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.
Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System
19971.0k citationsG. A. Hajj, J. T. Schofield et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by J. T. Schofield
Since
Specialization
Citations
This map shows the geographic impact of J. T. Schofield'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 J. T. Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. T. Schofield more than expected).
This network shows the impact of papers produced by J. T. Schofield. 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 J. T. Schofield. The network helps show where J. T. Schofield may publish in the future.
Co-authorship network of co-authors of J. T. Schofield
This figure shows the co-authorship network connecting the top 25 collaborators of J. T. Schofield.
A scholar is included among the top collaborators of J. T. Schofield 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 J. T. Schofield. J. T. Schofield is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schofield, J. T., et al.. (2018). The Mars Climate Sounder - Six martian years of global atmospheric observations. 42.1 indexed citations
9.
Schofield, J. T., et al.. (2018). Water ice cloud profiles during the aphelion season on Mars retrieved from Mars Climate Sounder far-infrared radiance measurements. 42.1 indexed citations
Schofield, J. T., et al.. (2016). Evidence for CO2 Ice Formation and CO2 Gas Depletion in the South Polar Winter Atmosphere of Mars from Mars Climate Sounder Measurements. LPICo. 1926. 6024.1 indexed citations
Tamppari, L. K., J. A. Rodríguez‐Manfredi, Manuel de la Torre Juárez, et al.. (2015). The Mars Environmental Dynamics Analyzer (MEDA): A Suite of Environmental Sensors for the Mars 2020 Rover. 2015 AGU Fall Meeting. 2015.1 indexed citations
14.
Kass, D. M., et al.. (2014). Interannual Behavior of Large Regional Dust Storms. 1791. 1169.2 indexed citations
15.
Kass, D. M., et al.. (2014). Temperature and Dust Profiles During the Martian Global Dust Storm in 2007 from Mars Climate Sounder Measurements. LPICo. 1791. 1144.1 indexed citations
16.
Schofield, J. T., et al.. (2010). Combined limb/nadir retrievals of atmospheric parameters from Mars Climate Sounder measurements. 38. 7.1 indexed citations
17.
Irwin, P. G. J., N. A. Teanby, S. B. Calcutt, et al.. (2007). Preliminary Martian Atmospheric Water Vapour Column Abundances with Mars Climate Sounder.1 indexed citations
18.
Murphy, J. R., et al.. (2002). Derivation and Analyses of Martian Surface Winds from Mars Pathfinder. 34.1 indexed citations
19.
Hajj, G. A., et al.. (1995). Sensing the Atmosphere From a Low-Earth Orbiter Tracking GPS: Early Results and Lessons From the GPS/MET Experiment. 1167–1174.5 indexed citations
20.
Taylor, F. W., J. T. Schofield, & Susan Bradley. (1981). Pioneer Venus atmospheric observations. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 303(1477). 215–223.4 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.