Ulla Holst

861 citations
29 papers · 645 · 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

29 papers receiving 603 citations

Peers

Ulla Holst
Comparison fields: 5 of 102
  • Statistics and Probability 250
  • Finance 80
  • Statistics, Probability and Uncertainty 53
  • Management Science and Operations Research 68
  • Environmental Engineering 53
Replace L. Kavalieris with:
L. Kavalieris New Zealand
Joan G. Staniswalis United States
Céline Lévy‐Leduc France
Christian Léger Canada
Christopher C. Heyde United States
Lan Wang United States
M. Bhaskara Rao United States
Howard G. Tucker United States
Y. P. Mack United States
Ulla Holst relative to L. Kavalieris New Zealand L. Kavalieris's profile →
Citations per field
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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 20 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997142
2 199791
3 198989
4 199453
5 200439
6 199630
7 199130
8 199927
9 199220
10 199815
11 200512
12 200812
13 198910
14 200610
15 19877
16
Background and Foreground Modeling Using an Online EM Algorithm
20067
17 20056
18 20076
19 19946
20
Convergence of a recursive stochastic algorithm with m-dependent observations
19805

About Ulla Holst

Ulla Holst is a scholar working on Statistics and Probability, Artificial Intelligence, Environmental Engineering, Molecular Biology and Control and Systems Engineering, having authored 29 papers that have together received 645 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (7 papers), Single-cell and spatial transcriptomics (3 papers), Oceanographic and Atmospheric Processes (3 papers), Combustion and flame dynamics (3 papers), Soil Geostatistics and Mapping (3 papers), Calibration and Measurement Techniques (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (250 citations), Finance (80 citations), Statistics, Probability and Uncertainty (53 citations), Management Science and Operations Research (68 citations) and Environmental Engineering (53 citations). Ulla Holst has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include David Ruppert, M. P. Wand, Ola Hössjer, Georg Lindgren, Jan Holst, Anders Malmberg, Henrik Madsen, H. Edner, Stina Oredsson and P. Ragnarson. Their work appears in journals such as Environmetrics, Technometrics, Stochastic Processes and their Applications, Mathematical Biosciences and IEEE Transactions on Information Theory.

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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