The object constraint language: getting your models ready for MDA

422 indexed citations
published 2003
Journal
CERN Document Server (European Organization for Nuclear Research)

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Countries where authors are citing The object constraint language: getting your models ready for MDA

Specialization
Citations

This map shows the geographic impact of The object constraint language: getting your models ready for MDA. 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 object constraint language: getting your models ready for MDA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The object constraint language: getting your models ready for MDA more than expected).

Fields of papers citing The object constraint language: getting your models ready for MDA

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The object constraint language: getting your models ready for MDA. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The object constraint language: getting your models ready for MDA.

About The object constraint language: getting your models ready for MDA

This paper, published in 2003, received 422 indexed citations . Written by Jos Warmer and Anneke Kleppe covering the research area of Software, Development and Information Systems. It is primarily cited by scholars working on Information Systems (256 citations), Software (254 citations) and Artificial Intelligence (254 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/w2863285.

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