C. G. E. Boender

24 papers receiving 1.3k citations

Peers

C. G. E. Boender
Comparison fields: 5 of 132
  • Management Science and Operations Research 479
  • Numerical Analysis 184
  • Computational Theory and Mathematics 352
  • Statistics and Probability 162
  • Artificial Intelligence 460
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Countries citing papers authored by C. G. E. Boender

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 22 scholars most cited alongside C. G. E. Boender, 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 C. G. E. Boender Line = papers co-authored together C. G. E. Boender links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989457
2 1991302
3 1982199
4 1987106
5 198770
6 198557
7 199552
8
Global optimization : a stochastic approach
198046
9 198330
10 199127
11 198726
12
Modelling and management of assets and liabilities of pension plans in The Netherlands
199623
13 199215
14 198515
15 199110
16 19859
17 19916
18 19895
19
Risk/return budgeting at pension plans
20004
20 19882

About C. G. E. Boender

C. G. E. Boender is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Demography, Statistics and Probability and Artificial Intelligence, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Advanced Statistical Process Monitoring (4 papers), Advanced Optimization Algorithms Research (3 papers), Insurance and Financial Risk Management (3 papers), Statistical Methods and Inference (3 papers), demographic modeling and climate adaptation (3 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Management Science and Operations Research (479 citations), Numerical Analysis (184 citations), Computational Theory and Mathematics (352 citations), Statistics and Probability (162 citations) and Artificial Intelligence (460 citations). C. G. E. Boender has collaborated with scholars based in Netherlands, United States and Poland. Frequent co-authors include A. H. G. Rinnooy Kan, Freerk A. Lootsma, Gerrit T. Timmer, Leen Stougie, H. Edwin Romeijn, Robert L. Smith, Jan Telgen, Carel L. Scheffer, H. C. P. Berbee and Ran An. Their work appears in journals such as Mathematical Programming, Biometrika, Mathematics of Computation, Journal of Global Optimization and INFORMS Journal on Applied Analytics.

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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