Dominik Grewe

17.7k citations
8 papers · 9.0k indexed · 1 hit paper · h-index 7
Topics
Parallel Computing and Optimization Techniques (7 papers)Advanced Data Storage Technologies (4 papers)Distributed and Parallel Computing Systems (3 papers)

In The Last Decade

Dominik Grewe

8 papers receiving 8.6k citations

Hit Papers

Mastering the game of Go with deep neural networks and tr...201620262019202220162.5k5.0k7.5k

Peers

Dominik Grewe
Comparison fields: 5 of 200
  • Artificial Intelligence 4.7k
  • Electrical and Electronic Engineering 1.5k
  • Computer Vision and Pattern Recognition 1.4k
  • Control and Systems Engineering 1.0k
  • Computer Networks and Communications 878
Replace Chris J. Maddison with:
Chris J. Maddison United Kingdom
Sander Dieleman Belgium
Nal Kalchbrenner United Kingdom
George van den Driessche United Kingdom
Aja Huang United Kingdom
Thomas Hubert United Kingdom
Marc Lanctot United Kingdom
Matthew Lai United Kingdom
Julian Schrittwieser United Kingdom
James Bergstra Canada
Dominik Grewe relative to Chris J. Maddison United Kingdom Chris J. Maddison's profile →
Citations per field
00.5×1.5×
Chris J. Maddison · 1×
Citations per year

Countries citing papers authored by Dominik Grewe

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Grewe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Grewe

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2
Mastering the game of Go with deep neural networks and tree searchbreakdown →
8793
3 23
4 33
5 19
6 93
7 39
8 35

About Dominik Grewe

Dominik Grewe is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 9.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Artificial Intelligence (4.7k citations), Health Informatics (108 citations) and Computer Vision and Pattern Recognition (1.4k citations). Dominik Grewe has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include George van den Driessche, David Silver, Julian Schrittwieser, Aja Huang, Chris J. Maddison, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Sander Dieleman and Demis Hassabis. Their work appears in journals such as Nature and ACM Transactions on Architecture and Code Optimization.

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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