Cees Diks

6.4k citations
81 papers · 4.7k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Cees Diks

76 papers receiving 4.5k citations

Hit Papers

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling 2009 · 888 citations
8882006202620122019250500750

Peers

Cees Diks
Comparison fields: 5 of 161
  • General Economics, Econometrics and Finance 637
  • Economics and Econometrics 2.0k
  • Water Science and Technology 979
  • Finance 674
  • Environmental Engineering 890
Replace Tim Bedford with:
Tim Bedford United Kingdom
J. R. M. Hosking United States
Hans R. Künsch Switzerland
Marc G. Genton United States
Dimitris N. Politis United States
Stuart Coles United Kingdom
Mike West United States
Mort Webster United States
Howell Tong United Kingdom
Dag Tjøstheim Norway
Cees Diks relative to Tim Bedford United Kingdom Tim Bedford's profile →
Citations per field
00.5×6.2×
Tim Bedford · 1×
Citations per year

Countries citing papers authored by Cees Diks

Since Specialization
Citations

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

Fields of papers citing papers by Cees Diks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
20219
2 20212
3 201714
4 201712
5 201410
6 201415
7 201216
8 20115
9 20087
10 200832
11 20066
12
A new statistic and practical guidelines for nonparametric Granger causality testing
Hit paper breakdown →
2006729
13 20054
14
Modified Hiemstra-Jones Test for Granger Non-causality
20042
15 20045
16 200310
17 20006
18 20003
19 199725
20 19957

About Cees Diks

Cees Diks is a scholar working on Finance, General Economics, Econometrics and Finance, Economics and Econometrics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 81 papers that have together received 4.7k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (36 papers), Market Dynamics and Volatility (20 papers), Financial Risk and Volatility Modeling (19 papers), Monetary Policy and Economic Impact (16 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Chaos control and synchronization (9 papers), Financial Markets and Investment Strategies (8 papers) and Hydrology and Drought Analysis (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (637 citations), Economics and Econometrics (2.0k citations), Water Science and Technology (979 citations), Finance (674 citations) and Environmental Engineering (890 citations). Cees Diks has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Valentyn Panchenko, Jasper A. Vrugt, Cajo J. F. ter Braak, Stelios Bekiros, B.A. Robinson, James M. Hyman, David Higdon, J.M. Verstraten, Willem Bouten and Hoshin V. Gupta. Their work appears in journals such as Journal of Economic Dynamics and Control, Studies in Nonlinear Dynamics and Econometrics, Physics Letters A, Empirical Economics and Physica A Statistical Mechanics and its Applications.

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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