Sam Tobin-Hochstadt

31 papers and 360 indexed citations i.

About

Sam Tobin-Hochstadt is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Sam Tobin-Hochstadt has authored 31 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 20 papers in Information Systems and 12 papers in Software. Recurrent topics in Sam Tobin-Hochstadt’s work include Logic, programming, and type systems (22 papers), Software Engineering Research (19 papers) and Parallel Computing and Optimization Techniques (11 papers). Sam Tobin-Hochstadt is often cited by papers focused on Logic, programming, and type systems (22 papers), Software Engineering Research (19 papers) and Parallel Computing and Optimization Techniques (11 papers). Sam Tobin-Hochstadt collaborates with scholars based in United States, United Kingdom and Argentina. Sam Tobin-Hochstadt's co-authors include Matthias Felleisen, David Van Horn, Matthew Flatt, Christos Dimoulas, Robert Bruce Findler, Jeremy G. Siek, Jay McCarthy, Vincent St-Amour, Ryan Culpepper and David Kempe and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Journal of Functional Programming.

In The Last Decade

Co-authorship network of co-authors of Sam Tobin-Hochstadt i

Fields of papers citing papers by Sam Tobin-Hochstadt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Tobin-Hochstadt. 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 Sam Tobin-Hochstadt. The network helps show where Sam Tobin-Hochstadt may publish in the future.

Countries citing papers authored by Sam Tobin-Hochstadt

Since Specialization
Citations

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

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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