Joakim Nyberg
- Statistics and Probability top 2%
- Pharmacology top 10%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Molecular Biology
- Co-authors
- Mats O. KarlssonAndrew C. HookerE. Niclas JonssonStefanie HennigJakob RibbingOla CasterSebastian UeckertMartin Bergstrand
- Topics
- Statistical Methods in Clinical Trials (16 papers)Optimal Experimental Design Methods (11 papers)Statistical Methods and Bayesian Inference (7 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Joakim Nyberg
41 papers receiving 549 citations
Peers
Comparison fields: 5 of 108
- Statistics and Probability 191
- Pharmacology 92
- Computational Theory and Mathematics 85
- Management Science and Operations Research 85
- Molecular Biology 80
Countries citing papers authored by Joakim Nyberg
This map shows the geographic impact of Joakim Nyberg'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 Joakim Nyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joakim Nyberg more than expected).
Fields of papers citing papers by Joakim Nyberg
This network shows the impact of papers produced by Joakim Nyberg. 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 Joakim Nyberg. The network helps show where Joakim Nyberg may publish in the future.
Co-authorship network of co-authors of Joakim Nyberg
This figure shows the co-authorship network connecting the top 25 collaborators of Joakim Nyberg. A scholar is included among the top collaborators of Joakim Nyberg 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 Joakim Nyberg. Joakim Nyberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | Implicit and efficient handling of missing covariate information using full random effects modelling | 1 |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | Handling Below Limit of Quantification Data in Optimal Trial Design | 5 |
| 12 | 1 | |
| 13 | 67 | |
| 14 | 35 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 42 | |
| 20 | 7 |
About Joakim Nyberg
Joakim Nyberg is a scholar working on Statistics and Probability, Management Science and Operations Research and Anesthesiology and Pain Medicine, having authored 45 papers that have together received 570 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (11 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics and Probability (191 citations), Management Science and Operations Research (85 citations) and Pharmacology (51 citations). Joakim Nyberg has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Mats O. Karlsson, Andrew C. Hooker, E. Niclas Jonsson, Stefanie Hennig, Jakob Ribbing, Ola Caster, Sebastian Ueckert, Martin Bergstrand, Ulrika S. H. Simonsson and Caroline Bazzoli. Their work appears in journals such as Statistics in Medicine, Pharmaceutical Research and Clinical Pharmacology & Therapeutics.
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.