Piet de Jong

3.6k citations
79 papers · 2.3k indexed · h-index 22
Topics
Insurance, Mortality, Demography, Risk Management (21 papers)Insurance and Financial Risk Management (17 papers)Target Tracking and Data Fusion in Sensor Networks (10 papers)

In The Last Decade

Piet de Jong

76 papers receiving 2.1k citations

Peers

Piet de Jong
Comparison fields: 5 of 143
  • Economics and Econometrics 716
  • Management Science and Operations Research 614
  • Finance 499
  • Demography 499
  • Statistics and Probability 489
Replace Elisa Luciano with:
Elisa Luciano Italy
Han Lin Shang Australia
Emiliano A. Valdez United States
Ričardas Zitikis Canada
Mario V. Wüthrich Switzerland
Ingrid Van Keilegom Belgium
James B. McDonald United States
Stuart A. Klugman United States
Πέτρος Δελλαπόρτας Greece
Liang Peng United States
Piet de Jong relative to Elisa Luciano Italy Elisa Luciano's profile →
Citations per field
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Elisa Luciano · 1×
Citations per year

Countries citing papers authored by Piet de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Piet de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piet de Jong. 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 Piet de Jong. The network helps show where Piet de Jong may publish in the future.

Co-authorship network of co-authors of Piet de Jong

This figure shows the co-authorship network connecting the top 25 collaborators of Piet de Jong. A scholar is included among the top collaborators of Piet de Jong 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 Piet de Jong. Piet de Jong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Risk Ratios, Odds Ratios, and the Rare Disease Assumption
2
2 33
3 8
4 22
5
Development of a Standardised Measure of Return-to-Work in Workers' Compensation
1
6 2
7 7
8 30
9 180
10
Privatisation of Sickness Insurance: Evidence from the Netherlands
8
11 24
12 5
13 366
14 23
15 155
16 43
17 9
18 17
19 21
20 14

About Piet de Jong

Piet de Jong is a scholar working on Demography, Management Science and Operations Research and Statistics and Probability, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (21 papers), Insurance and Financial Risk Management (17 papers) and Target Tracking and Data Fusion in Sensor Networks (10 papers). The work is most often cited by research in Statistics and Probability (489 citations), Management Science and Operations Research (614 citations) and Finance (499 citations). Piet de Jong has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Neil Shephard, Gillian Z. Heller, Leonie Tickle, Jeremy Penzer, Heather Booth, Rob J. Hyndman, Murray Mackinnon, Lonnie W. Aarssen, Roy Turkington and Robert A. Rigby. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Journal of Ecology.

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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