C.M.H. Kuijpers
- Artificial Intelligence top 2%
- Industrial and Manufacturing Engineering top 2%
- Computational Theory and Mathematics top 2%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Co-authors
- Pedro LarrañagaIñaki InzaY. Yurramendi
- Topics
- Bayesian Modeling and Causal Inference (3 papers)AI-based Problem Solving and Planning (2 papers)Fault Detection and Control Systems (1 paper)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceArtificial Intelligence ReviewIEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
- Partner nations
- SpainNetherlands
In The Last Decade
C.M.H. Kuijpers
4 papers receiving 934 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 672
- Industrial and Manufacturing Engineering 240
- Computational Theory and Mathematics 218
- Management Science and Operations Research 136
- Information Systems 113
Countries citing papers authored by C.M.H. Kuijpers
This map shows the geographic impact of C.M.H. Kuijpers'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 C.M.H. Kuijpers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.M.H. Kuijpers more than expected).
Fields of papers citing papers by C.M.H. Kuijpers
This network shows the impact of papers produced by C.M.H. Kuijpers. 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 C.M.H. Kuijpers. The network helps show where C.M.H. Kuijpers may publish in the future.
Co-authorship network of co-authors of C.M.H. Kuijpers
This figure shows the co-authorship network connecting the top 25 collaborators of C.M.H. Kuijpers. A scholar is included among the top collaborators of C.M.H. Kuijpers 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 C.M.H. Kuijpers. C.M.H. Kuijpers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operatorsbreakdown → | 555 |
| 2 | 53 | |
| 3 | 169 | |
| 4 | 244 |
About C.M.H. Kuijpers
C.M.H. Kuijpers is a scholar working on Management Science and Operations Research, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), AI-based Problem Solving and Planning (2 papers) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (240 citations), Artificial Intelligence (672 citations) and Computational Theory and Mathematics (218 citations). C.M.H. Kuijpers has collaborated with scholars based in Spain and Netherlands. Frequent co-authors include Pedro Larrañaga, Iñaki Inza and Y. Yurramendi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence Review and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.
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.