Johan F. Kaashoek

13 papers and 200 indexed citations i.

Johan F. Kaashoek has authored 13 papers that have received a total of 200 indexed citations. This includes 3 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 3 papers in Economics and Econometrics. The topics of these papers are Neural Networks and Applications (3 papers), Economic theories and models (3 papers) and Statistical Methods and Inference (2 papers). Johan F. Kaashoek is often cited by papers focused on Neural Networks and Applications (3 papers), Economic theories and models (3 papers) and Statistical Methods and Inference (2 papers) and collaborates with scholars based in The Netherlands and Finland. Johan F. Kaashoek's co-authors include Herman K. van Dijk, Jean H. P. Paelinck, Lennart F. Hoogerheide, R. J. Stroeker and A.C.F. Vorst and has published in prestigious journals such as Journal of Econometrics, Chaos Solitons & Fractals and Environment and Planning A Economy and Space.