Ville Satopää

1.6k total citations · 1 hit paper
18 papers, 921 citations indexed

About

Ville Satopää is a scholar working on Management Science and Operations Research, General Decision Sciences and Economics and Econometrics. According to data from OpenAlex, Ville Satopää has authored 18 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 10 papers in General Decision Sciences and 8 papers in Economics and Econometrics. Recurrent topics in Ville Satopää's work include Forecasting Techniques and Applications (14 papers), Decision-Making and Behavioral Economics (10 papers) and Financial Markets and Investment Strategies (3 papers). Ville Satopää is often cited by papers focused on Forecasting Techniques and Applications (14 papers), Decision-Making and Behavioral Economics (10 papers) and Financial Markets and Investment Strategies (3 papers). Ville Satopää collaborates with scholars based in United States, France and Singapore. Ville Satopää's co-authors include Jeannie Albrecht, David Irwin, Barath Raghavan, Philip E. Tetlock, Barbara A. Mellers, Lyle Ungar, Dean P. Foster, Jonathan Baron, Shane T. Jensen and Orit Even‐Shoshan and has published in prestigious journals such as Management Science, International Journal of Forecasting and Health Services Research.

In The Last Decade

Ville Satopää

17 papers receiving 903 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior

2011 656 citations Ville Satopää, Jeannie Albrecht et al. profile →

Peers

Ville Satopää

AI

MSOR

MB

CVPR

EE

Joel Weijia Lai Singapore

Stephen B. Vardeman United States

Alan J. Miller United States

Marco Zaffalon Switzerland

Stephen C. Hora United States

S. Chakraborti United States

Ronald H. Randles United States

Madelyn Glymour United States

Tao Wen China

Norbert Henze Germany

Joel Weijia Lai Singapore

Ville Satopää

202 ×0.8

AI

116 ×0.7

MSOR

37 ×0.5

MB

102 ×1.4

CVPR

74 ×1.0

EE

Citations per year, relative to Ville Satopää Ville Satopää (= 1×) peers Joel Weijia Lai

Countries citing papers authored by Ville Satopää

Since Specialization

Citations

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

Fields of papers citing papers by Ville Satopää

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ville Satopää

This figure shows the co-authorship network connecting the top 25 collaborators of Ville Satopää. A scholar is included among the top collaborators of Ville Satopää based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ville Satopää. Ville Satopää is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

1.

Keppo, Jussi & Ville Satopää. (2023). Bayesian herd detection for dynamic data. International Journal of Forecasting. 40(1). 285–301.

2.

Satopää, Ville, et al.. (2023). Boosting the Wisdom of Crowds Within a Single Judgment Problem: Weighted Averaging Based on Peer Predictions. Management Science. 69(9). 5128–5146. 12 indexed citations

3.

Keppo, Jussi, et al.. (2022). Herding in Probabilistic Forecasts. Management Science. 69(5). 2713–2732. 2 indexed citations

4.

Powell, Ben, Ville Satopää, Niall MacKay, & Philip E. Tetlock. (2022). Skew-Adjusted Extremized-Mean: A Simple Method for Identifying and Learning From Contrarian Minorities in Groups of Forecasters. SSRN Electronic Journal. 1 indexed citations

5.

Satopää, Ville. (2021). Improving the Wisdom of Crowds with Analysis of Variance of Predictions of Related Outcomes. SSRN Electronic Journal. 2 indexed citations

6.

Satopää, Ville, et al.. (2021). Loyalty Currency and Mental Accounting: Do Consumers Treat Points Like Money?. SSRN Electronic Journal. 1 indexed citations

7.

Satopää, Ville, et al.. (2021). Bias, Information, Noise: The BIN Model of Forecasting. Management Science. 67(12). 7599–7618. 31 indexed citations

8.

Satopää, Ville. (2021). Improving the wisdom of crowds with analysis of variance of predictions of related outcomes. International Journal of Forecasting. 37(4). 1728–1747. 9 indexed citations

9.

Satopää, Ville, et al.. (2020). Joint Bottom-Up Method for Hierarchical Time-Series: Application to Australian Tourism. SSRN Electronic Journal. 2 indexed citations

10.

Satopää, Ville, et al.. (2020). Bias, Information, Noise: The BIN Model of Forecasting. SSRN Electronic Journal. 8 indexed citations

11.

Satopää, Ville, et al.. (2019). Expert Selection Within a Single Judgment Problem. SSRN Electronic Journal. 3 indexed citations

12.

Pemantle, Robin, et al.. (2016). Bayesian aggregation of two forecasts in the partial information framework. Statistics & Probability Letters. 119. 170–180. 4 indexed citations

13.

Silber, Jeffrey H., Ville Satopää, Nabanita Mukherjee, et al.. (2016). Improving Medicare's Hospital Compare Mortality Model. Health Services Research. 51(S2). 1229–1247. 21 indexed citations

14.

Satopää, Ville, Jonathan Baron, Dean P. Foster, et al.. (2014). Combining multiple probability predictions using a simple logit model. International Journal of Forecasting. 30(2). 344–356. 91 indexed citations

15.

Satopää, Ville, Shane T. Jensen, Barbara A. Mellers, Philip E. Tetlock, & Lyle Ungar. (2014). Probability aggregation in time-series: Dynamic hierarchical modeling of sparse expert beliefs. The Annals of Applied Statistics. 8(2). 27 indexed citations

16.

Ungar, Lyle, et al.. (2012). The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. National Conference on Artificial Intelligence. 45 indexed citations

17.

Ungar, Lyle, et al.. (2012). The Good Judgment Project: A Large Scale Test. 6 indexed citations

18.

Satopää, Ville, Jeannie Albrecht, David Irwin, & Barath Raghavan. (2011). Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior. 166–171. 656 indexed citations breakdown →

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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