Model-driven software development technology, engineering, management
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w75902400 →Countries where authors are citing Model-driven software development technology, engineering, management
This map shows the geographic impact of Model-driven software development technology, engineering, management. 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 Model-driven software development technology, engineering, management with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Model-driven software development technology, engineering, management more than expected).
Fields of papers citing Model-driven software development technology, engineering, management
This network shows the impact of Model-driven software development technology, engineering, management. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Model-driven software development technology, engineering, management.
About Model-driven software development technology, engineering, management
This paper, published in 2006, received 451 indexed citations . Written by Thomas Stahl, Markus Voelter and Krzysztof Czarnecki covering the research area of Software, Management Information Systems and Information Systems. It is primarily cited by scholars working on Information Systems (293 citations), Artificial Intelligence (253 citations) and Software (220 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/w75902400.