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.
This map shows the geographic impact of Sean Ho'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 Sean Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Ho more than expected).
This network shows the impact of papers produced by Sean Ho. 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 Sean Ho. The network helps show where Sean Ho may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Sean Ho, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Sean HoLine = papers co-authored togetherSean Ho links everyone, so they are left out of the graph.
Sean Ho is a scholar working on Computer Graphics and Computer-Aided Design, Biophysics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 6.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Medical Image Segmentation Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Indoor and Outdoor Localization Technologies (2 papers), 3D Modeling in Geospatial Applications (2 papers), AI in cancer detection (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Neurology (455 citations) and Computer Vision and Pattern Recognition (953 citations). Sean Ho has collaborated with scholars based in United States. Frequent co-authors include Guido Gerig, Joseph Piven, Paul A. Yushkevich, James C. Gee, Heather C. Hazlett, Rachel G. Smith, E. Bullitt, Philip David, William Ribarsky and Douglas D. Davis. Their work appears in journals such as NeuroImage, Lecture notes in computer science, Defense Technical Information Center (DTIC), IEEE Visualization and Zenodo (CERN European Organization for Nuclear Research).
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.