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 ·
hero ref
Countries citing papers authored by Michael T. Lam
Since
Specialization
Citations
This map shows the geographic impact of Michael T. Lam'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 Michael T. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lam more than expected).
This network shows the impact of papers produced by Michael T. Lam. 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 Michael T. Lam. The network helps show where Michael T. Lam may publish in the future.
Co-authorship network of co-authors of Michael T. Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Lam.
A scholar is included among the top collaborators of Michael T. Lam 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 Michael T. Lam. Michael T. Lam is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hazboun, Jeffrey S., et al.. (2020). The NANOGrav 11 yr Data Set: Evolution of Gravitational-wave Background Statistics. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).16 indexed citations
11.
Stinebring, Daniel R., Shami Chatterjee, Susan E. Clark, et al.. (2019). Twelve Decades: Probing the Interstellar Medium from kiloparsec to sub-AU scales. Bulletin of the American Astronomical Society. 51(3). 492.2 indexed citations
12.
Ransom, S. M., Adam Brazier, Shami Chatterjee, et al.. (2019). The NANOGrav Program for Gravitational Waves and Fundamental Physics. Bulletin of the American Astronomical Society. 51(7). 195.7 indexed citations
13.
Lynch, Ryan S., Paul R. Brook, Shami Chatterjee, et al.. (2019). The Virtues of Time and Cadence for Pulsars and Fast Transients. MPG.PuRe (Max Planck Society). 51(3). 461.1 indexed citations
14.
Pol, Nihan S., et al.. (2019). NihanPol/DM_IGM v1.0.0. Zenodo (CERN European Organization for Nuclear Research).31 indexed citations
15.
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 →
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.