Shan Carter

1.3k total citations · 1 hit paper
10 papers, 651 citations indexed

About

Shan Carter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Shan Carter has authored 10 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Shan Carter's work include Adversarial Robustness in Machine Learning (3 papers), Neural Networks and Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Shan Carter is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Neural Networks and Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Shan Carter collaborates with scholars based in United States. Shan Carter's co-authors include Chris Olah, Ludwig Schubert, Ian Johnson, Alexander Mordvintsev, Arvind Satyanarayan, Nick Cammarata, Gabriel Goh, Michael Petrov, Zan Armstrong and Chelsea Voss and has published in prestigious journals such as .

In The Last Decade

Shan Carter

10 papers receiving 593 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.

The Building Blocks of Interpretability

2018 295 citations Chris Olah, Arvind Satyanarayan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Carter United States	8	402	189	66	47	43	10	651
Jörn-Henrik Jacobsen Canada	4	530 1.3×	249 1.3×	72 1.1×	39 0.8×	64 1.5×	6	891
Francesco Locatello Germany	9	418 1.0×	168 0.9×	40 0.6×	23 0.5×	18 0.4×	27	698
David López-Paz Germany	13	497 1.2×	312 1.7×	30 0.5×	29 0.6×	28 0.7×	26	867
Richard Tomsett United Kingdom	9	262 0.7×	36 0.2×	33 0.5×	74 1.6×	49 1.1×	17	614
Weijiang Yu China	12	332 0.8×	168 0.9×	20 0.3×	8 0.2×	61 1.4×	27	769
Ian Tenney United States	11	791 2.0×	186 1.0×	40 0.6×	11 0.2×	16 0.4×	13	951
Michael Johanson Canada	14	915 2.3×	72 0.4×	25 0.4×	45 1.0×	12 0.3×	19	1.2k
Kostiantyn Kucher Sweden	14	355 0.9×	328 1.7×	14 0.2×	14 0.3×	11 0.3×	48	678
Ivano Lauriola Italy	6	266 0.7×	80 0.4×	15 0.2×	9 0.2×	18 0.4×	17	500

Countries citing papers authored by Shan Carter

Since Specialization

Citations

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

Fields of papers citing papers by Shan Carter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Carter. A scholar is included among the top collaborators of Shan Carter 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 Shan Carter. Shan Carter 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:

10 of 10 papers shown

1.

Goh, Gabriel, Nick Cammarata, Chelsea Voss, et al.. (2021). Multimodal Neurons in Artificial Neural Networks. 6(3). 115 indexed citations

2.

Olah, Chris, Nick Cammarata, Ludwig Schubert, et al.. (2020). An Overview of Early Vision in InceptionV1. 5(4). 21 indexed citations

3.

Hilton, Jacob, Nick Cammarata, Shan Carter, Gabriel Goh, & Chris Olah. (2020). Understanding RL vision. 5(11). 12 indexed citations

4.

Bailey, Paige, Sofien Bouaziz, Shan Carter, et al.. (2019). Differentiable graphics with TensorFlow 2.0. 1–211. 3 indexed citations

5.

Carter, Shan, Zan Armstrong, Ludwig Schubert, Ian Johnson, & Chris Olah. (2019). Activation Atlas. 4(3). 82 indexed citations

6.

Olah, Chris, Arvind Satyanarayan, Ian Johnson, et al.. (2018). The Building Blocks of Interpretability. 3(3). 295 indexed citations breakdown →

7.

Carter, Shan, et al.. (2017). Using Artificial Intelligence to Augment Human Intelligence. 2(12). 77 indexed citations

8.

Olah, Chris & Shan Carter. (2017). Research Debt. 2(3). 9 indexed citations

9.

Olah, Chris & Shan Carter. (2016). Attention and Augmented Recurrent Neural Networks. 1(9). 31 indexed citations

10.

Carter, Shan, David Ha, Ian Johnson, & Chris Olah. (2016). Experiments in Handwriting with a Neural Network. 1(12). 6 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.

Explore authors with similar magnitude of impact