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.
Precise point positioning for the efficient and robust analysis of GPS data from large networks
19972.9k citationsJ. Zumberge, M. B. Heflin et al.profile →
GipsyX/RTGx, a new tool set for space geodetic operations and research
2020246 citationsWilly Bertiger, Y. Bar-Sever et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of M. B. Heflin'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 M. B. Heflin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. B. Heflin more than expected).
This network shows the impact of papers produced by M. B. Heflin. 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 M. B. Heflin. The network helps show where M. B. Heflin may publish in the future.
Co-authorship network of co-authors of M. B. Heflin
This figure shows the co-authorship network connecting the top 25 collaborators of M. B. Heflin.
A scholar is included among the top collaborators of M. B. Heflin 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 M. B. Heflin. M. B. Heflin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ries, Paul, et al.. (2017). Results from the JPL IGS Analysis Center IGS14 Reprocessing Campaign. AGU Fall Meeting Abstracts. 2017.
7.
Gross, R. S., et al.. (2016). JTRF2014, the 2014 JPL Realization of the ITRS. EGU General Assembly Conference Abstracts.1 indexed citations
8.
Heflin, M. B., et al.. (2014). Global Surface Mass Variations From Multiple Geodetic Techniques - Comparison and Assessment. AGU Fall Meeting Abstracts. 2014.2 indexed citations
9.
Wahr, John, et al.. (2013). Stacking global GPS verticals and horizontals to solve for the fortnightly body tide. AGUFM. 2013.1 indexed citations
10.
Heflin, M. B., A. W. Moore, & S. E. Owen. (2011). Impact of Ambiguity Resolution and Orbit Reprocessing on the Global Reference Frame. AGU Fall Meeting Abstracts. 2011.1 indexed citations
Heflin, M. B., et al.. (2010). Rotational Alignment Altered by Source Position Correlations. NASA Technical Reports Server (NASA).2 indexed citations
14.
Argus, Donald F., M. B. Heflin, G. Peltzer, F. Crampé, & F. Webb. (2005). Interseismic strain accumulation and anthropogenic motion in metropolitan Los Angeles. AGU Spring Meeting Abstracts. 2005.11 indexed citations
King, N. E., M. B. Heflin, T. A. Herring, et al.. (2002). Toward an ITRF2000 Combined Solution for the Southern California Integrated GPS Network. AGU Fall Meeting Abstracts. 2002.1 indexed citations
17.
Muellerschoen, R., et al.. (2001). Orbit Determination with NASA's High Accuracy Real-Time Global Differential GPS System. Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2001). 2294–2303.16 indexed citations
Heflin, M. B. & M. M. Watkins. (1999). Geocenter Estimates from the Global Positioning System. 25. 55–70.5 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.