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.
Techniques to Identify Themes
20033.6k citationsH. Russell Bernard et al.profile →
Countries citing papers authored by H. Russell Bernard
Since
Specialization
Citations
This map shows the geographic impact of H. Russell Bernard'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 H. Russell Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Russell Bernard more than expected).
Fields of papers citing papers by H. Russell Bernard
This network shows the impact of papers produced by H. Russell Bernard. 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 H. Russell Bernard. The network helps show where H. Russell Bernard may publish in the future.
Co-authorship network of co-authors of H. Russell Bernard
This figure shows the co-authorship network connecting the top 25 collaborators of H. Russell Bernard.
A scholar is included among the top collaborators of H. Russell Bernard 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 H. Russell Bernard. H. Russell Bernard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wutich, Amber, Melissa Beresford, & H. Russell Bernard. (2024). Sample Sizes for 10 Types of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, and Next Steps. International Journal of Qualitative Methods. 23.48 indexed citations breakdown →
Weller, Susan C., Ben Vickers, H. Russell Bernard, et al.. (2018). Open-ended interview questions and saturation. PLoS ONE. 13(6). e0198606–e0198606.325 indexed citations breakdown →
8.
Cohen, Joel B. & H. Russell Bernard. (2013). Evolutionary Psychology and Consumer Behavior: A Constructive Critique. SSRN Electronic Journal.1 indexed citations
9.
Bernard, H. Russell. (2012). (1969:60) METHODS BELONG TO ALL OF US.
Hannan, Edward L., Harold Kilburn, Jennifer O’Donnell, et al.. (1992). A longitudinal analysis of the relationship between in-hospital mortality in New York State and the volume of abdominal aortic aneurysm surgeries performed.. PubMed. 27(4). 517–42.131 indexed citations
Hannan, Edward L., Harold Kilburn, H. Russell Bernard, et al.. (1991). Coronary artery bypass surgery: the relationship between inhospital mortality rate and surgical volume after controlling for clinical risk factors.. PubMed. 29(11). 1094–107.280 indexed citations
Je, Kaplan, et al.. (1977). Reticuloendothelial phagocytic response to bacterial challenge after traumatic shock.. PubMed. 4(1). 1–12.23 indexed citations
18.
Bernard, H. Russell, et al.. (1975). On the Structure of Affective and Effective Sociometric Relations in a Closed Group Over Time,. Defense Technical Information Center (DTIC).1 indexed citations
Bernard, H. Russell. (1968). Kalymnos : economic and cultural change on a Greek sponge fishing island. University Microfilms International eBooks.1 indexed citations
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.