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.
A technique for objective analysis and design of oceanographic experiments applied to MODE-73
This map shows the geographic impact of Russ E. Davis'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 Russ E. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russ E. Davis more than expected).
This network shows the impact of papers produced by Russ E. Davis. 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 Russ E. Davis. The network helps show where Russ E. Davis may publish in the future.
Co-authorship network of co-authors of Russ E. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Russ E. Davis.
A scholar is included among the top collaborators of Russ E. Davis 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 Russ E. Davis. Russ E. Davis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chao, Yi, et al.. (2012). A Self-Powered Fast-Sampling Profiling Float in support of a Mesoscale Ocean Observing System in the Western North Pacific. AGUFM. 2012.1 indexed citations
3.
Roemmich, Dean, Gregory C. Johnson, Stephen C. Riser, et al.. (2009). The Argo Program: Observing the Global Ocean with Profiling Floats. SHILAP Revista de lepidopterología.13 indexed citations
Leonard, Naomi Ehrich, Derek A. Paley, François Lekien, et al.. (2007). Collective Motion, Sensor Networks, and Ocean Sampling The goal is design and control of optimum trajectories for mobile sensor networks, like a fleet of self-directed underwater gliders that move with ocean currents and sample dynamic ocean variables.. Proceedings of the IEEE. 95(1). 48–74.1 indexed citations
6.
Bellingham, James G., et al.. (2006). Error Analysis and Sampling Design for Ocean Flux Estimation. AGU Fall Meeting Abstracts. 2006.1 indexed citations
Bellingham, James G., et al.. (2005). Optimizing Autonomous Underwater Vehicles' Survey for Reconstruction of an Ocean Field that Varies in Space and Time. AGU Fall Meeting Abstracts. 2005.4 indexed citations
9.
Rudnick, Daniel L., Russ E. Davis, Charles C. Eriksen, David M. Fratantoni, & Mary Jane Perry. (2004). Underwater Gliders for Ocean Research. Marine Technology Society Journal. 38(2). 73–84.531 indexed citations breakdown →
Rudnick, Daniel L. & Russ E. Davis. (2003). Red noise and regime shifts. Deep Sea Research Part I Oceanographic Research Papers. 50(6). 691–699.147 indexed citations
Arduini, Robert F., et al.. (1981). Earth feature identification for onboard multispectral data editing: Computational experiments. NASA Technical Reports Server (NASA). 17–32.1 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.