Jan Tuinstra

2.7k total citations
70 papers, 1.7k citations indexed

About

Jan Tuinstra is a scholar working on Economics and Econometrics, Finance and Safety Research. According to data from OpenAlex, Jan Tuinstra has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Economics and Econometrics, 14 papers in Finance and 14 papers in Safety Research. Recurrent topics in Jan Tuinstra's work include Complex Systems and Time Series Analysis (37 papers), Economic theories and models (26 papers) and Experimental Behavioral Economics Studies (14 papers). Jan Tuinstra is often cited by papers focused on Complex Systems and Time Series Analysis (37 papers), Economic theories and models (26 papers) and Experimental Behavioral Economics Studies (14 papers). Jan Tuinstra collaborates with scholars based in Netherlands, Australia and Germany. Jan Tuinstra's co-authors include Cars Hommes, Joep Sonnemans, Henk van de Velden, Peter Heemeijer, Mikhail Anufriev, Te Bao, Maarten Pieter Schinkel, Vjollca Sadiraj, F.A.A.M. van Winden and Florian Wagener and has published in prestigious journals such as Review of Financial Studies, Journal of Physics D Applied Physics and The RAND Journal of Economics.

In The Last Decade

Jan Tuinstra

69 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Tuinstra Netherlands 20 1.4k 551 376 343 325 70 1.7k
Sérgio Ribeiro da Costa Werlang Brazil 11 785 0.6× 444 0.8× 307 0.8× 180 0.5× 469 1.4× 26 1.3k
Peter Norman Sørensen Denmark 16 546 0.4× 284 0.5× 127 0.3× 328 1.0× 521 1.6× 33 1.2k
Alisdair McKay United States 14 942 0.7× 244 0.4× 567 1.5× 103 0.3× 132 0.4× 23 1.3k
Javier Perote Spain 21 644 0.5× 495 0.9× 173 0.5× 145 0.4× 146 0.4× 81 1.1k
Emre Ozdenoren United Kingdom 14 519 0.4× 326 0.6× 69 0.2× 232 0.7× 322 1.0× 38 1.0k
Thomas Mariotti France 15 899 0.7× 625 1.1× 57 0.2× 209 0.6× 366 1.1× 42 1.4k
Ady Pauzner Israel 11 897 0.7× 925 1.7× 162 0.4× 158 0.5× 343 1.1× 20 1.5k
Tarscila Duarte dos Santos Brazil 2 831 0.6× 936 1.7× 151 0.4× 74 0.2× 179 0.6× 9 1.3k
Hans Carlsson Sweden 6 625 0.5× 300 0.5× 76 0.2× 260 0.8× 494 1.5× 12 1.1k
James Dow United Kingdom 21 1.2k 0.9× 1.5k 2.8× 223 0.6× 171 0.5× 378 1.2× 50 2.4k

Countries citing papers authored by Jan Tuinstra

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tuinstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Tuinstra

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Tuinstra. A scholar is included among the top collaborators of Jan Tuinstra 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 Jan Tuinstra. Jan Tuinstra 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
1.
Anufriev, Mikhail, et al.. (2024). Time Pressure Reduces Financial Bubbles: Evidence from a Forecasting Experiment. SSRN Electronic Journal. 1 indexed citations
2.
Hanaki, Nobuyuki, et al.. (2023). Forecasting returns instead of prices exacerbates financial bubbles. Experimental Economics. 26(5). 1185–1213. 1 indexed citations
3.
Sonnemans, Joep, et al.. (2022). The effect of futures markets on the stability of commodity prices. Journal of Economic Behavior & Organization. 198. 176–211. 9 indexed citations
4.
Lamantia, Fabio, et al.. (2018). Technology choice in an evolutionary oligopoly game. Decisions in Economics and Finance. 41(2). 335–356. 4 indexed citations
5.
Anufriev, Mikhail, et al.. (2015). Fee structure, return chasing and mutual fund choice: an experiment. RePEc: Research Papers in Economics. 1 indexed citations
6.
Schinkel, Maarten Pieter, et al.. (2014). Discretionary Authority and Prioritizing in Government Agencies. SSRN Electronic Journal. 5 indexed citations
7.
Tuinstra, Jan, Michael Wegener, & Frank Westerhoff. (2014). Positive welfare effects of trade barriers in a dynamic partial equilibrium model. Journal of Economic Dynamics and Control. 48. 246–264. 10 indexed citations
8.
Tuinstra, Jan & Daan in ׳t Veld. (2013). Market-Induced Rationalization and Welfare-Enhancing Cartels. The B E Journal of Economic Analysis & Policy. 14(1). 189–202. 2 indexed citations
9.
Heemeijer, Peter, Cars Hommes, Joep Sonnemans, & Jan Tuinstra. (2012). An Experimental Study on Expectations and Learning in Overlapping Generations Models. Studies in Nonlinear Dynamics and Econometrics. 16(4). 4 indexed citations
10.
Sadiraj, Vjollca, Jan Tuinstra, & Frans van Winden. (2010). Identification of voters with interest groups improves the electoral chances of the challenger. Mathematical Social Sciences. 60(3). 210–216. 4 indexed citations
11.
Sonnemans, Joep & Jan Tuinstra. (2010). Positive expectations feedback experiments and number guessing games as models of financial markets. Journal of Economic Psychology. 31(6). 964–984. 38 indexed citations
12.
Heemeijer, Peter, Cars Hommes, Joep Sonnemans, & Jan Tuinstra. (2009). Price stability and volatility in markets with positive and negative expectations feedback: An experimental investigation. Journal of Economic Dynamics and Control. 33(5). 1052–1072. 186 indexed citations
13.
Schinkel, Maarten Pieter, et al.. (2008). . RePEc: Research Papers in Economics. 22 indexed citations
14.
Hommes, Cars, Joep Sonnemans, Jan Tuinstra, & Henk van de Velden. (2007). LEARNING IN COBWEB EXPERIMENTS. Macroeconomic Dynamics. 11(S1). 8–33. 65 indexed citations
15.
Sadiraj, Vjollca, Jan Tuinstra, & F.A.A.M. van Winden. (2006). On the Size of the Winning Set in the Presence of Interest Groups. SSRN Electronic Journal. 12 indexed citations
16.
Sadiraj, Vjollca, Jan Tuinstra, & F.A.A.M. van Winden. (2004). A Computational Electoral Competition Model with Social Clustering and Endogenous Interest Groups as Information Brokers. SSRN Electronic Journal. 2 indexed citations
17.
Hommes, Cars, Joep Sonnemans, Jan Tuinstra, & Henk van de Velden. (2004). Coordination of Expectations in Asset Pricing Experiments. Review of Financial Studies. 18(3). 955–980. 296 indexed citations
18.
Hommes, Cars, Joep Sonnemans, Jan Tuinstra, & Henk van de Velden. (2004). A strategy experiment in dynamic asset pricing. Journal of Economic Dynamics and Control. 29(4). 823–843. 25 indexed citations
19.
Hommes, Cars, Joep Sonnemans, Jan Tuinstra, & Henk van de Velden. (2003). Coordination of Expectations in Asset Pricing Experiments. SSRN Electronic Journal. 67 indexed citations
20.
Tuinstra, Jan. (1997). A price adjustment process with symmetry. Economics Letters. 57(3). 297–303. 4 indexed citations

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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