C. G. E. Boender
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 5%
- Statistics and Probability top 2%
- Co-authors
- Freerk A. LootsmaAudris MockusA. H. G. Rinnooy KanG. T. TimmerLeen StougieJan TelgenRobert L. SmithC.L. Scheffer
- Topics
- Bayesian Methods and Mixture Models (5 papers)Insurance and Financial Risk Management (4 papers)Advanced Statistical Process Monitoring (4 papers)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
C. G. E. Boender
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Management Science and Operations Research 432
- Artificial Intelligence 363
- Computational Theory and Mathematics 272
- Control and Systems Engineering 175
- Statistics and Probability 150
Countries citing papers authored by C. G. E. Boender
This map shows the geographic impact of C. G. E. Boender'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. G. E. Boender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. G. E. Boender more than expected).
Fields of papers citing papers by C. G. E. Boender
This network shows the impact of papers produced by C. G. E. Boender. 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. G. E. Boender. The network helps show where C. G. E. Boender may publish in the future.
Co-authorship network of co-authors of C. G. E. Boender
This figure shows the co-authorship network connecting the top 25 collaborators of C. G. E. Boender. A scholar is included among the top collaborators of C. G. E. Boender 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. G. E. Boender. C. G. E. Boender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Asset Liability Management | 12 |
| 2 | Risk/Return Budgeting at Pension Plans | 2 |
| 3 | Solvency insurance with optioned portofolio's. An empirical investigation | 2 |
| 4 | Decision support of asset/liability management | 1 |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 271 | |
| 8 | 1 | |
| 9 | 418 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 88 | |
| 14 | 65 | |
| 15 | 22 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 10 | |
| 19 | Global optimization : a stochastic approach | 37 |
| 20 | 6 |
About C. G. E. Boender
C. G. E. Boender is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Numerical Analysis, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Insurance and Financial Risk Management (4 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Management Science and Operations Research (432 citations), Numerical Analysis (135 citations) and Statistics and Probability (150 citations). C. G. E. Boender has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Freerk A. Lootsma, Audris Mockus, A. H. G. Rinnooy Kan, G. T. Timmer, Leen Stougie, Jan Telgen, Robert L. Smith, C.L. Scheffer, Ran An and H. C. P. Berbee. Their work appears in journals such as Biometrika, Journal of Econometrics and Mathematics of Computation.
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.