Matthew Lukies

631 citations
41 papers · 239 · h-index 9

Impact in

Papers in

Matthew Lukies

34 papers receiving 237 citations

Peers

Matthew Lukies
Comparison fields: 5 of 67
  • Health Informatics 24
  • Radiology, Nuclear Medicine and Imaging 68
  • Surgery 70
  • Neurology 20
  • Emergency Medicine 9
Replace Ameen Barghi with:
Ameen Barghi United States
Masahiko Asami Japan
Abdülkerim Gökoğlu Türkiye
Jaykar R. Panchmatia United Kingdom
Rahul R. Karamchandani United States
Hayato Araki Japan
Eric M. Lyders United States
Tejaswini Deshmukh United States
Michael D. Luttrull United States
Niko Schwarz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Lukies

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lukies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202222
3 202321
4 202121
5 201713
6 202011
7 202310
8 20209
9 20228
10 20227
11 20207
12 20195
13 20244
14 20234
15 20194
16 20164
17 20213
18 20183
19 20173
20 20242

About Matthew Lukies

Matthew Lukies is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 239 indexed citations. Recurring topics across this work include Abdominal Trauma and Injuries (7 papers), Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Case Reports on Hematomas (2 papers), Radiology practices and education (2 papers), Hernia repair and management (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Surgery (70 citations), Neurology (20 citations) and Emergency Medicine (9 citations). Matthew Lukies has collaborated with scholars based in Australia, Singapore and Japan. Frequent co-authors include Warren Clements, Christina Andica, Toshiaki Akashi, Helen Kavnoudias, Koji Kamagata, Akifumi Hagiwara, Yuya Saito, Shigeki Aoki, Tim Joseph and Shohei Fujita. Their work appears in journals such as CardioVascular and Interventional Radiology, British Journal of Radiology, ANZ Journal of Surgery, Injury and Journal of Vascular and Interventional Radiology.

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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