Countries citing papers authored by D. S. MacMillan
Since
Specialization
Citations
This map shows the geographic impact of D. S. MacMillan'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 D. S. MacMillan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. S. MacMillan more than expected).
This network shows the impact of papers produced by D. S. MacMillan. 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 D. S. MacMillan. The network helps show where D. S. MacMillan may publish in the future.
Co-authorship network of co-authors of D. S. MacMillan
This figure shows the co-authorship network connecting the top 25 collaborators of D. S. MacMillan.
A scholar is included among the top collaborators of D. S. MacMillan 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 D. S. MacMillan. D. S. MacMillan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pavlis, E. C., et al.. (2016). GGOS2020 Space Geodesy Network: Variations in System Deployment Scenarios. AGUFM. 2016.1 indexed citations
5.
Gipson, John, et al.. (2016). Transition to the vgosDb Format. Information Visualization. 222–224.
6.
Behrend, Dirk, et al.. (2016). From CONT to VGOS: the Evolution of the CONT Campaigns. Information Visualization. 127–131.1 indexed citations
7.
Gipson, John, et al.. (2015). Implementation of the vgosDb format. 150–152.1 indexed citations
8.
MacMillan, D. S.. (2014). Determination of Galactic Aberration from VLBI Measurements and Its Effect on VLBI Reference Frames and Earth Orientation Parameters.. AGU Fall Meeting Abstracts. 2014.1 indexed citations
9.
Behrend, Dirk, B. E. Corey, David Hall, et al.. (2012). Organization, Correlation, and First Results of CONT11. Information Visualization. 186–190.2 indexed citations
10.
Gipson, John, et al.. (2012). The First Release of νSolve. Information Visualization. 222–226.1 indexed citations
11.
Niell, A. E., Dirk Behrend, B. E. Corey, et al.. (2009). Design Aspects of the VLBI2010 System. Chalmers Publication Library (Chalmers University of Technology).51 indexed citations
12.
Niell, A. E., Dirk Behrend, B. E. Corey, et al.. (2009). Progress Report of the IVS VLBI2010 Committee. Chalmers Publication Library (Chalmers University of Technology).6 indexed citations
13.
Boehm, J., David A. Salstein, D. S. MacMillan, et al.. (2009). Hourly Earth rotation parameters and atmospheric angular momentum functions for CONT08. EGU General Assembly Conference Abstracts. 9761.2 indexed citations
14.
MacMillan, D. S. & John Gipson. (2009). Recent Modeling Improvements in SOLVE Analysis. 19(2). 54–57.1 indexed citations
15.
Pavlis, E. C., et al.. (2008). The Future Global Geodetic Networks to Support GGOS. AGUFM. 2008.1 indexed citations
16.
MacMillan, D. S., J. Boehm, John Gipson, et al.. (2008). Simulation Analysis of the Geodetic Performance of the Future IVS VLBI2010 System. AGU Fall Meeting Abstracts. 2008.
17.
MacMillan, D. S. & David A. Salstein. (2006). High Frequency Variations in Earth Rotation from VLBI Continuous Campaigns. AGUFM. 2006.1 indexed citations
18.
MacMillan, D. S.. (2005). Quasar Apparent Proper Motion Observed by Geodetic VLBI Networks. ASPC. 340. 477.1 indexed citations
19.
MacMillan, D. S.. (2004). Rate Difference Between VLBI and GPS Reference Frame Scales. AGUFM. 2004.5 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.