LISP and Symbolic Computation

282 papers and 5.4k indexed citations

About

The 282 papers published in LISP and Symbolic Computation in the last decades have received a total of 5.4k indexed citations. Papers published in LISP and Symbolic Computation usually cover Artificial Intelligence (227 papers), Computational Theory and Mathematics (140 papers) and Hardware and Architecture (89 papers) specifically the topics of Logic, programming, and type systems (203 papers), Formal Methods in Verification (107 papers) and Parallel Computing and Optimization Techniques (79 papers). The most active scholars publishing in LISP and Symbolic Computation are Antoine Miné, John Reynolds, Yoshihiko Futamura, C. Strachey, Andrew K. Wright, Matthias Felleisen, Andrew W. Appel, Amr Sabry, Guy L. Steele and Mitchell Wand.

In The Last Decade

LISP and Symbolic Computation

251 papers receiving 4.7k citations

Countries where authors publish in LISP and Symbolic Computation

Since Specialization
Citations

This map shows the geographic impact of research published in LISP and Symbolic Computation. 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 papers published in LISP and Symbolic Computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LISP and Symbolic Computation more than expected).

Fields of papers published in LISP and Symbolic Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in LISP and Symbolic Computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in LISP and Symbolic Computation.

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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2026