Hans Roubos

1.0k total citations
9 papers, 629 citations indexed

About

Hans Roubos is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Hans Roubos has authored 9 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Statistics and Probability. Recurrent topics in Hans Roubos's work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (6 papers) and Fuzzy Systems and Optimization (3 papers). Hans Roubos is often cited by papers focused on Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (6 papers) and Fuzzy Systems and Optimization (3 papers). Hans Roubos collaborates with scholars based in Netherlands, Spain and Hungary. Hans Roubos's co-authors include M. Setnes, Robert Babuška, Fernando Jiménez, Antonio Skármeta, János Abonyi, Ferenc Szeifert, Gracia Sánchez, Joseph J. Heijnen and Preben Krabben and has published in prestigious journals such as Industrial & Engineering Chemistry Research and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Hans Roubos

8 papers receiving 584 citations

Peers

Hans Roubos

AI

CSE

CTM

SP

IS

Ming-Shong Lan United States

L.T. Kóczy Hungary

Maowen Nie Singapore

Daoyuan Zhai United States

Cristina Olaru Belgium

Daniel G. Schwartz United States

Debrup Chakraborty India

BW Pilsworth United Kingdom

Puyin Liu China

Shuxia Lu China

Ming-Shong Lan United States

Hans Roubos

402 ×0.8

AI

98 ×0.8

CSE

74 ×0.7

CTM

67 ×0.8

SP

34 ×0.6

IS

Citations per year, relative to Hans Roubos Hans Roubos (= 1×) peers Ming-Shong Lan

Countries citing papers authored by Hans Roubos

Since Specialization

Citations

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

Fields of papers citing papers by Hans Roubos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Roubos

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

All Works

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9 of 9 papers shown

1.

Jiménez, Fernando, Gracia Sánchez, Antonio Skármeta, Hans Roubos, & Robert Babuška. (2003). Fuzzy modeling with multi-objective neuro-evolutionary algorithms. vol.3. 6–6. 5 indexed citations

2.

Setnes, M. & Hans Roubos. (2003). Transparent fuzzy modeling using fuzzy clustering and GAs. 198–202. 17 indexed citations

3.

Abonyi, János, et al.. (2003). Incorporating Prior Knowledge in a Cubic Spline ApproximationApplication to the Identification of Reaction Kinetic Models. Industrial & Engineering Chemistry Research. 42(17). 4043–4049. 16 indexed citations

4.

Roubos, Hans & M. Setnes. (2002). Compact fuzzy models through complexity reduction and evolutionary optimization. 2. 762–767. 38 indexed citations

5.

Jiménez, Fernando, Antonio Skármeta, Hans Roubos, & Robert Babuška. (2002). A multi-objective evolutionary algorithm for fuzzy modeling. 2. 1222–1228. 19 indexed citations

6.

Roubos, Hans & M. Setnes. (2001). Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Transactions on Fuzzy Systems. 9(4). 516–524. 194 indexed citations

7.

Abonyi, János & Hans Roubos. (2000). Structure Identification of Fuzzy Classifiers. 1 indexed citations

8.

Roubos, Hans, Robert Babuška, Preben Krabben, & Joseph J. Heijnen. (2000). Hybrid modeling of fed-batch bioprocesses: Combination of physical equations with metabolic networks and black-box kinetics. 41(3). 17–23. 2 indexed citations

9.

Setnes, M. & Hans Roubos. (2000). GA-fuzzy modeling and classification: complexity and performance. IEEE Transactions on Fuzzy Systems. 8(5). 509–522. 337 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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