Augustin Žídek

76.2k total citations · 2 hit papers
3 papers, 2.3k citations indexed

About

Augustin Žídek is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Augustin Žídek has authored 3 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in Augustin Žídek's work include Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Augustin Žídek is often cited by papers focused on Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Augustin Žídek collaborates with scholars based in United Kingdom, Israel and United States. Augustin Žídek's co-authors include David Silver, Alex Bridgland, Stig Petersen, Andrew Senior, Chongli Qin, James Kirkpatrick, Hugo Penedones, Demis Hassabis, Tim Green and Alexander Nelson and has published in prestigious journals such as Nature, Proteins Structure Function and Bioinformatics and arXiv (Cornell University).

In The Last Decade

Augustin Žídek

3 papers receiving 2.2k citations

Hit Papers

Improved protein structure prediction using potentials fr... 2019 2026 2021 2023 2020 2019 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Improved protein structure prediction using potentials from deep learning
    2020 2.0k citations Andrew Senior, John Jumper et al. Nature profile →
  2. Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
    2019 208 citations Andrew Senior, John Jumper et al. Proteins Structure Function and Bioinformatics profile →

Peers

Augustin Žídek
Alex Bridgland United Kingdom
Hugo Penedones United Kingdom
Chongli Qin United Kingdom
Alexander Nelson United Kingdom
Jianzhu Ma United States
Salvatore Candido United States
Tim Green United Kingdom
Parantu K. Shah United States
Shanrong Zhao United States
Alex Bridgland United Kingdom
Augustin Žídek
Citations per year, relative to Augustin Žídek Augustin Žídek (= 1×) peers Alex Bridgland

Countries citing papers authored by Augustin Žídek

Since Specialization
Citations

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

Fields of papers citing papers by Augustin Žídek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Augustin Žídek

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

All Works

3 of 3 papers shown
1.
Senior, Andrew, John Jumper, James Kirkpatrick, et al.. (2020). Improved protein structure prediction using potentials from deep learning. Nature. 577(7792). 706–710. 2026 indexed citations breakdown →
2.
Senior, Andrew, John Jumper, James Kirkpatrick, et al.. (2019). Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13). Proteins Structure Function and Bioinformatics. 87(12). 1141–1148. 208 indexed citations breakdown →
3.
Barreto, André, Diana Borsa, John Quan, et al.. (2019). Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. arXiv (Cornell University). 501–510. 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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