Andreas Krause

30.7k total citations · 8 hit papers
270 papers, 15.3k citations indexed

About

Andreas Krause is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Andreas Krause has authored 270 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 53 papers in Management Science and Operations Research and 43 papers in Computational Theory and Mathematics. Recurrent topics in Andreas Krause's work include Machine Learning and Algorithms (48 papers), Advanced Bandit Algorithms Research (39 papers) and Gaussian Processes and Bayesian Inference (35 papers). Andreas Krause is often cited by papers focused on Machine Learning and Algorithms (48 papers), Advanced Bandit Algorithms Research (39 papers) and Gaussian Processes and Bayesian Inference (35 papers). Andreas Krause collaborates with scholars based in Switzerland, United States and Germany. Andreas Krause's co-authors include Carlos Guestrin, Jure Leskovec, Maarten Speekenbrink, Eric Schulz, Jeanne M. VanBriesen, Christos Faloutsos, Manuel Gomez-Rodriguez, Natalie Glance, Ajit Singh and Matthias Seeger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Automatic Control.

In The Last Decade

Andreas Krause

262 papers receiving 14.7k citations

Hit Papers

Cost-effective outbreak detection in networks 2007 2026 2013 2019 2007 2018 2008 2012 2009 500 1000 1.5k

Peers

Andreas Krause
Comparison fields: 5 of 217
  • Artificial Intelligence 4.9k
  • Computer Networks and Communications 2.7k
  • Computer Vision and Pattern Recognition 2.2k
  • Statistical and Nonlinear Physics 2.2k
  • Computational Theory and Mathematics 1.8k
Replace Daphne Koller with:
Daphne Koller United States
Hui Wang China
Johan A. K. Suykens Belgium
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Mark Hall United Kingdom
Raymond T. Ng Canada
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Chris Bishop United Kingdom
Peter Flach United Kingdom
Chih-Chung Chang Taiwan
Daphne Koller United States View profile →
Citations per field, relative to Andreas Krause
Andreas Krause · 1×
Citations per year, relative to Andreas Krause
Andreas Krause · 1×

Countries citing papers authored by Andreas Krause

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Krause

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 12
3 9
4 56
5 6
6 4
7 61
8
Regret Bounds for Gaussian-Process Optimization in Large Domains
1
9 66
10 17
11
Adaptive Sequence Submodularity
2
12 16
13 122
14
Probabilistic Submodular Maximization in Sub-Linear Time.
7
15
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
47
16
Active Learning for Multi-Objective Optimization
81
17
Navigating the protein fitness landscape with Gaussian processes breakdown →
232
18
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
24
19
Submodular Dictionary Selection for Sparse Representation
53
20
Selecting Observations against Adversarial Objectives
25

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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