Andrew Trask

1.9k total citations · 1 hit paper
6 papers, 354 citations indexed

About

Andrew Trask is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Andrew Trask has authored 6 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Andrew Trask's work include Privacy-Preserving Technologies in Data (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper) and Cryptography and Data Security (1 paper). Andrew Trask is often cited by papers focused on Privacy-Preserving Technologies in Data (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper) and Cryptography and Data Security (1 paper). Andrew Trask collaborates with scholars based in United Kingdom, United States and Canada. Andrew Trask's co-authors include Rickmer Braren, Daniel Rueckert, Friederike Jungmann, Jason Mancuso, Alexander Ziller, M. Steinborn, Andreas Saleh, Georgios Kaissis, Théo Ryffel and Marcus R. Makowski and has published in prestigious journals such as Nature Machine Intelligence and arXiv (Cornell University).

In The Last Decade

Andrew Trask

6 papers receiving 343 citations

Hit Papers

End-to-end privacy preserving deep learning on multi-inst... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Trask United Kingdom 5 262 70 65 38 31 6 354
Dmitrii Usynin Germany 6 310 1.2× 90 1.3× 94 1.4× 42 1.1× 40 1.3× 9 412
Alexander Ziller Germany 5 297 1.1× 106 1.5× 101 1.6× 43 1.1× 35 1.1× 8 420
Théo Ryffel France 5 241 0.9× 65 0.9× 64 1.0× 33 0.9× 35 1.1× 7 321
Jason Mancuso Germany 2 190 0.7× 65 0.9× 60 0.9× 28 0.7× 26 0.8× 2 265
Imrana Abdullahi Yari Germany 4 250 1.0× 35 0.5× 42 0.6× 27 0.7× 71 2.3× 7 331
Mrinal Kanti Baowaly Bangladesh 8 164 0.6× 29 0.4× 41 0.6× 47 1.2× 42 1.4× 15 273
Hanjie Chen United States 6 235 0.9× 18 0.3× 39 0.6× 28 0.7× 30 1.0× 10 347
Jörg Schlötterer Germany 7 228 0.9× 16 0.2× 42 0.6× 42 1.1× 35 1.1× 25 339
Oscar Li United States 5 304 1.2× 35 0.5× 34 0.5× 101 2.7× 13 0.4× 14 383
Zaid Alyafeai Saudi Arabia 7 374 1.4× 48 0.7× 15 0.2× 65 1.7× 25 0.8× 13 445

Countries citing papers authored by Andrew Trask

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Trask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Trask

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

All Works

6 of 6 papers shown
1.
Kaissis, Georgios, Alexander Ziller, Jonathan Passerat‐Palmbach, et al.. (2021). End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nature Machine Intelligence. 3(6). 473–484. 255 indexed citations breakdown →
2.
Mireshghallah, Fatemehsadat, et al.. (2020). Neither Private Nor Fair. 15–19. 36 indexed citations
3.
Trask, Andrew. (2019). Neuronale Netze und Deep Learning kapieren. 1 indexed citations
4.
Chen, Yutian, Yannis Assael, Brendan Shillingford, et al.. (2018). Sample-efficient adaptive text-to-speech. arXiv (Cornell University). 16 indexed citations
5.
Trask, Andrew, Felix Hill, Scott Reed, et al.. (2018). Neural Arithmetic Logic Units. arXiv (Cornell University). 31. 8046–8055. 27 indexed citations
6.
Trask, Andrew, et al.. (2015). Modeling Order in Neural Word Embeddings at Scale. arXiv (Cornell University). 2266–2275. 19 indexed citations

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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