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.
No νs is Good News
202453 citationsNathaniel Craig, Daniel Green et al.Journal of High Energy Physicsprofile →
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 Daniel Green'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 Daniel Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Green more than expected).
This network shows the impact of papers produced by Daniel Green. 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 Daniel Green. The network helps show where Daniel Green may publish in the future.
Co-authorship network of co-authors of Daniel Green
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Green.
A scholar is included among the top collaborators of Daniel Green 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 Daniel Green. Daniel Green is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Craig, Nathaniel, Daniel Green, Joel Meyers, & Surjeet Rajendran. (2024). No νs is Good News. Journal of High Energy Physics. 2024(9).53 indexed citations breakdown →
5.
Green, Daniel. (2022). Anomalous dimensions and non-gaussianity. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).12 indexed citations
6.
Green, Daniel & Rafael A. Porto. (2020). Signals of a Quantum Universe. Physical Review Letters. 124(25). 251302–251302.53 indexed citations
Baumann, Daniel, Florian Beutler, Raphael Flauger, et al.. (2018). First Measurement of Neutrinos in the BAO Spectrum. arXiv (Cornell University).6 indexed citations
9.
Baumann, Daniel, Daniel Green, & Matías Zaldarriaga. (2017). Phases of New Physics in the BAO Spectrum : Phases of New Physics in the BAO Spectrum. Journal of Cosmology and Astroparticle Physics. 1711. 7.1 indexed citations
10.
Green, Daniel, Joel Meyers, & Alexander van Engelen. (2017). CMB delensing beyond theBmodes. Journal of Cosmology and Astroparticle Physics. 2017(12). 5–5.53 indexed citations
11.
Baumann, Daniel, Simone Ferraro, Daniel Green, & Kendrick M. Smith. (2013). Stochastic bias from non-Gaussian initial conditions. Journal of Cosmology and Astroparticle Physics. 2013(5). 1–1.42 indexed citations
Green, Daniel, Bart Horn, Leonardo Senatore, & Eva Silverstein. (2009). Trapped inflation. Physical review. D. Particles, fields, gravitation, and cosmology. 80(6).82 indexed citations
16.
Green, Daniel & W. G. Unruh. (2004). Difficulties with Closed Isotropic Loop Quantum Cosmology. arXiv (Cornell University).4 indexed citations
17.
Green, Daniel. (2004). High P t Physics at Hadron Colliders. CERN Document Server (European Organization for Nuclear Research). 22. 1–257.4 indexed citations
Freeman, James, Daniel Green, & A. Ronzhin. (1998). Test of HPD. AIP conference proceedings. 497–508.1 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.