Andrea Frome

5.2k total citations · 2 hit papers
7 papers, 2.0k citations indexed

About

Andrea Frome is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Andrea Frome has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Andrea Frome's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (2 papers). Andrea Frome is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (2 papers). Andrea Frome collaborates with scholars based in United States, Algeria and Canada. Andrea Frome's co-authors include Greg S. Corrado, Samy Bengio, Tomáš Mikolov, Jeff Dean, Marc’Aurelio Ranzato, Yoram Singer, Jitendra Malik, Fei Sha, Jonathon Shlens and Jay B. Dean and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Andrea Frome

7 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

DeViSE: A Deep Visual-Semantic Embedding Model

2013 1.1k citations Andrea Frome, Greg S. Corrado et al. Neural Information Processing Systems profile →
Zero-Shot Learning by Convex Combination of Semantic Embeddings

2013 427 citations Mohammad Norouzi, Tomáš Mikolov et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Frome United States	6	1.6k	1.4k	215	90	84	7	2.0k
Han-Jia Ye China	19	778 0.5×	1.2k 0.9×	164 0.8×	83 0.9×	91 1.1×	57	1.6k
Sachin Ravi United States	5	706 0.5×	1.0k 0.8×	147 0.7×	51 0.6×	51 0.6×	5	1.2k
Marc Masana Austria	10	720 0.5×	1.3k 0.9×	142 0.7×	59 0.7×	70 0.8×	15	1.7k
Konstantinos Bousmalis United Kingdom	9	1.0k 0.6×	783 0.6×	142 0.7×	126 1.4×	98 1.2×	16	1.5k
Xu Jia China	9	593 0.4×	954 0.7×	129 0.6×	58 0.6×	48 0.6×	17	1.3k
Yuan Shi China	10	928 0.6×	1.3k 0.9×	99 0.5×	109 1.2×	129 1.5×	28	1.8k
Rahaf Aljundi Switzerland	10	823 0.5×	1.3k 1.0×	156 0.7×	47 0.5×	61 0.7×	15	1.7k
Lucas Beyer Germany	11	932 0.6×	775 0.6×	112 0.5×	85 0.9×	99 1.2×	15	1.6k
Piotr Koniusz Australia	25	1.6k 1.0×	1.2k 0.9×	192 0.9×	370 4.1×	42 0.5×	67	2.2k
Yaoyao Liu Germany	5	474 0.3×	683 0.5×	123 0.6×	71 0.8×	39 0.5×	6	923

Countries citing papers authored by Andrea Frome

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Frome

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Frome

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Hooker, Sara, Aaron Courville, Yann Dauphin, & Andrea Frome. (2019). Selective Brain Damage: Measuring the Disparate Impact of Model Pruning. 7 indexed citations

2.

Sermanet, Pierre, Andrea Frome, & Esteban Real. (2015). Attention for fine-grained categorization. International Conference on Learning Representations. 15 indexed citations

3.

Frome, Andrea, Greg S. Corrado, Samy Bengio, et al.. (2013). DeViSE: A Deep Visual-Semantic Embedding Model. Neural Information Processing Systems. 26. 2121–2129. 1145 indexed citations breakdown →

4.

Norouzi, Mohammad, Tomáš Mikolov, Samy Bengio, et al.. (2013). Zero-Shot Learning by Convex Combination of Semantic Embeddings. arXiv (Cornell University). 427 indexed citations breakdown →

5.

Frome, Andrea, German Cheung, Marco Zennaro, et al.. (2009). Large-scale privacy protection in Google Street View. 2373–2380. 161 indexed citations

6.

Frome, Andrea, Yoram Singer, Fei Sha, & Jitendra Malik. (2007). Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. 1–8. 229 indexed citations

7.

Malik, Jitendra & Andrea Frome. (2007). Learning distance functions for exemplar-based object recognition. 3 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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