Louisa Lam

7.0k citations
112 papers · 4.3k indexed · 3 hit papers · h-index 28
Topics
Handwritten Text Recognition Techniques (25 papers)Image Processing and 3D Reconstruction (16 papers)Healthcare professionals’ stress and burnout (16 papers)
Partner nations
AustraliaCanadaChina

In The Last Decade

Louisa Lam

100 papers receiving 4.0k citations

Hit Papers

Thinning methodologies-a comprehensive survey19922026200320141992199720174008001.2k

Peers

Louisa Lam
Comparison fields: 5 of 191
  • Computer Vision and Pattern Recognition 2.0k
  • Artificial Intelligence 769
  • General Health Professions 652
  • Clinical Psychology 599
  • Media Technology 433
Replace David Field with:
David Field United Kingdom
James J. Clark United States
Dev S. Pathak United States
Andrew Hill Australia
Scott Cohen United States
Ian W. Ricketts United Kingdom
Lennart Svensson Sweden
Kup‐Sze Choi Hong Kong
Lisa M. Brown United States
Louisa Lam relative to David Field United Kingdom David Field's profile →
Citations per field
00.5×3.6×
David Field · 1×
Citations per year

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
#WorkIndexed citations
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11 16
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16 39
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Thinning methodologies—a comprehensive survey
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About Louisa Lam

Louisa Lam is a scholar working on Research and Theory, Computer Vision and Pattern Recognition and General Health Professions, having authored 112 papers that have together received 4.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (25 papers), Image Processing and 3D Reconstruction (16 papers) and Healthcare professionals’ stress and burnout (16 papers). The work is most often cited by research in Research and Theory (96 citations), Computer Vision and Pattern Recognition (2.0k citations) and Media Technology (433 citations). Louisa Lam has collaborated with scholars based in Australia, Canada and China. Frequent 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. Their work appears in journals such as Annals of Internal Medicine, Gastroenterology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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