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.
Countries citing papers authored by Satit Niyomyaht
Since Specialization
Citations
This map shows the geographic impact of Satit Niyomyaht'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 Satit Niyomyaht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satit Niyomyaht more than expected).
This network shows the impact of papers produced by Satit Niyomyaht. 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 Satit Niyomyaht. The network helps show where Satit Niyomyaht may publish in the future.
Satit Niyomyaht is a scholar working on Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 393 indexed citations. The work is most often cited by research in Human Factors and Ergonomics (30 citations), Accounting (99 citations) and Marketing (65 citations). Satit Niyomyaht has collaborated with scholars based in Thailand. Their work appears in journals such as International Journal of Innovative Science and Research Technology (IJISRT).
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.