Stefan Falkner

1.6k total citations
10 papers, 324 citations indexed

About

Stefan Falkner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stefan Falkner has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stefan Falkner's work include Quantum Computing Algorithms and Architecture (5 papers), Machine Learning and Algorithms (3 papers) and Quantum-Dot Cellular Automata (3 papers). Stefan Falkner is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Machine Learning and Algorithms (3 papers) and Quantum-Dot Cellular Automata (3 papers). Stefan Falkner collaborates with scholars based in Germany, United States and Brazil. Stefan Falkner's co-authors include Frank Hutter, Aaron Klein, Jost Tobias Springenberg, Stefan Boettcher, Renato Portugal, Simon Bartels, Philipp Hennig and Margret Keuper and has published in prestigious journals such as Physical Review A, Electronic Journal of Statistics and Journal of Physics Conference Series.

In The Last Decade

Stefan Falkner

10 papers receiving 309 citations

Peers

Stefan Falkner
Comparison fields: 5 of 64
  • Artificial Intelligence 242
  • Computational Theory and Mathematics 79
  • Computer Vision and Pattern Recognition 62
  • Atomic and Molecular Physics, and Optics 57
  • Electrical and Electronic Engineering 31
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Citations per field, relative to Stefan Falkner
Stefan Falkner · 1×
Citations per year, relative to Stefan Falkner
Stefan Falkner · 1×

Countries citing papers authored by Stefan Falkner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Falkner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Falkner

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

All Works

10 of 10 papers shown
# Work Indexed citations
1
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
1
2
Practical Hyperparameter Optimization for Deep Learning
12
3
Learning Curve Prediction with Bayesian Neural Networks
67
4 43
5
Bayesian optimization with robust Bayesian neural networks
119
6 19
7 14
8 9
9 32
10 8

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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