Ulla Holst

855 citations
28 papers · 613 indexed · h-index 12

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
  • Finance top 10%
    • Financial Risk and Volatility Modeling

Papers in

Ulla Holst

28 papers receiving 575 citations

Peers

Ulla Holst
Comparison fields: 5 of 105
  • Statistics and Probability 242
  • Finance 74
  • Statistics, Probability and Uncertainty 49
  • Management Science and Operations Research 67
  • Environmental Engineering 52
Replace L. Kavalieris with:
L. Kavalieris New Zealand
Joan G. Staniswalis United States
Céline Lévy‐Leduc France
Changha Hwang South Korea
John T. Ormerod Australia
Lingzhou Xue United States
Christian Léger Canada
Y. P. Mack United States
Lan Wang United States
Jerome Klotz United States
Ulla Holst relative to L. Kavalieris New Zealand L. Kavalieris's profile →
Citations per field
00.5×1.6×
L. Kavalieris · 1×
Citations per year

Countries citing papers authored by Ulla Holst

Since Specialization
Citations

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

Fields of papers citing papers by Ulla Holst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ulla Holst, 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 Ulla Holst Line = papers co-authored together Ulla Holst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997139
2 198989
3 199787
4 199451
5 200437
6 199128
7 199924
8 199624
9 199217
10 199815
11 200512
12 200811
13 198910
14 200610
15 20076
16 20056
17
Background and Foreground Modeling Using an Online EM Algorithm
20066
18 19876
19 20085
20 19945

About Ulla Holst

Ulla Holst is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Environmental Engineering and Control and Systems Engineering, having authored 28 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (6 papers), Single-cell and spatial transcriptomics (3 papers), Advanced Statistical Process Monitoring (3 papers), Meteorological Phenomena and Simulations (3 papers), Combustion and flame dynamics (3 papers), Oceanographic and Atmospheric Processes (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Statistics and Probability (242 citations), Finance (74 citations), Statistics, Probability and Uncertainty (49 citations), Management Science and Operations Research (67 citations) and Environmental Engineering (52 citations). Ulla Holst has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include David Ruppert, M. P. Wand, Ola Hössjer, Georg Lindgren, Jan Holst, Jan Holst, Anders Malmberg, Stina Oredsson, H. Edner and P. Ragnarson. Their work appears in journals such as Environmetrics, Stochastic Processes and their Applications, Mathematical Biosciences, IEEE Transactions on Information Theory and Technometrics.

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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