Aonghus Lawlor

2.0k citations
79 papers · 1.1k indexed · h-index 18
Topics
Recommender Systems and Techniques (18 papers)Theoretical and Computational Physics (14 papers)Material Dynamics and Properties (13 papers)

In The Last Decade

Aonghus Lawlor

73 papers receiving 1.1k citations

Peers

Aonghus Lawlor
Comparison fields: 5 of 136
  • Artificial Intelligence 360
  • Materials Chemistry 291
  • Information Systems 255
  • Biomedical Engineering 194
  • Condensed Matter Physics 155
Replace P. R. Eastham with:
P. R. Eastham Ireland
Yujie Fan China
Ke Hu China
Weichung Wang Taiwan
Stephan Schneider Germany
David Wingate United States
Yuan Zhang China
Rachel Courtland United States
Sungdong Kim South Korea
Hua Zheng China
Aonghus Lawlor relative to P. R. Eastham Ireland P. R. Eastham's profile →
Citations per field
00.5×4.3×
P. R. Eastham · 1×
Citations per year

Countries citing papers authored by Aonghus Lawlor

Since Specialization
Citations

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

Fields of papers citing papers by Aonghus Lawlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aonghus Lawlor

This figure shows the co-authorship network connecting the top 25 collaborators of Aonghus Lawlor. A scholar is included among the top collaborators of Aonghus Lawlor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aonghus Lawlor. Aonghus Lawlor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Automatic muscle segmentation on healthy abdominal MRI using nnUNet
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3 0
4 6
5 0
6 3
7 3
8 3
9 6
10 1
11 1
12 6
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14 4
15 14
16 9
17
Running with Recommendation.
6
18
On the Use of Opinionated Explanations to Rank and Justify Recommendations
3
19 42
20 1

About Aonghus Lawlor

Aonghus Lawlor is a scholar working on Health Informatics, Condensed Matter Physics and Orthopedics and Sports Medicine, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (18 papers), Theoretical and Computational Physics (14 papers) and Material Dynamics and Properties (13 papers). The work is most often cited by research in Health Informatics (107 citations), Condensed Matter Physics (155 citations) and Information Systems (255 citations). Aonghus Lawlor has collaborated with scholars based in Ireland, United States and Italy. Frequent co-authors include Barry Smyth, Kenneth A. Dawson, P. Tartaglia, Neil Hurley, Ηλίας Τράγος, Paolo De Gregorio, Emanuela Zaccarelli, Giuseppe Foffi, Ronan P. Killeen and Francesco Sciortino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

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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