S.S. Lam

646 citations
29 papers · 520 · h-index 11

Impact in

Papers in

S.S. Lam

26 papers receiving 497 citations

Peers

S.S. Lam
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 141
  • Information Systems and Management 66
  • Communication 45
  • Management Information Systems 49
  • Marketing 48
Replace Kellie B. Keeling with:
Kellie B. Keeling United States
Hemant V. Kher United States
Wentian Cui China
Carl Rebman United States
Jason K. Deane United States
Latif Al‐Hakim Australia
José Braga de Vasconcelos Portugal
Stefan Kirn Germany
Adnan Aktepe Türkiye
Wen-Yuan Jen Taiwan
S.S. Lam relative to Kellie B. Keeling United States Kellie B. Keeling's profile →
Citations per field
00.5×3.5×
Kellie B. Keeling · 1×
Citations per year

Countries citing papers authored by S.S. Lam

Since Specialization
Citations

This map shows the geographic impact of S.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 S.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 S.S. Lam more than expected).

Fields of papers citing papers by S.S. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015164
2 201578
3 200365
4 201239
5 200223
6 200222
7 201117
8 201112
9 201611
10 200511
11 200810
12 201910
13 200310
14 20029
15 20166
16 20135
17 19965
18 20075
19 20024
20 20113

About S.S. Lam

S.S. Lam is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Building and Construction, having authored 29 papers that have together received 520 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Optimization and Search Problems (5 papers), Assembly Line Balancing Optimization (4 papers), Vehicle Routing Optimization Methods (3 papers), Online and Blended Learning (2 papers), Knowledge Management and Sharing (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Information Systems and Management (66 citations), Communication (45 citations), Management Information Systems (49 citations) and Marketing (48 citations). S.S. Lam has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Eric W.T. Ngai, C.T. Ng, T.C.E. Cheng, Mikhail Y. Kovalyov, Xiaoqiang Cai, C.K.Y. Lin, Yun Kwok Wing, Yuying Zhang, Juliana C.N. Chan and Rose Z.W. Ting. Their work appears in journals such as International Journal of Production Economics, Computers & Industrial Engineering, Sleep Medicine, The International Journal of Life Cycle Assessment and BMC Psychiatry.

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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