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.
Nearby supernova rates from the Lick Observatory Supernova Search - II. The observed luminosity functions and fractions of supernovae in a complete sample
2011390 citationsR. Chornock, A. V. Filippenko et al.Monthly Notices of the Royal Astronomical Societyprofile →
Optical emission from a kilonova following a gravitational-wave-detected neutron-star merger
2017314 citationsI. Arcavi, G. Hosseinzadeh et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of D. Poznanski'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. Poznanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Poznanski more than expected).
This network shows the impact of papers produced by D. Poznanski. 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. Poznanski. The network helps show where D. Poznanski may publish in the future.
Co-authorship network of co-authors of D. Poznanski
This figure shows the co-authorship network connecting the top 25 collaborators of D. Poznanski.
A scholar is included among the top collaborators of D. Poznanski 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. Poznanski. D. Poznanski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Arcavi, I., D. A. Howell, C. McCully, et al.. (2017). LIGO/Virgo G298048: Rapid Evolution of Possible Counterpart. GRB Coordinates Network. 21581. 1.1 indexed citations
4.
Arcavi, I., D. A. Howell, C. McCully, et al.. (2017). LIGO/Virgo G298048: Las Cumbres Observatory Detection of The Possible Optical Counterpart in NGC 4993. GRB Coordinates Network. 21538. 1.1 indexed citations
Lidman, C., J. Stuart B. Wyithe, J. R. Mould, et al.. (2012). Near-infrared observations of type Ia supernovae: The best known
\n standard candle for cosmology. CaltechAUTHORS (California Institute of Technology).20 indexed citations
Arcavi, I., A. Gal‐Yam, David Polishook, et al.. (2011). PTF11eon/SN2011dh is Possibly a Type IIb Event. The astronomer's telegram. 3413. 1.1 indexed citations
15.
Quimby, R., M. M. Kasliwal, S. B. Cenko, et al.. (2009). Supernovae 2009cb, 2009cg-2009cx; Psn K0903-1, K0903-2, K0903-1; Variable Stars. 1754. 1.
16.
Chornock, R., R. J. Foley, A. V. Filippenko, et al.. (2008). XRB 080109/SN 2008D: early decline in brightness and change in.. GRB Coordinates Network. 7176. 1.
17.
Perley, D. A., J. S. Bloom, M. Modjaz, D. Poznanski, & C. C. Thoene. (2007). GRB 070429B: probable host galaxy and redshift.. GCN. 7140. 1.3 indexed citations
18.
Prochaska, J. X., et al.. (2007). GRB 071010B: Keck/LRIS spectroscopy.. GRB Coordinates Network. 6864. 1.3 indexed citations
Poznanski, D., A. Gal‐Yam, Keren Sharon, et al.. (2003). Supernovae 2003B, 2003Q, 2003R, 2003S, and 2003T. IAUC. 8058. 1.1 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.