Andreas Gießl
About
In The Last Decade
Co-authorship network of co-authors of Andreas Gießl
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Gießl. A scholar is included among the top collaborators of Andreas Gießl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Gießl. Andreas Gießl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Andreas Gießl
64 papers receiving 2.2k citations
Fields of papers citing papers by Andreas Gießl
This network shows the impact of papers produced by Andreas Gießl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Gießl. The network helps show where Andreas Gießl may publish in the future.
Countries citing papers authored by Andreas Gießl
This map shows the geographic impact of Andreas Gießl's research. 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 Andreas Gießl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Gießl more than expected).
Top Papers & Citation Paths
Explore Andreas Gießl's most cited publications and discover how their work connects to other scholars through 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.