Shui Lam

15 papers receiving 344 citations

Peers

Shui Lam
Comparison fields: 5 of 85
  • Family Practice 34
  • Infectious Diseases 183
  • Virology 22
  • Emergency Medicine 40
  • General Health Professions 79
Replace Kalaiselvan Ganapathy with:
Kalaiselvan Ganapathy India
Debra Dekker United States
Vivian M. Yeh United States
Tom Roper United Kingdom
Fátima Muñoz United States
Samantha Guitard Canada
Susan McDonald United Kingdom
Tanya Millard Australia
Hasan Sheikh Canada
Michele Santacatterina United States
Shui Lam relative to Kalaiselvan Ganapathy India Kalaiselvan Ganapathy's profile →
Citations per field
00.5×5.2×
Kalaiselvan Ganapathy · 1×
Citations per year

Countries citing papers authored by Shui Lam

Since Specialization
Citations

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

Fields of papers citing papers by Shui Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shui 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 Shui Lam Line = papers co-authored together Shui Lam links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002121
2 200273
3 201340
4 201238
5 200130
6 200329
7 20238
8 20017
9 20095
10 19754
11 20133
12 20213
13 20152
14 20251
15 20091
16 20080
17
An empirical approach to communication and performance modeling for message passing parallel applications on cluster systems
20090

About Shui Lam

Shui Lam is a scholar working on Infectious Diseases, Computer Networks and Communications, Strategy and Management, Clinical Psychology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), Distributed and Parallel Computing Systems (2 papers), Scheduling and Optimization Algorithms (2 papers), Family Caregiving in Mental Illness (2 papers), Video Analysis and Summarization (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Vehicle Routing Optimization Methods (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Family Practice (34 citations), Infectious Diseases (183 citations), Virology (22 citations), Emergency Medicine (40 citations) and General Health Professions (79 citations). Shui Lam has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Alex Molassiotis, Wei‐Jean Chung, Patrick Callaghan, Sheila Twinn, Tai-Shing Lau, Weilun Chung, Violeta López, Jessica C. F. Kwok, Vincent Pang and Ka Ming Ngai. Their work appears in journals such as AIDS Care, International Journal of STD & AIDS, AIDS Patient Care and STDs, Computers & Electrical Engineering and Multimedia Tools and Applications.

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.

Explore authors with similar magnitude of impact