Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A comprehensive set of sequence analysis programs for the VAX
198413.8k citationsPaul Haeberli, Oliver Smithies et al.Nucleic Acids Researchprofile →
This map shows the geographic impact of Paul Haeberli'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 Paul Haeberli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Haeberli more than expected).
This network shows the impact of papers produced by Paul Haeberli. 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 Paul Haeberli. The network helps show where Paul Haeberli may publish in the future.
Co-authorship network of co-authors of Paul Haeberli
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Haeberli.
A scholar is included among the top collaborators of Paul Haeberli 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 Paul Haeberli. Paul Haeberli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
12 of 12 papers shown
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Work
Indexed citations
1
Texture Mapping as a Fundamental Drawing Primitive
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.