The Microsoft Research - University of Trento Centre for Computational and Systems Biology
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In The Last Decade
Fields of papers published by authors at The Microsoft Research - University of Trento Centre for Computational and Systems Biology
Since SpecializationThis network shows the impact of papers affiliated with The Microsoft Research - University of Trento Centre for Computational and Systems Biology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with The Microsoft Research - University of Trento Centre for Computational and Systems Biology at the time of their publication.
Countries citing scholars working at The Microsoft Research - University of Trento Centre for Computational and Systems Biology
Since SpecializationThis map shows the geographic impact of research produced by authors working at The Microsoft Research - University of Trento Centre for Computational and Systems Biology. 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 papers produced at The Microsoft Research - University of Trento Centre for Computational and Systems Biology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Microsoft Research - University of Trento Centre for Computational and Systems Biology more than expected).
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.