Shan Carter

13 total papers · 1.3k total citations
10 papers, 649 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 649 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), Generative Adversarial Networks and Image Synthesis (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Shan Carter is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Explainable Artificial Intelligence (XAI) (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, Gabriel Goh, Nick Cammarata, Michael Petrov, Zan Armstrong and Chelsea Voss and has published in prestigious journals such as .

In The Last Decade

Shan Carter

10 papers receiving 590 citations

Hit Papers

The Building Blocks of In... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shan Carter 399 192 65 46 43 10 649
Francesco Locatello 414 1.0× 164 0.9× 38 0.6× 23 0.5× 18 0.4× 24 681
Emily Reif 446 1.1× 108 0.6× 43 0.7× 69 1.5× 87 2.0× 16 775
Gabriel Goh 254 0.6× 111 0.6× 44 0.7× 16 0.3× 21 0.5× 16 558
Fred Hohman 403 1.0× 325 1.7× 18 0.3× 80 1.7× 25 0.6× 24 789
James Wexler 403 1.0× 210 1.1× 12 0.2× 86 1.9× 53 1.2× 12 629
Tarek R. Besold 447 1.1× 61 0.3× 67 1.0× 56 1.2× 54 1.3× 42 656
Richard Tomsett 262 0.7× 36 0.2× 33 0.5× 73 1.6× 49 1.1× 17 608
Federico Bianchi 420 1.1× 112 0.6× 19 0.3× 39 0.8× 63 1.5× 28 660
Khan Muhammad 390 1.0× 81 0.4× 19 0.3× 49 1.1× 131 3.0× 11 774
Yanming Zhu 382 1.0× 178 0.9× 17 0.3× 53 1.2× 18 0.4× 23 718

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

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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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