Hans Nyquist

606 citations
35 papers · 410 · h-index 12

Impact in

Papers in

Hans Nyquist

32 papers receiving 354 citations

Peers

Hans Nyquist
Comparison fields: 5 of 99
  • Statistics and Probability 190
  • General Decision Sciences 14
  • Statistics, Probability and Uncertainty 44
  • Management Science and Operations Research 63
  • Nature and Landscape Conservation 53
Replace Julián de la Horra with:
Julián de la Horra Spain
George E. Policello United States
Juan Antonio Cano Spain
Monica Musio Italy
Michael E. Welch United States
Manuel Morán Spain
Stephen G. Walker United Kingdom
Francisco Javier Girón Spain
Athanasios C. Micheas United States
Hirokazu Yanagihara Japan
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Citations per field
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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 17 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199164
2 199553
3 195431
4 199230
5 198327
6 198820
7 198518
8 198816
9 200916
10 200015
11 198313
12 199012
13 199112
14 199911
15
Official statistics : methodology and applications in honour of Daniel Thorburn
201011
16 201310
17 19926
18 20196
19 19885
20 19855

About Hans Nyquist

Hans Nyquist is a scholar working on Statistics and Probability, Management Science and Operations Research, Applied Mathematics, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 35 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (17 papers), Statistical and numerical algorithms (8 papers), Statistical Methods and Inference (7 papers), Optimal Experimental Design Methods (7 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (190 citations), General Decision Sciences (14 citations), Statistics, Probability and Uncertainty (44 citations), Management Science and Operations Research (63 citations) and Nature and Landscape Conservation (53 citations). Hans Nyquist has collaborated with scholars based in Sweden, United States and Türkiye. Frequent co-authors include Lars Edenius, Stephen O. Rice, John Riordan, DON L. COURSEY, Tarmo M. Pukkila, Ali S. Hadi, Song-Gui Wang, Per Erik Legrell, Annika Isberg and Mattias Villani. Their work appears in journals such as Computational Statistics & Data Analysis, The Review of Economics and Statistics, Scandinavian Journal of Educational Research, Pharmaceutical Statistics 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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