I.G. Sprinkhuizen-Kuyper

1.0k total citations
45 papers, 502 citations indexed

About

I.G. Sprinkhuizen-Kuyper is a scholar working on Artificial Intelligence, Sociology and Political Science and Applied Mathematics. According to data from OpenAlex, I.G. Sprinkhuizen-Kuyper has authored 45 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Applied Mathematics. Recurrent topics in I.G. Sprinkhuizen-Kuyper's work include Neural Networks and Applications (6 papers), Artificial Intelligence in Games (5 papers) and Reinforcement Learning in Robotics (4 papers). I.G. Sprinkhuizen-Kuyper is often cited by papers focused on Neural Networks and Applications (6 papers), Artificial Intelligence in Games (5 papers) and Reinforcement Learning in Robotics (4 papers). I.G. Sprinkhuizen-Kuyper collaborates with scholars based in Netherlands, Switzerland and Italy. I.G. Sprinkhuizen-Kuyper's co-authors include Eric Postma, Pieter Spronck, Marc Ponsen, Tom H. Koornwinder, A. E. Eiben, Georgi Nalbantov, Stijn Vanderlooy, Daniel R. Tauritz, Joost N. Kok and H.J. van den Herik and has published in prestigious journals such as Information Sciences, Neural Computation and Neural Networks.

In The Last Decade

I.G. Sprinkhuizen-Kuyper

37 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I.G. Sprinkhuizen-Kuyper Netherlands	13	332	81	66	64	44	45	502
Alexander Panchenko Russia	15	538 1.6×	39 0.5×	10 0.2×	56 0.9×	91 2.1×	110	851
Harriet Fell United States	13	149 0.4×	22 0.3×	94 1.4×	39 0.6×	53 1.2×	45	518
Tinne Hoff Kjeldsen Denmark	12	44 0.1×	22 0.3×	39 0.6×	17 0.3×	55 1.3×	41	478
Mark C. Wilson New Zealand	14	95 0.3×	19 0.2×	18 0.3×	23 0.4×	111 2.5×	53	641
Abir De India	12	175 0.5×	28 0.3×	19 0.3×	46 0.7×	10 0.2×	38	437
Pavel Smrž Czechia	16	706 2.1×	41 0.5×	72 1.1×	195 3.0×	35 0.8×	109	1.3k
George K. Francis United States	12	43 0.1×	15 0.2×	29 0.4×	98 1.5×	49 1.1×	36	558
Gary Davis Australia	14	56 0.2×	7 0.1×	89 1.3×	54 0.8×	147 3.3×	40	1.3k
Thomas Ottmann Germany	15	118 0.4×	93 1.1×	52 0.8×	190 3.0×	92 2.1×	71	630
Paul Lu Canada	13	448 1.3×	101 1.2×	62 0.9×	64 1.0×	45 1.0×	46	738

Countries citing papers authored by I.G. Sprinkhuizen-Kuyper

Since Specialization

Citations

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

Fields of papers citing papers by I.G. Sprinkhuizen-Kuyper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.G. Sprinkhuizen-Kuyper. 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 I.G. Sprinkhuizen-Kuyper. The network helps show where I.G. Sprinkhuizen-Kuyper may publish in the future.

Co-authorship network of co-authors of I.G. Sprinkhuizen-Kuyper

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

All Works

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20 of 20 papers shown

Marchiori, Elena, et al.. (2013). Image Similarity Search using a Negative Selection Algorithm. Radboud Repository (Radboud University). 838–845. 3 indexed citations

Haselager, Pim, et al.. (2011). The right delay: detecting specific spike patterns with STDP and axonal conduction delays. Radboud Repository (Radboud University). 57. 90–99. 1 indexed citations

Lagarde, Stanislas, I.G. Sprinkhuizen-Kuyper, Guido de Croon, & Pim Haselager. (2010). An intermediate form of behavioral control in 'reactive' robots. Radboud Repository (Radboud University). 1–8. 2 indexed citations

Cuijpers, Raymond H., et al.. (2009). Generalisation of action sequences in RNNPB networks with mirror properties. Radboud Repository (Radboud University). 251–256. 4 indexed citations

Vanderlooy, Stijn & I.G. Sprinkhuizen-Kuyper. (2007). An Overview of Algorithmic Randomness and its Application to Reliable Instance Classification. Radboud Repository (Radboud University). 4 indexed citations

Smirnov, Evgueni, Stijn Vanderlooy, & I.G. Sprinkhuizen-Kuyper. (2006). Meta-Typicalness Approach to Reliable Classification. Radboud Repository (Radboud University). 811–812. 3 indexed citations

Smirnov, Evgueni, I.G. Sprinkhuizen-Kuyper, Georgi Nalbantov, & Stijn Vanderlooy. (2006). Version Space Support Vector Machines. Radboud Repository (Radboud University). 809–810. 3 indexed citations

Vanderlooy, Stijn, et al.. (2006). An Analysis of Reliable Classifiers through ROC Isometrics. Radboud Repository (Radboud University). 55–62. 5 indexed citations

Sprinkhuizen-Kuyper, I.G., et al.. (2005). Reliability yields Information Gain. Data Archiving and Networked Services (DANS). 1 indexed citations

10.

Sprinkhuizen-Kuyper, I.G., et al.. (2005). Unanimous Voting using Support Vector Machines. Data Archiving and Networked Services (DANS). 7 indexed citations

11.

Spronck, Pieter, I.G. Sprinkhuizen-Kuyper, & Eric Postma. (2004). On-line Adaptation of Game Opponent AI with Dynamic Scripting.. 3(1). 45–53. 31 indexed citations

12.

Smirnov, Evgueni, H.J. van den Herik, & I.G. Sprinkhuizen-Kuyper. (2004). A Unifying Version-Space Representation. Annals of Mathematics and Artificial Intelligence. 41(1). 47–76.

13.

Spronck, Pieter, I.G. Sprinkhuizen-Kuyper, & Eric Postma. (2003). Improved opponent intelligence trough offline learning. 2(1). 20–27. 10 indexed citations

14.

Spronck, Pieter, I.G. Sprinkhuizen-Kuyper, & Eric Postma. (2003). On-Line Adaptation of Game Opponent AI in Simulation and in Practice.. 114(6). 93–94. 29 indexed citations

15.

Spronck, Pieter, I.G. Sprinkhuizen-Kuyper, & Eric Postma. (2001). Evolutionary Learning of a Neural Robot Controller. 1 indexed citations

16.

Tauritz, Daniel R., I.G. Sprinkhuizen-Kuyper, & Joost N. Kok. (1997). Evolutionary Computation Applied to Adaptive Information Filtering. 17–26. 1 indexed citations

17.

Sprinkhuizen-Kuyper, I.G., et al.. (1996). Probabilities and Entropy of Some Small Neural Networks for Boolean Functions. 2 indexed citations

18.

Sol, H., et al.. (1991). Informatiesystemen in beweging. 2 indexed citations

19.

Sprinkhuizen-Kuyper, I.G.. (1979). A fractional integral operator corresponding to negative powers of a certain second-order differential operator. Journal of Mathematical Analysis and Applications. 72(2). 674–702. 14 indexed citations

20.

Sprinkhuizen-Kuyper, I.G.. (1976). A jacobi series expansion with nonnegative coefficients related to a special class of orthogonal polynomials in two variables. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–12. 1 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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