Matthias Poloczek
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Co-authors
- Peter I. FrazierPaulette ClancyHenry HerbolMichael PearceDavid ErikssonR.D. TurnerJacob R. GardnerRémi Lam
- Topics
- Advanced Multi-Objective Optimization Algorithms (8 papers)Complexity and Algorithms in Graphs (6 papers)Machine Learning and Algorithms (5 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Matthias Poloczek
19 papers receiving 375 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 153
- Materials Chemistry 130
- Artificial Intelligence 117
- Electrical and Electronic Engineering 79
- Management Science and Operations Research 60
Countries citing papers authored by Matthias Poloczek
This map shows the geographic impact of Matthias Poloczek'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 Matthias Poloczek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Poloczek more than expected).
Fields of papers citing papers by Matthias Poloczek
This network shows the impact of papers produced by Matthias Poloczek. 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 Matthias Poloczek. The network helps show where Matthias Poloczek may publish in the future.
Co-authorship network of co-authors of Matthias Poloczek
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Poloczek. A scholar is included among the top collaborators of Matthias Poloczek 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 Matthias Poloczek. Matthias Poloczek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 31 | |
| 3 | 27 | |
| 4 | A Framework for Bayesian Optimization in Embedded Subspaces | 23 |
| 5 | 14 | |
| 6 | 17 | |
| 7 | 64 | |
| 8 | 4 | |
| 9 | Bayesian Optimization of Combinatorial Structures | 2 |
| 10 | 39 | |
| 11 | 91 | |
| 12 | Bayesian Optimization with Gradients | 9 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 15 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 1 |
About Matthias Poloczek
Matthias Poloczek is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 20 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (8 papers), Complexity and Algorithms in Graphs (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Management Science and Operations Research (60 citations) and Artificial Intelligence (117 citations). Matthias Poloczek has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Peter I. Frazier, Paulette Clancy, Henry Herbol, Michael Pearce, David Eriksson, R.D. Turner, Jacob R. Gardner, Rémi Lam, Karen Willcox and Jialei Wang. Their work appears in journals such as ACS Nano, Crystal Growth & Design and SIAM Journal on Computing.
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.