Louisa Lam

7.0k total citations · 3 hit papers
112 papers, 4.3k citations indexed

About

Louisa Lam is a scholar working on General Health Professions, Computer Vision and Pattern Recognition and Clinical Psychology. According to data from OpenAlex, Louisa Lam has authored 112 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in General Health Professions, 30 papers in Computer Vision and Pattern Recognition and 24 papers in Clinical Psychology. Recurrent topics in Louisa Lam's work include Handwritten Text Recognition Techniques (25 papers), Image Processing and 3D Reconstruction (16 papers) and Healthcare professionals’ stress and burnout (16 papers). Louisa Lam is often cited by papers focused on Handwritten Text Recognition Techniques (25 papers), Image Processing and 3D Reconstruction (16 papers) and Healthcare professionals’ stress and burnout (16 papers). Louisa Lam collaborates with scholars based in Australia, Canada and China. Louisa Lam's co-authors include Ching Y. Suen, Wendy Cross, Virginia Plummer, C. Nadal, R. Legault, Jingping Zhang, Tan-Ha Mai, Yuanhui Luo, Yufang Guo and Robyn Cant and has published in prestigious journals such as Annals of Internal Medicine, Gastroenterology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Louisa Lam

100 papers receiving 4.0k citations

Hit Papers

Thinning methodologies-a comprehensive survey 1992 2026 2003 2014 1992 1997 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louisa Lam Australia 28 2.0k 769 652 599 433 112 4.3k
James J. Clark United States 35 1.7k 0.9× 523 0.7× 495 0.8× 650 1.1× 213 0.5× 229 6.4k
Lisa M. Brown United States 41 1.8k 0.9× 426 0.6× 787 1.2× 1.1k 1.8× 158 0.4× 280 6.5k
Scott Cohen United States 42 3.3k 1.7× 507 0.7× 236 0.4× 420 0.7× 1.1k 2.5× 121 5.9k
Misha Pavel United States 37 1.2k 0.6× 528 0.7× 1.1k 1.6× 122 0.2× 114 0.3× 165 5.2k
David Field United Kingdom 42 1.2k 0.6× 212 0.3× 847 1.3× 737 1.2× 368 0.8× 128 7.6k
Christopher J. Whitaker United Kingdom 25 592 0.3× 1.2k 1.6× 242 0.4× 182 0.3× 124 0.3× 39 3.0k
Parisa Rashidi United States 32 2.0k 1.0× 1.6k 2.0× 473 0.7× 109 0.2× 52 0.1× 144 6.3k
Nicos Maglaveras Greece 30 789 0.4× 875 1.1× 419 0.6× 71 0.1× 173 0.4× 308 5.3k
James F. Keller United States 23 947 0.5× 672 0.9× 103 0.2× 289 0.5× 120 0.3× 74 2.6k
David S. Ebert United States 42 3.4k 1.7× 894 1.2× 354 0.5× 83 0.1× 124 0.3× 265 6.8k

Countries citing papers authored by Louisa Lam

Since Specialization
Citations

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

Fields of papers citing papers by Louisa Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louisa Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Louisa Lam. A scholar is included among the top collaborators of Louisa Lam 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 Louisa Lam. Louisa Lam 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
1.
3.
Salehin, Masudus, Louisa Lam, & Muhammad Aziz Rahman. (2025). Smoking Among Healthcare Professionals in Australia: A Scoping Review. International Journal of Environmental Research and Public Health. 22(1). 113–113.
4.
Jacob, Élisabeth, et al.. (2025). Motivation of sessional teaching staff to remain employed in pre-registration nursing programs: A systematic review. Nurse Education in Practice. 86. 104433–104433.
5.
McInnes, Elizabeth, et al.. (2024). Nurses' Perspectives on the Use of Prophylactic Dressings to Prevent Pressure Injury: A Qualitative Study. Journal of Clinical Nursing. 34(5). 1866–1877.
6.
Plummer, Virginia, et al.. (2024). Effectiveness of Protection Motivation Theory on clinical factors, behavior change, and cardiovascular disease: An integrative review. International Journal of Nursing Studies Advances. 7. 100267–100267.
7.
Smith, Graeme D, et al.. (2023). The impact of COVID-19 on stress and resilience in undergraduate nursing students: A scoping review. Nurse Education in Practice. 72. 103785–103785. 13 indexed citations
8.
Laing, Bobbi, et al.. (2022). Identifying Gaps in the Nutritional Education of Nurses. ResearchSpace (University of Auckland). 18–18.
9.
Guo, Yufang, Kefang Wang, Wendy Cross, et al.. (2021). Quality of life in cancer patients with different preferences for nurse spiritual therapeutics: The role of psychological capital. Journal of Advanced Nursing. 78(4). 991–1000. 10 indexed citations
10.
Wang, Anni, Wen Zhang, Yufang Guo, et al.. (2021). Resilience-based multifactorial model of depression among people who lost an only-child in China.. PubMed. 46(1). 75–83. 2 indexed citations
11.
Cross, Wendy, Louisa Lam, Kaili Zhang, et al.. (2021). Willingness, preferred ways and potential barriers to use pre-exposure prophylaxis for HIV prevention among men who have sex with men in China. BMJ Open. 11(10). e053634–e053634. 16 indexed citations
12.
Guo, Yufang, et al.. (2021). Influence of Core Competence on Voice Behavior of Clinical Nurses: A Multicenter Cross-Sectional Study. Psychology Research and Behavior Management. Volume 14. 501–510. 9 indexed citations
13.
Wang, Yuwei, Louisa Lam, Wendy Cross, et al.. (2020). Severity of illness and distress in caregivers of patients with schizophrenia: Do internalized stigma and caregiving burden mediate the relationship?. Journal of Advanced Nursing. 77(3). 1258–1270. 17 indexed citations
14.
Cant, Robyn, et al.. (2020). Non-pharmacological depression therapies for older Chinese adults: A systematic review & meta-analysis. Archives of Gerontology and Geriatrics. 88. 104037–104037. 14 indexed citations
15.
Wang, Anni, Wendy Cross, Louisa Lam, et al.. (2019). Validation of the distress thermometer for caregivers of children and adolescents with schizophrenia. Journal of Advanced Nursing. 76(2). 687–698. 8 indexed citations
16.
Chen, Jiarui, Wendy Cross, Virginia Plummer, et al.. (2019). The risk factors of antenatal depression: A cross‐sectional survey. Journal of Clinical Nursing. 28(19-20). 3599–3609. 39 indexed citations
17.
Sun, Mei, Siyuan Tang, Jiarui Chen, et al.. (2019). A study protocol of mobile phone app-based cognitive behaviour training for the prevention of postpartum depression among high-risk mothers. BMC Public Health. 19(1). 710–710. 20 indexed citations
19.
Lam, Louisa, Seong‐Whan Lee, & Ching Y. Suen. (1995). Thinning methodologies—a comprehensive survey. IEEE Computer Society Press eBooks. 61–77. 5 indexed citations
20.
Fong, C. K. & Louisa Lam. (1981). On spectral theory and convexity. Transactions of the American Mathematical Society. 264(1). 59–75. 2 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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