A Nonlinear Mapping for Data Structure Analysis1969 · 2.7k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by John W. Sammon
Since Specialization
Citations
This map shows the geographic impact of John W. Sammon'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 John W. Sammon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Sammon more than expected).
This network shows the impact of papers produced by John W. Sammon. 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 John W. Sammon. The network helps show where John W. Sammon may publish in the future.
Co-authors
The 3 scholars most cited alongside John W. Sammon, 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 John W. SammonLine = papers co-authored togetherJohn W. Sammon links everyone, so they are left out of the graph.
John W. Sammon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Networks and Communications and Ecology, having authored 9 papers that have together received 3.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Handwritten Text Recognition Techniques (2 papers), Remote-Sensing Image Classification (2 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (2 papers), Medical and Biological Sciences (1 paper), Remote Sensing in Agriculture (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (453 citations), Artificial Intelligence (1.3k citations), Analytical Chemistry (262 citations) and Media Technology (162 citations). John W. Sammon has collaborated with scholars based in United States and Poland. Frequent co-authors include Donald H. Foley, Daniel Stowens and Donald F. Roberts. Their work appears in journals such as IEEE Transactions on Computers, Pattern Recognition, Psychiatric Quarterly and Defense Technical Information Center (DTIC).
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.