R.W.L. Ip

10 papers receiving 726 citations

Peers

R.W.L. Ip
Comparison fields: 5 of 85
  • Medical Laboratory Technology 57
  • Management Information Systems 263
  • Industrial and Manufacturing Engineering 211
  • Strategy and Management 231
  • Management Science and Operations Research 171
Replace Katarzyna Antosz with:
Katarzyna Antosz Poland
W. Klingenberg Netherlands
Małgorzata Jasiulewicz–Kaczmarek Poland
Christer Stenström Sweden
Tarun Gupta United States
A R Mileham United Kingdom
Qinming Liu China
Peter Söderholm Sweden
Irene Roda Italy
Gopinath Chattopadhyay Australia
R.W.L. Ip relative to Katarzyna Antosz Poland Katarzyna Antosz's profile →
Citations per field
00.5×6.3×
Katarzyna Antosz · 1×
Citations per year

Countries citing papers authored by R.W.L. Ip

Since Specialization
Citations

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

Fields of papers citing papers by R.W.L. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.W.L. Ip. 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 R.W.L. Ip. The network helps show where R.W.L. Ip may publish in the future.

Co-authors

The 15 scholars most cited alongside R.W.L. Ip, 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 R.W.L. Ip Line = papers co-authored together R.W.L. Ip links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003264
2 2009193
3 2001102
4 200797
5 200160
6 200352
7 200228
8 199911
9 20006
10 20024

About R.W.L. Ip

R.W.L. Ip is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 10 papers that have together received 817 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (2 papers), Multi-Criteria Decision Making (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Scheduling and Optimization Algorithms (2 papers), Petri Nets in System Modeling (1 paper), Capital Investment and Risk Analysis (1 paper), Risk and Safety Analysis (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Medical Laboratory Technology (57 citations), Management Information Systems (263 citations), Industrial and Manufacturing Engineering (211 citations), Strategy and Management (231 citations) and Management Science and Operations Research (171 citations). R.W.L. Ip has collaborated with scholars based in Hong Kong and United Kingdom. Frequent co-authors include H.C.W. Lau, Felix T.S. Chan, Hing Kai Chan, Yan Chen, Siu‐Pang Ng, Chi‐Man Lawrence Wu, Y. H. Huang, L. Liu, Y. Y. Hung and Philip Chung. Their work appears in journals such as Journal of Materials Processing Technology, Materials Science and Engineering R Reports, International Journal of Production Economics, Expert Systems with Applications and Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

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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