The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Charles Sutton sits on this spectrum.
This scientist: 165 publications — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Charles Sutton sits on this spectrum.
This scientist: 54 D-Index — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Charles Sutton is a researcher affiliated with Google in the United States. Their work primarily spans the field of Computer Science with a focus on Artificial Intelligence, Information Systems, and Software. Sutton's research integrates aspects of software engineering, natural language processing, and machine learning applied in various contexts including materials science and engineering.
Their publication record includes contributions to several topics as indicated by the distribution of their research themes. These topics include:
Charles Sutton's recent research outputs consist of papers published in notable venues. Among these are:
Throughout their career, Sutton has frequently published in several venues, with a majority of papers appearing in arXiv (Cornell University). Other venues include the Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Scientific Data, University of Edinburgh, and OPAL (Open@LaTrobe) at La Trobe University.
The researcher has collaborated with various co-authors on multiple occasions. Frequent collaborators include:
Charles Sutton's work is characterized by a strong interdisciplinary approach that combines software engineering principles, large-scale language modeling, and practical applications of machine learning. This is reflected in their engagement with both foundational AI research and application-driven studies across diverse scientific domains.
Yichuan Zhang;Charles Sutton;Amos Storkey;Zoubin Ghahramani
Charles Sutton;Andrew McCallum
Charles Sutton;Andrew McCallum
Akash Srivastava;Charles Sutton
Charles Sutton;Khashayar Rohanimanesh;Andrew McCallum
Miltiadis Allamanis;Earl T. Barr;Premkumar Devanbu;Charles Sutton
Mingjun Zhong;Nigel Goddard;Charles Sutton
Charles Sutton;Andrew McCallum
Charles Sutton;Andrew McCallum;Khashayar Rohanimanesh
Akash Srivastava;Lazar Valkov;Chris Russell;Michael U. Gutmann
Miltiadis Allamanis;Hao Peng;Charles A. Sutton
Miltiadis Allamanis;Earl T. Barr;Christian Bird;Charles Sutton
Miltiadis Allamanis;Earl T. Barr;Christian Bird;Charles Sutton
Akash Srivastava;Charles Sutton
Miltiadis Allamanis;Charles Sutton
Blaine Nelson;Marco Barreno;Fuching Jack Chi;Anthony D. Joseph
Chaoyun Zhang;Mingjun Zhong;Zongzuo Wang;Nigel Goddard
Benedek Rozemberczki;Ryan Davies;Rik Sarkar;Charles Sutton
Peter Bodík;Rean Griffith;Charles Sutton;Armando Fox
Chaoyun Zhang;Mingjun Zhong;Zongzuo Wang;Nigel H. Goddard
Mingjun Zhong;Nigel Goddard;Charles Sutton
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Exploring computer science in the USA opens the door to a range of online degrees and career pathways. Many universities now offer computer science accelerated program options that allow students to complete their degrees more quickly and efficiently. These programs are ideal for motivated learners seeking to fast-track their careers in tech.
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