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.
THE NANOGRAV NINE-YEAR DATA SET: MASS AND GEOMETRIC MEASUREMENTS OF BINARY MILLISECOND PULSARS
2016420 citationsEmmanuel Fonseca, Timothy T. Pennucci et al.The Astrophysical Journalprofile →
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 David J. Nice'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 David J. Nice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Nice more than expected).
This network shows the impact of papers produced by David J. Nice. 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 David J. Nice. The network helps show where David J. Nice may publish in the future.
Co-authorship network of co-authors of David J. Nice
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Nice.
A scholar is included among the top collaborators of David J. Nice 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 David J. Nice. David J. Nice is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nice, David J., et al.. (2017). The NANOGrav Eleven-Year Data Set: High-precision timing of 48 Millisecond Pulsars. AAS. 229.1 indexed citations
4.
Fonseca, Emmanuel, Timothy T. Pennucci, Justin A. Ellis, et al.. (2016). THE NANOGRAV NINE-YEAR DATA SET: MASS AND GEOMETRIC MEASUREMENTS OF BINARY MILLISECOND PULSARS. The Astrophysical Journal. 832(2). 167–167.420 indexed citations breakdown →
5.
Nice, David J., Paul Demorest, I. H. Stairs, et al.. (2015). Tempo: Pulsar timing data analysis. Astrophysics Source Code Library.10 indexed citations
Cordes, J. M., Zaven Arzoumanian, W. Brisken, et al.. (2009). Tests of Gravity and Neutron Star Properties from Precision Pulsar Timing and Interferometry. 2010. 56.1 indexed citations
9.
Janssen, G. H., B. W. Stappers, M. Krämer, et al.. (2008). Multi-telescope timing of PSR J1518+4904. Astronomy and Astrophysics. 490(2). 753–761.60 indexed citations
10.
Nice, David J., I. H. Stairs, & Laura Kasian. (2007). Arecibo Observations of Relativistic Binary Pulsars J0621+1002 and J0751+1807: Refined Mass Measurements. AAS. 211.1 indexed citations
11.
Nice, David J., et al.. (2007). PSR J1518+4904: A Mildly Relativistic Binary Pulsar System.13 indexed citations
12.
Nice, David J., et al.. (2005). Arecibo Measurements of Pulsar-White Dwarf Binaries: Evidence for Heavy Neutron Stars. 328. 371.1 indexed citations
13.
Demorest, Paul, et al.. (2004). Precision Pulsar Timing and Gravity Waves: Recent Advances in Instrumentation. American Astronomical Society Meeting Abstracts. 205.1 indexed citations
Nice, David J., J. H. Taylor, & Daniel R. Stinebring. (1990). Daily Monitoring of 35 Slow Pulsars. Bulletin of the American Astronomical Society. 22. 1286.1 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.