Edward Lam
Impact in
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- Vehicle Routing Optimization Methods
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- Robotic Path Planning Algorithms
Papers in
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- Vehicle Routing Optimization Methods 8
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- Robotic Path Planning Algorithms 5
- Co-authors
- Peter J. Stuckey (10 shared papers)Pierre Le Bodic (4 shared papers)Pascal Van Hentenryck (5 shared papers)Guy Desaulniers (1 shared paper)Daniel Harabor (4 shared papers)Philip Kilby (2 shared papers)Vicky H. Mak-Hau (1 shared paper)João P. Marques-Silva (2 shared papers)
- Journals
- Computers & Operations Research (3 papers)Constraints (2 papers)Transportation Science (2 papers)Lecture notes in computer science (5 papers)Operations Research Forum (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Edward Lam
18 papers receiving 277 citations
Peers
Comparison fields: 5 of 24
- Industrial and Manufacturing Engineering 113
- Computer Vision and Pattern Recognition 99
- Numerical Analysis 10
- Automotive Engineering 11
- Computer Networks and Communications 18
Countries citing papers authored by Edward Lam
This map shows the geographic impact of Edward 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 Edward Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Lam more than expected).
Fields of papers citing papers by Edward Lam
This network shows the impact of papers produced by Edward 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 Edward Lam. The network helps show where Edward Lam may publish in the future.
Co-authors
The 19 scholars most cited alongside Edward Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2019 | 45 | |
| 3 | 2022 | 35 | |
| 4 | 2016 | 31 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 |
About Edward Lam
Edward Lam is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 19 papers that have together received 281 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (8 papers), Robotic Path Planning Algorithms (5 papers), Explainable Artificial Intelligence (XAI) (2 papers), Complexity and Algorithms in Graphs (2 papers), Optimization and Search Problems (1 paper), Organ Donation and Transplantation (1 paper), Electric Vehicles and Infrastructure (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (113 citations), Computer Vision and Pattern Recognition (99 citations), Numerical Analysis (10 citations), Automotive Engineering (11 citations) and Computer Networks and Communications (18 citations). Edward Lam has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Peter J. Stuckey, Pierre Le Bodic, Pascal Van Hentenryck, Guy Desaulniers, Daniel Harabor, Philip Kilby, Vicky H. Mak-Hau, João P. Marques-Silva, Alexey Ignatiev and Sven Koenig. Their work appears in journals such as Computers & Operations Research, Constraints, Transportation Science, Lecture notes in computer science and Operations Research Forum.
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.