Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime
In The Last Decade
doi.org/w29365876 →Countries where authors are citing Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime
This map shows the geographic impact of Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime. 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 for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime more than expected).
Fields of papers citing Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime
This network shows the impact of Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime.
About Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime
This paper, published in 2008, received 418 indexed citations . Written by Reinhold Bayerer, Tobias Herrmann, Thomas Licht and Josef Lutz covering the research area of Electrical and Electronic Engineering. It is primarily cited by scholars working on Electrical and Electronic Engineering (406 citations), Renewable Energy, Sustainability and the Environment (48 citations) and Automotive Engineering (44 citations).
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/w29365876.