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.
Tree allometry and improved estimation of carbon stocks and balance in tropical forests
This map shows the geographic impact of Bruce Nelson'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 Bruce Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce Nelson more than expected).
This network shows the impact of papers produced by Bruce Nelson. 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 Bruce Nelson. The network helps show where Bruce Nelson may publish in the future.
Co-authorship network of co-authors of Bruce Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce Nelson.
A scholar is included among the top collaborators of Bruce Nelson 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 Bruce Nelson. Bruce Nelson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Martins, Giordane, Bruce Nelson, Matthias Sörgel, et al.. (2019). Sensitivity of Ball-Berry stomatal conductance model parameters to leaf age in the upper canopy of a central Amazon forest. EGUGA. 19096.1 indexed citations
Nelson, Bruce, et al.. (2015). Pollen colleded by Trigona williana (Hymenoptera: Apidae) in Central Amazonia. Revista de Biología Tropical. 44. 567–573.4 indexed citations
Wu, Jin, Bruce Nelson, Julia Valentim Tavares, et al.. (2014). Seasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera. AGU Fall Meeting Abstracts. 2014.3 indexed citations
12.
Wu, Jianshuang, Natalia Restrepo‐Coupé, Matthew Hayek, et al.. (2013). Tropical forest phenology and metabolism: Integrated analysis of tower-mounted camera images and tower derived GPP for interpreting ecosystem scale processes. AGU Fall Meeting Abstracts. 2013.1 indexed citations
Nelson, Bruce, et al.. (2005). Evidence for Shallow-level Assimilation of the Submarine Volcanic Complex Underlying the NW Rift Zone of Tenerife, Canary Islands. AGUFM. 2005.1 indexed citations
15.
Campos, Mário F. M., et al.. (2004). Automatic Geometric and Radiometric Registration of Landsat-TM Images Using Mutual Information.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 343–360.5 indexed citations
16.
Nelson, Bruce, et al.. (2001). Modeling biomass of forests in the southwest Amazon by polar ordination of Landsat TM. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research).4 indexed citations
Eglinton, Timothy I., Bruce Nelson, & Ann P. McNichol. (1996). Radiocarbon ages of sedimentary lipids as tracers of organic carbon input to marine sediments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
19.
Nelson, Bruce, et al.. (1985). Trace metal sources in two Malaysian estuaries. Geol. Soc. Am., Abstr. Programs; (United States). 17.2 indexed citations
20.
Nelson, Bruce & Rustum Roy. (1958). Synthesis of the chlorites and their structural and chemical constitution. American Mineralogist. 43. 707–725.60 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.