Organizational learning II: Theory, method and practice
Impact in
- Authors
- Massimo Marraffa
- Journal
- Iris (Roma Tre University)
In The Last Decade
doi.org/w88274170 →Countries where authors are citing Organizational learning II: Theory, method and practice
This map shows the geographic impact of Organizational learning II: Theory, method and practice. 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 Organizational learning II: Theory, method and practice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Organizational learning II: Theory, method and practice more than expected).
Fields of papers citing Organizational learning II: Theory, method and practice
This network shows the impact of Organizational learning II: Theory, method and practice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Organizational learning II: Theory, method and practice.
About Organizational learning II: Theory, method and practice
This paper, published in 1998, received 1.8k indexed citations . Written by Massimo Marraffa. It is primarily cited by scholars working on Strategy and Management (548 citations), Organizational Behavior and Human Resource Management (546 citations), Management Science and Operations Research (322 citations), Education (275 citations) and Sociology and Political Science (266 citations). Published in Iris (Roma Tre University).
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/w88274170.