Laughlin Dawes

466 total citations
19 papers, 299 citations indexed

About

Laughlin Dawes is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Oral Surgery. According to data from OpenAlex, Laughlin Dawes has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oral Surgery. Recurrent topics in Laughlin Dawes's work include Dental Radiography and Imaging (4 papers), Medical Imaging and Analysis (3 papers) and Head and Neck Anomalies (2 papers). Laughlin Dawes is often cited by papers focused on Dental Radiography and Imaging (4 papers), Medical Imaging and Analysis (3 papers) and Head and Neck Anomalies (2 papers). Laughlin Dawes collaborates with scholars based in Australia, China and United States. Laughlin Dawes's co-authors include Arcot Sowmya, Ronaldo Bova, Wei Wen, Paul Carter, Perminder S. Sachdev, Daniel Moses, Henry Brodaty, Matthew Paradise, John D. Crawford and Julian N. Trollor and has published in prestigious journals such as Neurology, Journal of Affective Disorders and Journal of the Neurological Sciences.

In The Last Decade

Laughlin Dawes

19 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laughlin Dawes Australia	11	64	63	58	57	41	19	299
Elizabeth B. Brooks United States	7	50 0.8×	49 0.8×	148 2.6×	77 1.4×	32 0.8×	10	527
Nina Ventura Brazil	13	54 0.8×	18 0.3×	38 0.7×	108 1.9×	77 1.9×	50	499
Yoo Jin Lee South Korea	11	80 1.3×	152 2.4×	51 0.9×	38 0.7×	132 3.2×	43	399
Przemysław Podgórski Poland	12	37 0.6×	66 1.0×	38 0.7×	87 1.5×	153 3.7×	32	389
Nisha Gadgil United States	11	25 0.4×	59 0.9×	95 1.6×	137 2.4×	32 0.8×	40	373
Úna Clancy United Kingdom	10	32 0.5×	40 0.6×	104 1.8×	48 0.8×	64 1.6×	27	387
Hongwu Zeng China	12	27 0.4×	48 0.8×	26 0.4×	51 0.9×	113 2.8×	69	482
Karlo J. Lizárraga United States	14	75 1.2×	90 1.4×	306 5.3×	32 0.6×	79 1.9×	45	629
Oded Gilad Israel	14	45 0.7×	66 1.0×	15 0.3×	60 1.1×	18 0.4×	40	461
Dandu Ravi Varma India	10	56 0.9×	49 0.8×	95 1.6×	104 1.8×	35 0.9×	25	309

Countries citing papers authored by Laughlin Dawes

Since Specialization

Citations

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

Fields of papers citing papers by Laughlin Dawes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laughlin Dawes

This figure shows the co-authorship network connecting the top 25 collaborators of Laughlin Dawes. A scholar is included among the top collaborators of Laughlin Dawes 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 Laughlin Dawes. Laughlin Dawes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Blair, Alan, et al.. (2023). Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting. Informatics in Medicine Unlocked. 38. 101238–101238. 9 indexed citations

Blair, Alan, et al.. (2022). Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. 2022 26th International Conference on Pattern Recognition (ICPR). 4630–4636. 2 indexed citations

Paradise, Matthew, John D. Crawford, Ben C. P. Lam, et al.. (2021). Association of Dilated Perivascular Spaces With Cognitive Decline and Incident Dementia. Neurology. 96(11). e1501–e1511. 65 indexed citations

Tay, Kevin L., et al.. (2021). Haemorrhage and Calcification on Susceptibility-Weighted Imaging. Clinical Neuroradiology. 32(3). 705–715. 1 indexed citations

Sowmya, Arcot, et al.. (2020). A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. 726–730. 11 indexed citations

Paradise, Matthew, Laughlin Dawes, John D. Crawford, et al.. (2019). Development and validation of a rating scale for perivascular spaces on 3T MRI. Journal of the Neurological Sciences. 409. 116621–116621. 14 indexed citations

Wen, Wei, Andrew Frankland, Vivian Leung, et al.. (2018). White matter hyperintensities in young individuals with bipolar disorder or at high genetic risk. Journal of Affective Disorders. 245. 228–236. 11 indexed citations

Moses, Daniel, et al.. (2018). Peripheral bronchial identification on chest CT using unsupervised machine learning. International Journal of Computer Assisted Radiology and Surgery. 13(9). 1379–1395. 2 indexed citations

Sowmya, Arcot, et al.. (2018). Deep fusion pipeline for mild cognitive impairment diagnosis. 1394–1997. 26 indexed citations

10.

Dardis, Christopher, Kelly Milton, Lynn S. Ashby, et al.. (2017). Atypical Teratoid Rhabdoid Tumor: Two Case Reports and an Analysis of Adult Cases with Implications for Pathophysiology and Treatment. Frontiers in Neurology. 8. 247–247. 27 indexed citations

11.

Koncz, Rebecca, Adith Mohan, Laughlin Dawes, et al.. (2017). Incidental findings on cerebral MRI in twins: the Older Australian Twins Study. Brain Imaging and Behavior. 12(3). 860–869. 11 indexed citations

12.

Zhou, Jianlong, et al.. (2017). Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. 1–6. 27 indexed citations

13.

Sowmya, Arcot, et al.. (2017). Deep Learning Approach for Classification of Mild Cognitive Impairment Subtypes. 655–662. 5 indexed citations

14.

Sowmya, Arcot, et al.. (2016). Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data. 620–629. 1 indexed citations

15.

Figueira, Edwin C., Penny McKelvie, Robert I. Smee, et al.. (2014). Successful “Medical” Orbital Decompression With Adjunctive Rituximab for Severe Visual Loss in IgG4-Related Orbital Inflammatory Disease With Orbital Myositis. Ophthalmic Plastic and Reconstructive Surgery. 30(5). e122–e125. 28 indexed citations

16.

Dawes, Laughlin, et al.. (2004). Multiplanar reconstruction in adult intussusception: Case report and literature review. Australasian Radiology. 48(1). 74–76. 14 indexed citations

17.

Dawes, Laughlin, et al.. (2003). Retropharyngeal abscess in children. Journal of Pediatric Surgery. 38(6). 990–990. 3 indexed citations

18.

Dawes, Laughlin, Ronaldo Bova, & Paul Carter. (2002). Retropharyngeal abscess in children. ANZ Journal of Surgery. 72(6). 417–420. 34 indexed citations

19.

Dawes, Laughlin, et al.. (2000). Nuchal Fibroma should be recognized as a new Extracolonic Manifestation of Gardner‐Variant Familial Adenomatous Polyposis. Australian and New Zealand Journal of Surgery. 70(11). 824–826. 8 indexed citations

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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