Jacob Menick

3.1k total citations
6 papers, 173 citations indexed

About

Jacob Menick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jacob Menick has authored 6 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jacob Menick's work include Topic Modeling (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Neural Network Applications (2 papers). Jacob Menick is often cited by papers focused on Topic Modeling (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Neural Network Applications (2 papers). Jacob Menick collaborates with scholars based in United Kingdom, United States and France. Jacob Menick's co-authors include Rémi Munos, Mohammad Gheshlaghi Azar, Alexander Graves, Shane Legg, Bilal Piot, Demis Hassabis, Charles Blundell, Ian Osband, Meire Fortunato and Olivier Pietquin and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Jacob Menick

6 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Menick United Kingdom 4 120 61 33 20 14 6 173
Steven Kapturowski United States 3 144 1.2× 34 0.6× 22 0.7× 14 0.7× 15 1.1× 5 194
Chenjia Bai China 6 94 0.8× 27 0.4× 25 0.8× 29 1.4× 16 1.1× 26 173
Oron Anschel United States 4 113 0.9× 100 1.6× 13 0.4× 9 0.5× 8 0.6× 5 207
Chen Tessler Israel 5 104 0.9× 39 0.6× 12 0.4× 30 1.5× 10 0.7× 10 165
Mohammad Babaeizadeh United States 7 65 0.5× 56 0.9× 14 0.4× 16 0.8× 5 0.4× 10 128
William Uther Australia 6 122 1.0× 29 0.5× 8 0.2× 11 0.6× 9 0.6× 9 183
Bilal Piot France 3 89 0.7× 20 0.3× 10 0.3× 14 0.7× 13 0.9× 5 132
Erman Tjiputra United Kingdom 6 130 1.1× 127 2.1× 27 0.8× 18 0.9× 6 0.4× 13 225
Altaf O. Mulani India 10 88 0.7× 72 1.2× 70 2.1× 26 1.3× 10 0.7× 25 319
Thomas Kipf Netherlands 7 120 1.0× 87 1.4× 9 0.3× 22 1.1× 15 1.1× 10 184

Countries citing papers authored by Jacob Menick

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Menick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Menick

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Menick. A scholar is included among the top collaborators of Jacob Menick 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 Jacob Menick. Jacob Menick 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.
Menick, Jacob, Erich Elsen, Utku Evci, et al.. (2021). Practical Real Time Recurrent Learning with a Sparse Approximation. International Conference on Learning Representations. 3 indexed citations
2.
Evci, Utku, Trevor Gale, Jacob Menick, Pablo Samuel Castro, & Erich Elsen. (2020). Rigging the Lottery: Making All Tickets Winners. International Conference on Machine Learning. 1. 2943–2952. 19 indexed citations
3.
Jayakumar, Siddhant M., Jacob Menick, Wojciech Marian Czarnecki, et al.. (2020). Multiplicative Interactions and Where to Find Them. International Conference on Learning Representations. 20 indexed citations
4.
Fortunato, Meire, Mohammad Gheshlaghi Azar, Bilal Piot, et al.. (2018). Noisy Networks For Exploration. arXiv (Cornell University). 115 indexed citations
5.
Graves, Alex, Jacob Menick, & Aäron van den Oord. (2018). Associative Compression Networks. arXiv (Cornell University). 2 indexed citations
6.
Menick, Jacob & Nal Kalchbrenner. (2018). Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling. arXiv (Cornell University). 14 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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