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.
African Monsoon Multidisciplinary Analysis: An International Research Project and Field Campaign
2006543 citationsJean‐Luc Redelsperger, Chris D. Thorncroft et al.profile →
Statistical comparison of InSAR tropospheric correction techniques
2015318 citationsDouglas J. Parker et al.profile →
Frequency of extreme Sahelian storms tripled since 1982 in satellite observations
2017305 citationsChristopher M. Taylor, Douglas J. Parker 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 Douglas J. Parker
Since
Specialization
Citations
This map shows the geographic impact of Douglas J. Parker'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 Douglas J. Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas J. Parker more than expected).
Fields of papers citing papers by Douglas J. Parker
This network shows the impact of papers produced by Douglas J. Parker. 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 Douglas J. Parker. The network helps show where Douglas J. Parker may publish in the future.
Co-authorship network of co-authors of Douglas J. Parker
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Parker.
A scholar is included among the top collaborators of Douglas J. Parker 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 Douglas J. Parker. Douglas J. Parker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Turner, Andrew G., Jonathan Evans, John H. Marsham, et al.. (2017). The INCOMPASS project field and modelling campaign: Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea. EGUGA. 17788.1 indexed citations
Richardson, T., et al.. (2015). Understanding the Rapid Precipitation Response to CO2 and Aerosol Forcing on a Regional Scale. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 5731.1 indexed citations
7.
Rosenberg, Phil, Douglas J. Parker, Claire L. Ryder, et al.. (2013). Saharan Airborne Dust Flux Measurements from the Fennec Campaign. EGUGA.1 indexed citations
8.
Garcia‐Carreras, Luis, Douglas J. Parker, John H. Marsham, et al.. (2013). The Saharan atmospheric boundary layer: Turbulence, stratification and mixing. EGU General Assembly Conference Abstracts.1 indexed citations
Marsham, John H., Peter Knippertz, N. Dixon, Douglas J. Parker, & Grenville Lister. (2011). The importance of the representation of deep convection for modeled dust-generating winds over West Africa during summer. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2011.1 indexed citations
Murphy, J. G., D. E. Oram, C. E. Reeves, et al.. (2006). Observations of Isoprene and its Oxidation Products Over West Africa. AGUFM. 2006.1 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.