Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Learning Improvement Heuristics for Solving Routing Problems
2021184 citationsYaoxin Wu, Wen Song et al.IEEE Transactions on Neural Networks and Learning Systemsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of Andrew Lim'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 Andrew Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lim more than expected).
This network shows the impact of papers produced by Andrew Lim. 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 Andrew Lim. The network helps show where Andrew Lim may publish in the future.
Co-authorship network of co-authors of Andrew Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Lim.
A scholar is included among the top collaborators of Andrew Lim 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 Andrew Lim. Andrew Lim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhu, Jianfeng, et al.. (2008). A vehicle routing system to solve a periodic vehicle routing problem for a food chain in Hong Kong. Innovative Applications of Artificial Intelligence. 3. 1763–1768.4 indexed citations
15.
Lim, Andrew, et al.. (2006). TPBOSCourier: a transportation procurement system (for the procurement of courier services). Innovative Applications of Artificial Intelligence. 2. 1712–1719.
16.
Lim, Andrew, Zhaowei Miao, Brian Rodrigues, & Zhou Xu. (2004). Transshipment through crossdocks with inventory and time windows. Lecture notes in computer science. 3106. 122–131.1 indexed citations
17.
Lim, Andrew, Brian Rodrigues, & Fei Xiao. (2003). A new node Centroid algorithm for bandwidth minimization. International Joint Conference on Artificial Intelligence. 1544–1545.4 indexed citations
18.
Lim, Andrew, et al.. (2003). The General Yard Allocation Problem. Lecture notes in computer science. 2724. 1986–1997.1 indexed citations
19.
Lau, Hoong Chuin, et al.. (2000). Solving a Supply Chain Optimization Problem Collaboratively. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 780–785.4 indexed citations
20.
Chee, Yeow Meng & Andrew Lim. (1992). A Complex Approach to the Security of Statistical Databases Subject to Off-line Sum Queries. 373–384.1 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.