Domain-Specific Modeling: Enabling Full Code Generation

379 indexed citations
published 2008
Journal
CERN Document Server (European Organization for Nuclear Research)

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doi.org/w43829512 →

Countries where authors are citing Domain-Specific Modeling: Enabling Full Code Generation

Specialization
Citations

This map shows the geographic impact of Domain-Specific Modeling: Enabling Full Code Generation. 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 Domain-Specific Modeling: Enabling Full Code Generation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domain-Specific Modeling: Enabling Full Code Generation more than expected).

Fields of papers citing Domain-Specific Modeling: Enabling Full Code Generation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Domain-Specific Modeling: Enabling Full Code Generation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Domain-Specific Modeling: Enabling Full Code Generation.

About Domain-Specific Modeling: Enabling Full Code Generation

This paper, published in 2008, received 379 indexed citations . Written by Steven Kelly and Juha‐Pekka Tolvanen covering the research area of Software, Management Information Systems and Information Systems. It is primarily cited by scholars working on Software (264 citations), Artificial Intelligence (225 citations) and Information Systems (210 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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/w43829512.

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