Ib M. Skovgaard

3.5k citations
58 papers · 2.5k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Ib M. Skovgaard

55 papers receiving 2.3k citations

Hit Papers

Tensor Methods in Statistics. 1988 · 627 citations
6271988202620002013200400600

Peers

Ib M. Skovgaard
Comparison fields: 5 of 179
  • Statistics and Probability 648
  • Computational Mathematics 42
  • Statistics, Probability and Uncertainty 137
  • Finance 171
  • Agronomy and Crop Science 159
Replace H. V. Henderson with:
H. V. Henderson New Zealand
Paul D. McNicholas Canada
Mats Rudemo Sweden
Wenjiang J. Fu United States
D. J. Best Australia
Philippe Besse France
Alexander J. Collins United Kingdom
Jeng‐Min Chiou Taiwan
Kathleen Kocherlakota Canada
Sonja Greven Germany
Ib M. Skovgaard relative to H. V. Henderson New Zealand H. V. Henderson's profile →
Citations per field
00.5×4.2×
H. V. Henderson · 1×
Citations per year

Countries citing papers authored by Ib M. Skovgaard

Since Specialization
Citations

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

Fields of papers citing papers by Ib M. Skovgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ib M. Skovgaard. 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 Ib M. Skovgaard. The network helps show where Ib M. Skovgaard may publish in the future.

Co-authors

The 25 scholars most cited alongside Ib M. Skovgaard, 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 Ib M. Skovgaard Line = papers co-authored together Ib M. Skovgaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201533
2 201443
3 201446
4 20113
5 200846
6 200769
7 200642
8 200647
9 200563
10 200581
11 200477
12 200411
13 200338
14 199512
15 199510
16 19953
17
Tensor Methods in Statistics.
Hit paper breakdown →
1988627
18 1987124
19
A statistical model for competition experiments
19863
20 198638

About Ib M. Skovgaard

Ib M. Skovgaard is a scholar working on Statistics and Probability, Horticulture, Tourism, Leisure and Hospitality Management, Analytical Chemistry and Agronomy and Crop Science, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (8 papers), Spectroscopy and Chemometric Analyses (6 papers), Statistical Methods and Bayesian Inference (5 papers), Sensory Analysis and Statistical Methods (4 papers), Genetics and Plant Breeding (4 papers), Soil Geostatistics and Mapping (4 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Statistics and Probability (648 citations), Computational Mathematics (42 citations), Statistics, Probability and Uncertainty (137 citations), Finance (171 citations) and Agronomy and Crop Science (159 citations). Ib M. Skovgaard has collaborated with scholars based in Denmark, United Kingdom and Russia. Frequent co-authors include Peter McCullagh, Hanne Østergård, Lars Pødenphant Kiær, Christian Andreasen, Per B. Brockhoff, Bjarke Feenstra, Bo Martin Bibby, Michael Sørensen, Kim F. Michaelsen and Torben Martinussen. Their work appears in journals such as Food Quality and Preference, Bernoulli, The Annals of Statistics, Genetics and International Statistical 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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