Joakim Nyberg

36 papers and 495 indexed citations i.

About

Joakim Nyberg is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Joakim Nyberg has authored 36 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Joakim Nyberg’s work include Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Joakim Nyberg is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Joakim Nyberg collaborates with scholars based in Sweden, United States and United Kingdom. Joakim Nyberg's 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 Stephen B. Duffull and has published in prestigious journals such as Statistics in Medicine, Pharmaceutical Research and Clinical Pharmacology & Therapeutics.

In The Last Decade

Co-authorship network of co-authors of Joakim Nyberg i

Fields of papers citing papers by Joakim Nyberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Joakim Nyberg

Since Specialization
Citations

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).

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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