Bård Støve
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 4
- Statistical Methods in Clinical Trials 2
- Finance 8
- Financial Risk and Volatility Modeling 7
- Co-authors
- Dag Tjøstheim (10 shared papers)Thomas Røraas (4 shared papers)Sverre Sandberg (5 shared papers)Per Hyltoft Petersen (2 shared papers)Karl Ove Hufthammer (3 shared papers)Enno Mammen (1 shared paper)Konstantinos Fokianos (1 shared paper)Paul Doukhan (1 shared paper)
In The Last Decade
Bård Støve
20 papers receiving 391 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 108
- Finance 89
- Statistics, Probability and Uncertainty 39
- Economics and Econometrics 98
- General Economics, Econometrics and Finance 23
Countries citing papers authored by Bård Støve
This map shows the geographic impact of Bård Støve'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 Bård Støve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bård Støve more than expected).
Fields of papers citing papers by Bård Støve
This network shows the impact of papers produced by Bård Støve. 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 Bård Støve. The network helps show where Bård Støve may publish in the future.
Co-authors
The 25 scholars most cited alongside Bård Støve, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2013 | 47 | |
| 3 | 2009 | 45 | |
| 4 | 2019 | 45 | |
| 5 | 2019 | 35 | |
| 6 | 2021 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2005 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2014 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2012 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2007 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2023 | 4 | |
| 17 | Measuring asymmetries in financial returns : an empirical investigation using local gaussian correlation | 2013 | 3 |
| 18 | 2025 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2010 | 1 |
About Bård Støve
Bård Støve is a scholar working on Statistics and Probability, Finance, Economics and Econometrics, Artificial Intelligence and Management Science and Operations Research, having authored 22 papers that have together received 402 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Complex Systems and Time Series Analysis (6 papers), Statistical Methods and Inference (4 papers), Market Dynamics and Volatility (3 papers), Bayesian Methods and Mixture Models (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Tree-ring climate responses (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics and Probability (108 citations), Finance (89 citations), Statistics, Probability and Uncertainty (39 citations), Economics and Econometrics (98 citations) and General Economics, Econometrics and Finance (23 citations). Bård Støve has collaborated with scholars based in Norway, Germany and Italy. Frequent co-authors include Dag Tjøstheim, Thomas Røraas, Sverre Sandberg, Per Hyltoft Petersen, Karl Ove Hufthammer, Enno Mammen, Konstantinos Fokianos, Paul Doukhan, Bo Henry Lindqvist and Fredrik Charpentier Ljungqvist. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Statistics, Journal of Empirical Finance, Bernoulli and Clinica Chimica Acta.
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.