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.
World ocean heat content and thermosteric sea level change (0–2000 m), 1955–2010
2012801 citationsSydney Levitus, John I. Antonov et al.Geophysical Research Lettersprofile →
Countries citing papers authored by Hernan E. Garcia
Since
Specialization
Citations
This map shows the geographic impact of Hernan E. Garcia'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 Hernan E. Garcia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hernan E. Garcia more than expected).
Fields of papers citing papers by Hernan E. Garcia
This network shows the impact of papers produced by Hernan E. Garcia. 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 Hernan E. Garcia. The network helps show where Hernan E. Garcia may publish in the future.
Co-authorship network of co-authors of Hernan E. Garcia
This figure shows the co-authorship network connecting the top 25 collaborators of Hernan E. Garcia.
A scholar is included among the top collaborators of Hernan E. Garcia 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 Hernan E. Garcia. Hernan E. Garcia is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boyer, Timothy P., Ricardo Locarnini, O Baranova, et al.. (2018). The World Ocean Atlas 2018: Improvements and Uses of Climatological Mean Fields. AGU Fall Meeting Abstracts. 2018.2 indexed citations
5.
Locarnini, Ricardo, Alexey Mishonov, John I. Antonov, et al.. (2014). World ocean atlas 2013. Volume 1, Temperature. NOAA Institutional Repository.313 indexed citations breakdown →
6.
Boyer, Timothy P., John I. Antonov, O Baranova, et al.. (2014). World ocean database 2013.. NOAA Institutional Repository.126 indexed citations
7.
Zweng, M., James Reagan, John I. Antonov, et al.. (2014). World ocean atlas 2013. Volume 2, Salinity. NOAA Institutional Repository.328 indexed citations breakdown →
Levitus, Sydney, John I. Antonov, O Baranova, et al.. (2013). The World Ocean Database. Data Science Journal. 12(0). WDS229–WDS234.103 indexed citations
10.
Levitus, Sydney, John I. Antonov, Timothy P. Boyer, et al.. (2012). World ocean heat content and thermosteric sea level change (0–2000 m), 1955–2010. Geophysical Research Letters. 39(10).801 indexed citations breakdown →
11.
Locarnini, Ricardo, Sydney Levitus, Tim Boyer, et al.. (2012). World Ocean Atlas 2013: Improved vertical and horizontal resolution. AGUFM. 2012.2 indexed citations
12.
Levitus, Sydney, John I. Antonov, Timothy P. Boyer, et al.. (2009). Global ocean heat content 1955–2008 in light of recently revealed instrumentation problems. Geophysical Research Letters. 36(7).582 indexed citations breakdown →
13.
Locarnini, Ricardo, Alexey Mishonov, John I. Antonov, Timothy P. Boyer, & Hernan E. Garcia. (2006). NOAA Atlas NESDIS 61.25 indexed citations
Levitus, Sydney, John I. Antonov, Timothy P. Boyer, Hernan E. Garcia, & Ricardo Locarnini. (2005). EOF analysis of upper ocean heat content, 1956–2003. Geophysical Research Letters. 32(18).24 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.