H. C. Hamaker
- Statistics, Probability and Uncertainty top 1%
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Industrial and Manufacturing Engineering top 5%
- Mechanical Engineering
- Co-authors
- O. L. DaviesAlbert H. BowkerR. van StrikD. MargerisonKevin StangeH. H. KuEeva SteneHarald Cramér
- Topics
- Advanced Statistical Process Monitoring (4 papers)Forecasting Techniques and Applications (2 papers)Advanced Statistical Methods and Models (2 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Journals
- Journal of the American Statistical AssociationBiometricsEuropean Journal of Operational Research
- Partner nations
- NetherlandsUnited KingdomFinland
In The Last Decade
H. C. Hamaker
22 papers receiving 423 citations
Peers
Comparison fields: 5 of 121
- Statistics, Probability and Uncertainty 253
- Statistics and Probability 160
- Management Science and Operations Research 123
- Industrial and Manufacturing Engineering 93
- Mechanical Engineering 33
Countries citing papers authored by H. C. Hamaker
This map shows the geographic impact of H. C. Hamaker'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 H. C. Hamaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. C. Hamaker more than expected).
Fields of papers citing papers by H. C. Hamaker
This network shows the impact of papers produced by H. C. Hamaker. 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 H. C. Hamaker. The network helps show where H. C. Hamaker may publish in the future.
Co-authorship network of co-authors of H. C. Hamaker
This figure shows the co-authorship network connecting the top 25 collaborators of H. C. Hamaker. A scholar is included among the top collaborators of H. C. Hamaker 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 H. C. Hamaker. H. C. Hamaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Repeatability and reproducibility: some problems in applied statistics | 1 |
| 2 | 2 | |
| 3 | 65 | |
| 4 | 43 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 58 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 87 | |
| 16 | 23 | |
| 17 | 26 | |
| 18 | 12 | |
| 19 | 73 | |
| 20 | 2 |
About H. C. Hamaker
H. C. Hamaker is a scholar working on Statistics, Probability and Uncertainty, General Decision Sciences and Statistics and Probability, having authored 26 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (4 papers), Forecasting Techniques and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (253 citations), Statistics and Probability (160 citations) and Management Science and Operations Research (123 citations). H. C. Hamaker has collaborated with scholars based in Netherlands, United Kingdom and Finland. Frequent co-authors include O. L. Davies, Albert H. Bowker, R. van Strik, D. Margerison, Kevin Stange, H. H. Ku, Eeva Stene, Harald Cramér and Arne J. Jensen. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and European Journal of Operational Research.
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.