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.
REVEL: A model for Recent plate velocities from space geodesy
Countries citing papers authored by Timothy H. Dixon
Since
Specialization
Citations
This map shows the geographic impact of Timothy H. Dixon'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 Timothy H. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy H. Dixon more than expected).
Fields of papers citing papers by Timothy H. Dixon
This network shows the impact of papers produced by Timothy H. Dixon. 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 Timothy H. Dixon. The network helps show where Timothy H. Dixon may publish in the future.
Co-authorship network of co-authors of Timothy H. Dixon
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy H. Dixon.
A scholar is included among the top collaborators of Timothy H. Dixon 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 Timothy H. Dixon. Timothy H. Dixon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karegar, Makan A., Timothy H. Dixon, Simon E. Engelhart, Jason P. Pope, & Jürgen Kusche. (2018). Coastal Subsidence: Harbinger of Future Flooding? Insights from Geodesy and Geology. EGU General Assembly Conference Abstracts. 1247.1 indexed citations
Roman, Diana C., P. C. La Femina, Charles B. Connor, et al.. (2016). Multidisciplinary Studies of the 2015-2016 Eruption of Momotombo Volcano, Nicaragua. 2016.1 indexed citations
14.
Rodgers, Mel, et al.. (2015). Terrestrial Radar Interferometry and Structure-from-Motion Data from Nevado del Ruiz, Colombia for Improved Hazard Assessment and Volcano Monitoring. Digital Commons - University of South Florida (University of South Florida). 2015.2 indexed citations
15.
Axon, Colin J., et al.. (2012). Building Communities: Reducing Energy Use in Tenanted Commercial Property. SSRN Electronic Journal.1 indexed citations
Newman, A. V., et al.. (2004). Rapid Transient Deformation From a Shallow Magmatic Source at the Socorro Magma Body, NM, USA?. AGU Fall Meeting Abstracts. 2004.2 indexed citations
18.
Cabral‐Cano, Enrique, Timothy H. Dixon, & Osvaldo Sánchez. (2002). InSAR and GPS Analysis of Ground Subsidence in Mexico City. AGUFM. 2002.2 indexed citations
19.
Dixon, Timothy H., et al.. (1984). A Range-Gated Laser for Ocean Floor Imaging. Marine Technology Society Journal. 17. 5–12.10 indexed citations
20.
Dixon, Timothy H.. (1981). Analysis of Jamaican lineaments visible in Seasat-SAR imagery.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.