quality and Management (2 papers). The work is most often cited by research in Management Science and Operations Research (517 citations), Emergency Medical Services (186 citations), Health Information Management (104 citations), Emergency Medicine (66 citations) and Management Information Systems (91 citations). Liam O’Neill has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Franklin Dexter, Markus Kraus, Kurt Heidenberger, Marion Sabine Rauner, Ram Ganeshan, George B. Kleindorfer, Arthur J. Hartz, Douglas John Lanska, John E. Tyworth and Alex Macario. Their work appears in journals such as Health Care Management Science, Anesthesia & Analgesia, Journal of Medical Systems, Medical Care Research and Review and Journal of Clinical Anesthesia.

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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