Thomas Weise
Impact in
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Software Engineering Methodologies
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 46
- Evolutionary Algorithms and Applications 32
- Semantic Web and Ontologies 9
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- Advanced Multi-Objective Optimization Algorithms 26
- Co-authors
- Raymond Chiong (15 shared papers)Ke Tang (12 shared papers)Bin Li (6 shared papers)Yu Wang (3 shared papers)Kurt Geihs (16 shared papers)Bo Yuan (1 shared paper)Jianyu Wang (1 shared paper)Zhong‐Yuan Lu (1 shared paper)
In The Last Decade
Thomas Weise
102 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 1.0k
- Computational Theory and Mathematics 454
- Industrial and Manufacturing Engineering 180
- Computer Networks and Communications 286
- Information Systems 260
Countries citing papers authored by Thomas Weise
This map shows the geographic impact of Thomas Weise'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 Thomas Weise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Weise more than expected).
Fields of papers citing papers by Thomas Weise
This network shows the impact of papers produced by Thomas Weise. 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 Thomas Weise. The network helps show where Thomas Weise may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Weise, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 270 | |
| 2 | 2010 | 134 | |
| 3 | 2011 | 98 | |
| 4 | 2019 | 94 | |
| 5 | 2012 | 94 | |
| 6 | 1998 | 91 | |
| 7 | 2014 | 52 | |
| 8 | 2011 | 47 | |
| 9 | 2009 | 40 | |
| 10 | 2008 | 38 | |
| 11 | 2015 | 38 | |
| 12 | 2008 | 36 | |
| 13 | 2013 | 34 | |
| 14 | 2012 | 32 | |
| 15 | 2014 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2012 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2011 | 27 | |
| 20 | 2013 | 24 |
About Thomas Weise
Thomas Weise is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Information Systems, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (46 papers), Evolutionary Algorithms and Applications (32 papers), Advanced Multi-Objective Optimization Algorithms (26 papers), Vehicle Routing Optimization Methods (14 papers), Service-Oriented Architecture and Web Services (12 papers), Semantic Web and Ontologies (9 papers), Advanced Neural Network Applications (8 papers) and Optimization and Packing Problems (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computational Theory and Mathematics (454 citations), Industrial and Manufacturing Engineering (180 citations), Computer Networks and Communications (286 citations) and Information Systems (260 citations). Thomas Weise has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Raymond Chiong, Ke Tang, Bin Li, Yu Wang, Kurt Geihs, Bo Yuan, Jianyu Wang, Zhong‐Yuan Lu, Yu Wang and Qiongjie Tian. Their work appears in journals such as Applied Soft Computing, IEEE Transactions on Evolutionary Computation, Information Sciences, Neurocomputing and IEEE Access.
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.