Stefan Schliebs

1.2k total citations
14 papers, 621 citations indexed

About

Stefan Schliebs is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Stefan Schliebs has authored 14 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Stefan Schliebs's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (9 papers) and Neural Networks and Reservoir Computing (7 papers). Stefan Schliebs is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (9 papers) and Neural Networks and Reservoir Computing (7 papers). Stefan Schliebs collaborates with scholars based in New Zealand, United Kingdom and Switzerland. Stefan Schliebs's co-authors include Nikola Kasabov, Ammar W. Mohemmed, Satoshi Matsuda, Michaël Defoin-Platel, Sue Worner, S.P. Worner, Michael Watts, Silas G. Villas‐Bôas, Patrick Gladding and Mark T. Swihart and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing and Neural Networks.

In The Last Decade

Stefan Schliebs

14 papers receiving 605 citations

Peers

Stefan Schliebs

EEE

CMN

CTM

Bill Kay United States

De Ma China

Saeed Haghiri Iran

Nitin Rathi United States

Filip Ponulak Poland

Aaron R. Voelker Canada

Vincent Canals Spain

Andrew Rowley United Kingdom

Cameron Patterson United States

Josep L. Rosselló Spain

Bill Kay United States

Stefan Schliebs

643 ×1.6

EEE

333 ×1.0

162 ×0.5

166 ×1.6

CMN

43 ×1.2

CTM

Citations per year, relative to Stefan Schliebs Stefan Schliebs (= 1×) peers Bill Kay

Countries citing papers authored by Stefan Schliebs

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Schliebs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Schliebs

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

All Works

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14 of 14 papers shown

Parry, Dave, et al.. (2014). Exploring the applicability of reservoir methods for classifying punctual sports activities using on-body sensors. 67–73. 4 indexed citations

Erogbogbo, Folarin, Jasmine May, Mark T. Swihart, et al.. (2013). Bioengineering Silicon Quantum Dot Theranostics using a Network Analysis of Metabolomic and Proteomic Data in Cardiac Ischemia. Theranostics. 3(9). 719–728. 13 indexed citations

Schliebs, Stefan & Nikola Kasabov. (2013). Evolving spiking neural network—a survey. Evolving Systems. 4(2). 87–98. 98 indexed citations

Mohemmed, Ammar W., Stefan Schliebs, Satoshi Matsuda, & Nikola Kasabov. (2012). Training spiking neural networks to associate spatio-temporal input–output spike patterns. Neurocomputing. 107. 3–10. 65 indexed citations

Mohemmed, Ammar W., Stefan Schliebs, Satoshi Matsuda, & Nikola Kasabov. (2012). SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS. International Journal of Neural Systems. 22(4). 1250012–1250012. 187 indexed citations

Schliebs, Stefan, Ammar W. Mohemmed, & Nikola Kasabov. (2011). Are probabilistic spiking neural networks suitable for reservoir computing?. 3156–3163. 9 indexed citations

Schliebs, Stefan, et al.. (2011). Determining factors that influence the dispersal of a pelagic species: A comparison between artificial neural networks and evolutionary algorithms. Ecological Modelling. 222(10). 1657–1665. 6 indexed citations

Mohemmed, Ammar W., Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, & Nikola Kasabov. (2011). Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. 2969–2974. 5 indexed citations

Schliebs, Stefan, Michaël Defoin-Platel, & Nikola Kasabov. (2010). Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. 22. 1–8. 4 indexed citations

10.

Schliebs, Stefan, Nikola Kasabov, & Michaël Defoin-Platel. (2010). ON THE PROBABILISTIC OPTIMIZATION OF SPIKING NEURAL NETWORKS. International Journal of Neural Systems. 20(6). 481–500. 31 indexed citations

11.

Schliebs, Stefan, Michaël Defoin-Platel, Sue Worner, & Nikola Kasabov. (2009). Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. Neural Networks. 22(5-6). 623–632. 42 indexed citations

12.

Schliebs, Stefan, et al.. (2009). Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. Tuwhera (Auckland University of Technology). 30. 2833–2840. 6 indexed citations

13.

Schliebs, Stefan, et al.. (2008). Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. IEEE Transactions on Evolutionary Computation. 13(6). 1218–1232. 112 indexed citations

14.

Schliebs, Stefan, et al.. (2007). A versatile quantum-inspired evolutionary algorithm. AUT Scholarly Commons. 423–430. 39 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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