Watch what I do: programming by demonstration

649 indexed citations
published 1993

Countries where authors are citing Watch what I do: programming by demonstration

Specialization
Citations

This map shows the geographic impact of Watch what I do: programming by demonstration. 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 Watch what I do: programming by demonstration with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Watch what I do: programming by demonstration more than expected).

Fields of papers citing Watch what I do: programming by demonstration

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Watch what I do: programming by demonstration. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Watch what I do: programming by demonstration.

About Watch what I do: programming by demonstration

This paper, published in 1993, received 649 indexed citations . Written by Allen Cypher, Daniel C. Halbert, David Kurlander, Henry Lieberman, David Maulsby and Brad A. Myers. It is primarily cited by scholars working on Artificial Intelligence (259 citations), Information Systems (207 citations) and Software (156 citations). Published in MIT Press eBooks.

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/w10563645.

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