Patrick Veit‐Haibach
About
In The Last Decade
Co-authorship network of co-authors of Patrick Veit‐Haibach
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Veit‐Haibach. A scholar is included among the top collaborators of Patrick Veit‐Haibach 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 Patrick Veit‐Haibach. Patrick Veit‐Haibach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Patrick Veit‐Haibach
209 papers receiving 4.9k citations
Fields of papers citing papers by Patrick Veit‐Haibach
This network shows the impact of papers produced by Patrick Veit‐Haibach. 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 Patrick Veit‐Haibach. The network helps show where Patrick Veit‐Haibach may publish in the future.
Countries citing papers authored by Patrick Veit‐Haibach
This map shows the geographic impact of Patrick Veit‐Haibach'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 Patrick Veit‐Haibach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Veit‐Haibach more than expected).
Top Papers & Citation Paths
Explore Patrick Veit‐Haibach'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.