Thorsten Schnier

580 total citations
13 papers, 329 citations indexed

About

Thorsten Schnier is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Thorsten Schnier has authored 13 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Thorsten Schnier's work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Thorsten Schnier is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Thorsten Schnier collaborates with scholars based in United Kingdom, China and Australia. Thorsten Schnier's co-authors include Xiaoli Li, Xin Yao, Keith Challis, Lei Jia, Pan Zhang, Ke Tang, Bernhard Sendhoff, Zhenyu Yang, Jihong Wang and He Ma and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology and Knowledge-Based Systems.

In The Last Decade

Thorsten Schnier

12 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Schnier United Kingdom 8 113 103 98 39 35 13 329
Georgios C. Chasparis Austria 12 108 1.0× 67 0.7× 62 0.6× 109 2.8× 12 0.3× 44 404
Henry Newman Austria 4 168 1.5× 43 0.4× 93 0.9× 105 2.7× 21 0.6× 7 425
Viera Rozinajová Slovakia 8 152 1.3× 98 1.0× 41 0.4× 27 0.7× 4 0.1× 18 264
Dorin Moldovan Romania 10 59 0.5× 123 1.2× 21 0.2× 42 1.1× 14 0.4× 28 308
Miguel A. Prada Spain 14 116 1.0× 95 0.9× 56 0.6× 121 3.1× 7 0.2× 54 507
Emilio Corchado Spain 8 42 0.4× 163 1.6× 19 0.2× 33 0.8× 38 1.1× 23 332
Árpád Gellért Romania 11 159 1.4× 82 0.8× 53 0.5× 39 1.0× 5 0.1× 52 427
Wilfried Jakob Germany 9 114 1.0× 106 1.0× 15 0.2× 117 3.0× 67 1.9× 34 367
Lizhen Wu China 8 187 1.7× 44 0.4× 35 0.4× 78 2.0× 8 0.2× 37 327
P. Postolache Romania 9 504 4.5× 115 1.1× 70 0.7× 123 3.2× 18 0.5× 19 603

Countries citing papers authored by Thorsten Schnier

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Schnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Schnier

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

All Works

13 of 13 papers shown
1.
Ma, He, et al.. (2014). Model-Based Multiobjective Evolutionary Algorithm Optimization for HCCI Engines. IEEE Transactions on Vehicular Technology. 64(9). 4326–4331. 24 indexed citations
2.
Challis, Keith, et al.. (2012). A software architecture for Twitter collection, search and geolocation services. Knowledge-Based Systems. 37. 105–120. 54 indexed citations
3.
Yang, Zhenyu, et al.. (2011). An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 957–969. 23 indexed citations
4.
Challis, Keith, et al.. (2011). A software system for data mining with twitter. University of Birmingham Research Portal (University of Birmingham). 139–144. 8 indexed citations
5.
Li, Xiaoli, et al.. (2009). Classification of Energy Consumption in Buildings With Outlier Detection. IEEE Transactions on Industrial Electronics. 57(11). 3639–3644. 155 indexed citations
6.
Williams, Peter J. & Thorsten Schnier. (2008). The Harvard Family of Bibliography Styles. 1 indexed citations
7.
Zhang, Pan, Xin Yao, Lei Jia, Bernhard Sendhoff, & Thorsten Schnier. (2007). Target shape design optimization by evolving splines. University of Birmingham Research Portal (University of Birmingham). 2009–2016. 19 indexed citations
8.
Schnier, Thorsten & John S. Gero. (2007). Learning Representations for Evolutionary Computation.
9.
Schnier, Thorsten, et al.. (2004). Digital filter design using multiple pareto fronts. Soft Computing. 8(5). 332–343. 19 indexed citations
10.
Schnier, Thorsten & Xin Yao. (2002). Using multiple representations in evolutionary algorithms. 1. 479–486. 17 indexed citations
11.
Schnier, Thorsten, et al.. (2002). Digital filter design using multiple Pareto fronts. 136–145. 6 indexed citations
12.
Gero, John S., Vladimir Kazakov, & Thorsten Schnier. (1996). Evolving Design Genes as well as Design Solutions. Computing in Civil Engineering. 84–90. 1 indexed citations
13.
Schnier, Thorsten & John S. Gero. (1996). Learning representations for creative design using evolution. Artificial intelligence for engineering design analysis and manufacturing. 10(2). 175–177. 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.

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