Sarah S. Lam

About

Sarah S. Lam is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Sarah S. Lam has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Sarah S. Lam’s work include Supply Chain Resilience and Risk Management (4 papers), Pressure Ulcer Prevention and Management (4 papers) and Scheduling and Optimization Algorithms (4 papers). Sarah S. Lam is often cited by papers focused on Supply Chain Resilience and Risk Management (4 papers), Pressure Ulcer Prevention and Management (4 papers) and Scheduling and Optimization Algorithms (4 papers). Sarah S. Lam collaborates with scholars based in United States. Sarah S. Lam's co-authors include Faisal Aqlan, Bichen Zheng, Sang Won Yoon, Pratik Parikh, Mohammad T. Khasawneh, Krishnaswami Srihari, Jinghe Zhang, Alice E. Smith, Purushothaman Damodaran and Sang Won Yoon and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Sarah S. Lam i

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Fields of papers citing papers by Sarah S. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah S. Lam

Since Specialization

Citations

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

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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