Case Study Research in Software Engineering: Guidelines and Examples
Impact in
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- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w92249707 →Countries where authors are citing Case Study Research in Software Engineering: Guidelines and Examples
This map shows the geographic impact of Case Study Research in Software Engineering: Guidelines and Examples. 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 Case Study Research in Software Engineering: Guidelines and Examples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Case Study Research in Software Engineering: Guidelines and Examples more than expected).
Fields of papers citing Case Study Research in Software Engineering: Guidelines and Examples
This network shows the impact of Case Study Research in Software Engineering: Guidelines and Examples. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Case Study Research in Software Engineering: Guidelines and Examples.
About Case Study Research in Software Engineering: Guidelines and Examples
This paper, published in 2012, received 540 indexed citations . Written by Per Runeson, Martin Höst, Austen Rainer and Björn Regnell covering the research area of Information Systems. It is primarily cited by scholars working on Information Systems (419 citations), Artificial Intelligence (153 citations), Computer Science Applications (129 citations), Software (128 citations) and Computer Networks and Communications (81 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/w92249707.