Geurt Jongbloed

2.4k citations
79 papers · 1.4k · h-index 20

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling

Papers in

    • Statistical Methods and Inference 27
    • Advanced Statistical Methods and Models 13
    • Statistical Distribution Estimation and Applications 6
    • Statistical Methods and Bayesian Inference 6
    • Bayesian Methods and Mixture Models 14

Geurt Jongbloed

72 papers receiving 1.3k citations

Peers

Geurt Jongbloed
Comparison fields: 5 of 149
  • Statistics and Probability 477
  • Finance 127
  • Management Information Systems 100
  • Statistics, Probability and Uncertainty 76
  • Management Science and Operations Research 114
Replace M. Bhaskara Rao with:
M. Bhaskara Rao United States
Jianhua Z. Huang United States
Cheolwoo Park South Korea
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N. Balakrishnan Netherlands
Masaaki Sibuya Japan
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Citations per field
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Citations per year

Countries citing papers authored by Geurt Jongbloed

Since Specialization
Citations

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

Fields of papers citing papers by Geurt Jongbloed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001132
2 2016127
3 2001120
4 199881
5 201863
6 200563
7 201256
8 202054
9 200845
10 200144
11 200444
12 199838
13 199534
14 201432
15 201525
16 200925
17 200322
18 200622
19 199820
20 200319

About Geurt Jongbloed

Geurt Jongbloed is a scholar working on Statistics and Probability, Artificial Intelligence, Global and Planetary Change, Finance and Management Science and Operations Research, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (27 papers), Bayesian Methods and Mixture Models (14 papers), Advanced Statistical Methods and Models (13 papers), Climate variability and models (7 papers), Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Bayesian Inference (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Financial Risk and Volatility Modeling (5 papers). The work is most often cited by research in Statistics and Probability (477 citations), Finance (127 citations), Management Information Systems (100 citations), Statistics, Probability and Uncertainty (76 citations) and Management Science and Operations Research (114 citations). Geurt Jongbloed has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Piet Groeneboom, Jon A. Wellner, Ger Koole, Frank van der Meulen, Said el Bouhaddani, Hae‐Won Uh, Jeanine J. Houwing‐Duistermaat, Martin Roth, T. A. Buishand and Aad van der Vaart. Their work appears in journals such as Scandinavian Journal of Statistics, The Annals of Statistics, NeuroImage, Journal of Computational and Graphical Statistics and Materials Science and Technology.

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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