George Papamakarios

2.7k total citations
9 papers, 185 citations indexed

About

George Papamakarios is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, George Papamakarios has authored 9 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in George Papamakarios's work include Sparse and Compressive Sensing Techniques (1 paper), Protein Structure and Dynamics (1 paper) and Neural Networks and Applications (1 paper). George Papamakarios is often cited by papers focused on Sparse and Compressive Sensing Techniques (1 paper), Protein Structure and Dynamics (1 paper) and Neural Networks and Applications (1 paper). George Papamakarios collaborates with scholars based in United Kingdom, France and Switzerland. George Papamakarios's co-authors include Iain Murray, Conor Durkan, Peter Wirnsberger, Borja Ibarz, Stefanos Zafeiriou, Yannis Panagakis, Niannan Xue, Danilo Jimenez Rezende, K. Cranmer and Phiala E. Shanahan and has published in prestigious journals such as Machine Learning Science and Technology, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

George Papamakarios

9 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Papamakarios United Kingdom	5	55	38	18	13	12	9	185
Alexander Shmakov United States	8	94 1.7×	23 0.6×	7 0.4×	36 2.8×	3 0.3×	12	209
Zijian Zhao China	10	66 1.2×	53 1.4×	50 2.8×	19 1.5×	2 0.2×	29	246
Takuma Yamaguchi Japan	10	58 1.1×	87 2.3×	29 1.6×	4 0.3×	20 1.7×	33	309
Joseph Mueller United States	13	37 0.7×	18 0.5×	68 3.8×	14 1.1×	13 1.1×	37	487
Mike Innes India	3	70 1.3×	17 0.4×	3 0.2×	4 0.3×	17 1.4×	4	216
Ajay Kumar Shrivastava India	11	33 0.6×	25 0.7×	77 4.3×	15 1.2×	5 0.4×	27	276
Giuseppe Fiameni Italy	8	121 2.2×	191 5.0×	44 2.4×	23 1.8×	6 0.5×	25	343
Katsuhiko Ishiguro Japan	12	151 2.7×	88 2.3×	7 0.4×	2 0.2×	28 2.3×	53	420
Gyoo‐Soo Chae South Korea	7	64 1.2×	38 1.0×	16 0.9×		6 0.5×	41	220
Stefano Silvestrini Italy	8	51 0.9×	34 0.9×	72 4.0×	2 0.2×	10 0.8×	35	274

Countries citing papers authored by George Papamakarios

Since Specialization

Citations

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

Fields of papers citing papers by George Papamakarios

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Papamakarios

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

All Works

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9 of 9 papers shown

1.

Wirnsberger, Peter, Borja Ibarz, & George Papamakarios. (2023). Estimating Gibbs free energies via isobaric-isothermal flows. Machine Learning Science and Technology. 4(3). 35039–35039. 9 indexed citations

2.

Kim, Hyunjik, George Papamakarios, & Andriy Mnih. (2021). The Lipschitz Constant of Self-Attention. International Conference on Machine Learning. 5562–5571. 1 indexed citations

3.

Rezende, Danilo Jimenez, George Papamakarios, Sébastien Racanière, et al.. (2020). Normalizing Flows on Tori and Spheres. International Conference on Machine Learning. 1. 8083–8092. 4 indexed citations

4.

Durkan, Conor, et al.. (2020). nflows: normalizing flows in PyTorch. Zenodo (CERN European Organization for Nuclear Research). 37 indexed citations

5.

Durkan, Conor, Iain Murray, & George Papamakarios. (2020). On Contrastive Learning for Likelihood-free Inference. arXiv (Cornell University). 1. 2771–2781. 7 indexed citations

6.

Durkan, Conor, et al.. (2019). Cubic-Spline Flows. International Conference on Machine Learning. 1 indexed citations

7.

Xue, Niannan, et al.. (2017). Robust low-rank tensor modelling using Tucker and CP decomposition. 1185–1189. 8 indexed citations

8.

Papamakarios, George & Iain Murray. (2016). 30th Conference on Neural Information Processing Systems (NIPS 2016). Neural Information Processing Systems. 116 indexed citations

9.

Papamakarios, George & Iain Murray. (2015). Distilling Intractable Generative Models. 2 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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