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.
International Journal of Information Management
2005598 citationsPhilip HillsInternational Journal of Information Managementprofile →
This map shows the geographic impact of Philip Hills'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 Philip Hills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Hills more than expected).
This network shows the impact of papers produced by Philip Hills. 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 Philip Hills. The network helps show where Philip Hills may publish in the future.
2009·International Journal of Information Management·Philip Hills
2
2
International Journal of Information Managementbreakdown →
2005·International Journal of Information Management·Philip Hills
598
About Philip Hills
Philip Hills is a scholar working on Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 600 indexed citations. The work is most often cited by research in Information Systems and Management (116 citations), Marketing (90 citations) and Management Information Systems (84 citations). Their work appears in journals such as International Journal of Information Management.
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.