Nicholas Frosst

1.5k total citations · 1 hit paper
4 papers, 434 citations indexed

About

Nicholas Frosst is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicholas Frosst has authored 4 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nicholas Frosst's work include Anomaly Detection Techniques and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nicholas Frosst is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nicholas Frosst collaborates with scholars based in United States. Nicholas Frosst's co-authors include Geoffrey E. Hinton, Sara Sabour, Nicolas Papernot, Colin Raffel, Garrison W. Cottrell and Yao Qin and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Nicholas Frosst

4 papers receiving 413 citations

Hit Papers

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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.

Matrix capsules with EM routing

2018 406 citations Geoffrey E. Hinton, Sara Sabour et al. International Conference on Learning Representations profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Frosst United States	4	244	234	39	29	28	4	434
Sara Sabour United States	5	269 1.1×	220 0.9×	40 1.0×	30 1.0×	29 1.0×	5	462
Qi Ye China	8	230 0.9×	222 0.9×	35 0.9×	18 0.6×	15 0.5×	27	425
Jiebo Song China	3	343 1.4×	337 1.4×	35 0.9×	38 1.3×	18 0.6×	3	594
Ben Fielding United Kingdom	5	198 0.8×	213 0.9×	17 0.4×	40 1.4×	20 0.7×	6	465
Mighty Abra Ayidzoe Ghana	7	131 0.5×	141 0.6×	69 1.8×	25 0.9×	43 1.5×	17	422
A. Gacsádi Romania	8	144 0.6×	135 0.6×	50 1.3×	22 0.8×	18 0.6×	42	285
Patrick Kwabena Mensah Ghana	7	117 0.5×	119 0.5×	64 1.6×	21 0.7×	42 1.5×	27	371
Zhiqiang He China	8	160 0.7×	168 0.7×	59 1.5×	12 0.4×	23 0.8×	25	425
Mushtaq Ali Pakistan	11	202 0.8×	87 0.4×	40 1.0×	27 0.9×	54 1.9×	33	386

Countries citing papers authored by Nicholas Frosst

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Frosst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Frosst

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

All Works

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4 of 4 papers shown

1.

Qin, Yao, Nicholas Frosst, Sara Sabour, et al.. (2020). Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. arXiv (Cornell University). 7 indexed citations

2.

Frosst, Nicholas, Nicolas Papernot, & Geoffrey E. Hinton. (2019). Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. arXiv (Cornell University). 2012–2020. 13 indexed citations

3.

Hinton, Geoffrey E., Sara Sabour, & Nicholas Frosst. (2018). Matrix capsules with EM routing. International Conference on Learning Representations. 406 indexed citations breakdown →

4.

Hinton, Geoffrey E. & Nicholas Frosst. (2017). Distilling a Neural Network Into a Soft Decision Tree. 8 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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