The Definition of Standard ML (Revised)
Impact in
Classified as
- Journal
- Research at the University of Copenhagen (University of Copenhagen)
In The Last Decade
doi.org/w4296894 →Countries where authors are citing The Definition of Standard ML (Revised)
This map shows the geographic impact of The Definition of Standard ML (Revised). 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 The Definition of Standard ML (Revised) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Definition of Standard ML (Revised) more than expected).
Fields of papers citing The Definition of Standard ML (Revised)
This network shows the impact of The Definition of Standard ML (Revised). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Definition of Standard ML (Revised).
About The Definition of Standard ML (Revised)
This paper, published in 1997, received 594 indexed citations . Written by Robin Milner, Robert Harper, David MacQueen and Mads Tofte covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (503 citations), Computational Theory and Mathematics (261 citations), Hardware and Architecture (178 citations), Information Systems (121 citations) and Computer Networks and Communications (117 citations). Published in Research at the University of Copenhagen (University of Copenhagen).
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.
This paper is also available at doi.org/w4296894.