Grace Lin

7 papers receiving 308 citations

Peers

Grace Lin
Comparison fields: 5 of 38
  • Management Information Systems 251
  • Industrial and Manufacturing Engineering 165
  • Strategy and Management 102
  • Management Science and Operations Research 69
  • Management of Technology and Innovation 57
Replace G. Feigin with:
G. Feigin United States
Andi Cakravastia Indonesia
Jacques Lamothe France
Geoffrey A. Chua Singapore
Magdy Helal United States
Nobuto Nakamura Japan
Vincent C. S. Wiers Netherlands
E.B. Diks Netherlands
James A. Rappold United States
Daniel Sipper Israel
Grace Lin relative to G. Feigin United States G. Feigin's profile →
Citations per field
00.5×
G. Feigin · 1×
Citations per year

Countries citing papers authored by Grace Lin

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Lin. A scholar is included among the top collaborators of Grace Lin 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 Grace Lin. Grace Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 10
2
Mining Frequent Patterns with Multiple Item Support Thresholds in Tourism Information Databases.
2
3
A preliminary study of applying “design-chain operations reference-model” (DCOR) to collaborative substrate designs
1
4
IBM Research Report Supply and Demand Synchronization in Assemble-To-Order Supply Chains
2
5 80
6 177
7 68
8 6

About Grace Lin

Grace Lin is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 8 papers that have together received 346 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Scheduling and Optimization Algorithms (3 papers) and Product Development and Customization (2 papers). The work is most often cited by research in Management Information Systems (251 citations), Industrial and Manufacturing Engineering (165 citations) and Management of Technology and Innovation (57 citations). Grace Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Markus Ettl, David D. Yao, G. Feigin, Feng Cheng, Sugato Bagchi, Lisa Koenig, Steve Buckley, Rob Allan, Yi‐Chun Chen and Ya-Hui Chan. Their work appears in journals such as Operations Research, Computers & Industrial Engineering and Manufacturing & Service Operations Management.

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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