Van Lam

489 citations
18 papers · 325 · h-index 6

Impact in

    • Image Processing Techniques and Applications
    • Advanced Optical Imaging Technologies
  • Biophysics top 5%
    • Cell Image Analysis Techniques

Papers in

Van Lam

15 papers receiving 302 citations

Peers

Van Lam
Comparison fields: 5 of 64
  • Media Technology 125
  • Biophysics 73
  • Atomic and Molecular Physics, and Optics 214
  • Computer Vision and Pattern Recognition 122
  • Radiation 46
Replace Guillaume Maucort with:
Guillaume Maucort France
Darina Roitshtain Israel
Corinne Moratal Switzerland
Keyvan Jaferzadeh South Korea
Will J. Eldridge United States
Nir A. Turko Israel
Zhuoshi Li China
Soorya Pradeep United States
Mahn Jae Lee South Korea
Thang L. Nguyen United States
Van Lam relative to Guillaume Maucort France Guillaume Maucort's profile →
Citations per field
00.5×1.5×2.5×
Guillaume Maucort · 1×
Citations per year

Countries citing papers authored by Van Lam

Since Specialization
Citations

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

Fields of papers citing papers by Van Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Van Lam, 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 Van Lam Line = papers co-authored together Van Lam links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017171
2 201758
3 202038
4 202117
5 201914
6 202010
7 20205
8 20174
9 20202
10 20251
11 20231
12 20201
13 20241
14 20221
15 20211
16 20240
17 20240
18 20120

About Van Lam

Van Lam is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics, Media Technology, Cell Biology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 325 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (9 papers), Cell Image Analysis Techniques (8 papers), Image Processing Techniques and Applications (4 papers), Cellular Mechanics and Interactions (3 papers), Optical measurement and interference techniques (2 papers), Cancer Cells and Metastasis (2 papers), Skin and Cellular Biology Research (2 papers) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Media Technology (125 citations), Biophysics (73 citations), Atomic and Molecular Physics, and Optics (214 citations), Computer Vision and Pattern Recognition (122 citations) and Radiation (46 citations). Van Lam has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Christopher B. Raub, Thanh Nguyen, George Nehmetallah, Lin‐Ching Chang, Vy Bui, Byung Min Chung, Anh Thai, Joseph A. Christodoulides, Syed Muhammad Anwar and Marius George Linguraru. Their work appears in journals such as Cytometry Part A, Journal of Biomedical Optics, Neuro-Oncology, Cell Adhesion & Migration and Optics Express.

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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