This map shows the geographic impact of S.J. Ovaska'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 S.J. Ovaska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. Ovaska more than expected).
This network shows the impact of papers produced by S.J. Ovaska. 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 S.J. Ovaska. The network helps show where S.J. Ovaska may publish in the future.
Co-authorship network of co-authors of S.J. Ovaska
This figure shows the co-authorship network connecting the top 25 collaborators of S.J. Ovaska.
A scholar is included among the top collaborators of S.J. Ovaska 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 S.J. Ovaska. S.J. Ovaska is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gao, Xiang, et al.. (2012). A hybrid optimization method for wind generator design. International journal of innovative computing, information & control. 8(6). 4347–4373.28 indexed citations
Gao, Xiao‐Zhi, et al.. (2010). A modified harmony search method in constrained optimization. International journal of innovative computing, information & control. 6(9). 4235–4247.11 indexed citations
5.
Gao, Xiao-Zhi, Xiaolei Wang, & S.J. Ovaska. (2009). UNI-MODAL AND MULTI-MODAL OPTIMIZATION USING MODIFIED HARMONY SEARCH METHODS. International journal of innovative computing, information & control. 5(10). 2985–2996.37 indexed citations
6.
Gao, Xiao-Zhi, S.J. Ovaska, & Xiaolei Wang. (2008). A Ga-based negative selection algorithm. International journal of innovative computing, information & control. 4(4). 971–979.9 indexed citations
7.
Shilane, David, et al.. (2006). A general framework for statistical performance comparison of evolutionary computation algorithms. Collection of Biostatistics Research Archive. 7–12.3 indexed citations
Ovaska, S.J.. (2004). Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing (IEEE Press Series on Computational Intelligence).4 indexed citations
10.
Ovaska, S.J., et al.. (2001). Scanning the issue: Special issue on industrial innovation using soft computing. Proceedings of the IEEE. 89(9). 1239–1241.1 indexed citations
11.
Xiao, Gao & S.J. Ovaska. (2001). Intelligent motor fault diagnosis using a modified ANFIS. 8(1). 42–51.4 indexed citations
Tanskanen, Jarno M. A., et al.. (2000). Adaptive general parameter extension to FIR predictors. European Signal Processing Conference. 1–4.3 indexed citations
14.
Dote, Y., et al.. (2000). Nonlinear Modeling and Fault Detection Using Fuzzy-Neural Network.. Information Systems. 96–100.2 indexed citations
15.
Dote, Y., et al.. (2000). Intelligent control using soft computing. 23–29.2 indexed citations
16.
Laakso, T.I., et al.. (1998). Delta operator realizations of direct-form IIR filters. IEEE Transactions on Circuits and Systems. 45(1). 41–52.55 indexed citations
17.
Ovaska, S.J., et al.. (1995). Adaptive polynomial predictor for velocity filtering. 2(1). 1650–1652.1 indexed citations
18.
Tanskanen, Jarno M. A., Ailong Huang, T.I. Laakso, & S.J. Ovaska. (1995). Polynomial Prediction of Noise Shaping Rayleigh Fading.
19.
Ovaska, S.J., et al.. (1994). Adaptive polynomial predictor for filtering. 2(1). 94–106.1 indexed citations
20.
Ovaska, S.J.. (1992). Toward real-time simulation of squirrel cage AC motors. 9(3). 147–157.2 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.