Hans Nyquist

604 citations
31 papers · 368 · h-index 12

Impact in

Papers in

Hans Nyquist

30 papers receiving 317 citations

Peers

Hans Nyquist
Comparison fields: 5 of 97
  • Statistics and Probability 167
  • General Decision Sciences 11
  • Statistics, Probability and Uncertainty 33
  • Nature and Landscape Conservation 50
  • Management Science and Operations Research 45
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Citations per year

Countries citing papers authored by Hans Nyquist

Since Specialization
Citations

This map shows the geographic impact of Hans Nyquist'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 Hans Nyquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Nyquist more than expected).

Fields of papers citing papers by Hans Nyquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Nyquist. 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 Hans Nyquist. The network helps show where Hans Nyquist may publish in the future.

Co-authors

The 15 scholars most cited alongside Hans Nyquist, 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 Hans Nyquist Line = papers co-authored together Hans Nyquist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199161
2 199551
3 198327
4 199227
5 195425
6 198819
7 200915
8 200015
9 198813
10 199012
11 198512
12 199111
13 198311
14 199910
15
Official statistics : methodology and applications in honour of Daniel Thorburn
201010
16 19926
17 20196
18 20145
19 19885
20
Recent Studies on Lp-Norm Estimation
19805

About Hans Nyquist

Hans Nyquist is a scholar working on Statistics and Probability, Management Science and Operations Research, Computational Theory and Mathematics, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 368 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Optimal Experimental Design Methods (6 papers), Statistical and numerical algorithms (6 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Statistical Methods in Clinical Trials (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (167 citations), General Decision Sciences (11 citations), Statistics, Probability and Uncertainty (33 citations), Nature and Landscape Conservation (50 citations) and Management Science and Operations Research (45 citations). Hans Nyquist has collaborated with scholars based in Sweden, United States and Türkiye. Frequent co-authors include Lars Edenius, Don Coursey, S. O. Rice, John Riordan, Tarmo Pukkila, Ali S. Hadi, Song-Gui Wang, Per Erik Legrell, A. Isberg and Nuran Bayram. Their work appears in journals such as Computational Statistics & Data Analysis, The Review of Economics and Statistics, Biometrika, Statistical Papers and International Migration Review.

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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