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 model for microwave emission from vegetation‐covered fields
This map shows the geographic impact of T. J. Jackson'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 T. J. Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Jackson more than expected).
This network shows the impact of papers produced by T. J. Jackson. 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 T. J. Jackson. The network helps show where T. J. Jackson may publish in the future.
Co-authorship network of co-authors of T. J. Jackson
This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Jackson.
A scholar is included among the top collaborators of T. J. Jackson 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 T. J. Jackson. T. J. Jackson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Jackson, T. J., et al.. (2024). Plankton. Princeton University Press eBooks.
Tang, Weiyi, Joan Llort, Morgane M. G. Perron, et al.. (2021). Widespread phytoplankton blooms triggered by 2019–2020 Australian wildfires. Nature. 597(7876). 370–375.170 indexed citations breakdown →
Mélin, Frédéric, Vincent Vantrepotte, Andrei Chuprin, et al.. (2016). Global Trends in Chlorophyll Concentration Observed with the Satellite Ocean Colour Data Record. 740. 57.3 indexed citations
12.
Brotas, Vanda, André Valente, André B. Couto, et al.. (2014). In-situ databases and comparison of ESA Ocean Colour Climate Change Initiative (OC-CCI) products with precursor data, towards an integrated approach for ocean colour validation and climate studies. EGUGA. 13216.3 indexed citations
13.
Du, Jinyang, et al.. (2009). Passive Microwave Observations of Soil Moisture and Dew in Soil Moisture Experiments 2005 (SMEX05). AGUFM. 2009.1 indexed citations
14.
Holmes, Thomas, T. J. Jackson, Rolf H. Reichle, & Jeffrey B. Basara. (2009). Validation of soil temperature dataset against ground measurements in Oklahoma. AGU Fall Meeting Abstracts. 2009.2 indexed citations
15.
Jackson, T. J., Michael H. Cosh, S. Dinardo, et al.. (2008). Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08). AGU Fall Meeting Abstracts. 2008.1 indexed citations
16.
Entekhabi, Dara, et al.. (2007). The Soil Moisture Active/Passive Mission (SMAP). AGU Fall Meeting Abstracts. 2007.9 indexed citations
17.
Bindlish, Rajat, T. J. Jackson, Albin J. Gasiewski, et al.. (2006). PSR based soil moisture estimates in high vegetation and topographic domain. AGUSM. 2007.1 indexed citations
18.
Bolten, John, T. J. Jackson, V. Lakshmi, Michael H. Cosh, & Matthias Drusch. (2005). Long-Term Evaluation of the AMSR-E Soil Moisture Product Over the Walnut Gulch Watershed, AZ. AGU Fall Meeting Abstracts. 2005.1 indexed citations
19.
Jackson, T. J. & Dennis P. Lettenmaier. (2002). Soil Moisture Experiments 2003 (SMEX03). AGU Spring Meeting Abstracts. 2002.2 indexed citations
20.
Jackson, T. J., et al.. (1988). AIRBORNE LASER PROFILE DATA FOR MEASURING EPHEMERAL GULLY EROSION. Photogrammetric Engineering & Remote Sensing. 54(8). 1181–1185.16 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.