Peter Chu

52 papers receiving 765 citations

Peers

Peter Chu
Comparison fields: 5 of 82
  • Management Information Systems 610
  • Strategy and Management 371
  • Industrial and Manufacturing Engineering 259
  • Management Science and Operations Research 143
  • Control and Systems Engineering 128
Replace Kenneth Gilbert with:
Kenneth Gilbert United States
Willem K. Klein Haneveld Netherlands
Roger D.H. Warburton United States
Seyed Gholamreza Jalali Naini Iran
Christoph Schneeweiß Germany
David C. Heath United States
María Araceli Garín Martín Spain
Hans G. Daellenbach New Zealand
Hamdy A. Taha United States
Lamia Berrah France
Peter Chu relative to Kenneth Gilbert United States Kenneth Gilbert's profile →
Citations per field
00.5×4.1×
Kenneth Gilbert · 1×
Citations per year

Countries citing papers authored by Peter Chu

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Chu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 17
3 9
4 1
5 7
6 7
7 5
8 12
9 4
10 26
11 40
12 26
13
Backward Fokker-Planck Equation For Determining Model Predictability With Uncertain Initial Errors
0
14 11
15 5
16 1
17
A three-point non-uniform combined compact difference scheme
2
18 28
19 5
20 168

About Peter Chu

Peter Chu is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 54 papers that have together received 836 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (26 papers), Advanced Queuing Theory Analysis (13 papers) and Multi-Criteria Decision Making (9 papers). The work is most often cited by research in Management Information Systems (610 citations), Industrial and Manufacturing Engineering (259 citations) and Strategy and Management (371 citations). Peter Chu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kun‐Jen Chung, Peter Deng, Kuo-Lung Yang, Chenwu Fan, Kuo-Chen Hung, Huidong Jin, Kuei‐Hu Chang, Chia‐Nan Wang, Tang K. Tang and Shy‐Der Lin. Their work appears in journals such as Journal of Computational Physics, European Journal of Operational Research and Expert Systems with Applications.

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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