Joakim Nyberg

72 total papers · 805 total citations
44 papers, 561 citations indexed

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 44 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 8 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 (11 papers) and Statistical Methods and Bayesian Inference (7 papers). Joakim Nyberg is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (11 papers) and Statistical Methods and Bayesian Inference (7 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, Ola Caster, Jakob Ribbing, Sebastian Ueckert, Ulrika S. H. Simonsson, Martin Bergstrand and France Mentré and has published in prestigious journals such as Statistics in Medicine, Pharmaceutical Research and Clinical Pharmacology & Therapeutics.

In The Last Decade

Joakim Nyberg

39 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joakim Nyberg 188 92 85 82 79 44 561
Michael K. Smith 170 0.9× 57 0.6× 45 0.5× 78 1.0× 42 0.5× 31 550
Kenneth G. Kowalski 158 0.8× 50 0.5× 46 0.5× 27 0.3× 57 0.7× 24 518
Matthew M. Hutmacher 168 0.9× 40 0.4× 41 0.5× 26 0.3× 92 1.2× 31 552
Karey Kowalski 189 1.0× 46 0.5× 80 0.9× 46 0.6× 115 1.5× 17 524
Lutz Harnisch 106 0.6× 72 0.8× 75 0.9× 12 0.1× 140 1.8× 31 567
Kourosh Parivar 163 0.9× 35 0.4× 68 0.8× 19 0.2× 132 1.7× 21 639
Névine Zariffa 105 0.6× 52 0.6× 16 0.2× 42 0.5× 48 0.6× 29 644
Naitee Ting 260 1.4× 27 0.3× 60 0.7× 165 2.0× 46 0.6× 56 552
Maria C. Kjellsson 85 0.5× 54 0.6× 30 0.4× 18 0.2× 149 1.9× 54 553
Eleanor D. Campbell 83 0.4× 52 0.6× 76 0.9× 110 1.3× 84 1.1× 21 540

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).

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.

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

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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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