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 105-Month Swift-BAT All-sky Hard X-Ray Survey
2018216 citationsKyuseok Oh, Michael Koss et al.The Astrophysical Journal Supplement Seriesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of A. Y. Lien'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 A. Y. Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Y. Lien more than expected).
This network shows the impact of papers produced by A. Y. Lien. 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 A. Y. Lien. The network helps show where A. Y. Lien may publish in the future.
Co-authorship network of co-authors of A. Y. Lien
This figure shows the co-authorship network connecting the top 25 collaborators of A. Y. Lien.
A scholar is included among the top collaborators of A. Y. Lien 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 A. Y. Lien. A. Y. Lien is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ukwatta, T. N., S. D. Barthelmy, H. A. Krimm, et al.. (2021). GRB 210119A (Swift J1851.2-6148): Swift-BAT refined analysis. GRB Coordinates Network. 29332. 1.2 indexed citations
8.
Evans, P. A., J. D. Gropp, J. A. Kennea, et al.. (2020). Swift-BAT trigger 960986: Swift detection of a new SGR Swift J1818.0-1607. GRB Coordinates Network. 27373. 1.1 indexed citations
Oh, Kyuseok, Michael Koss, C. B. Markwardt, et al.. (2018). The 105-Month Swift-BAT All-sky Hard X-Ray Survey. The Astrophysical Journal Supplement Series. 235(1). 4–4.216 indexed citations breakdown →
11.
Siegel, M. H., D. N. Burrows, J. D. Gropp, et al.. (2018). Correction: Swift trigger #848890 is GRB 180720B (not GRB 180720A).. GRB Coordinates Network. 22975. 1.1 indexed citations
12.
Krimm, H. A., S. D. Barthelmy, J. R. Cummings, et al.. (2018). Swift/BAT observations of IGR J15791-2342. ATel. 11981. 1.1 indexed citations
13.
Troja, E., L. Piro, T. Sakamoto, S. B. Cenko, & A. Y. Lien. (2017). LIGO/Virgo G298048: Chandra monitoring of the X-ray emission from SSS17a. GRB Coordinates Network. 21787. 1.
14.
Lien, A. Y., S. D. Barthelmy, J. R. Cummings, et al.. (2017). GRB 171212A/Swift J1935.7+2036: Swift-BAT refined analysis.. GCN. 22253. 1.2 indexed citations
Siegel, M. H., S. D. Barthelmy, A. Y. Lien, K. L. Page, & D. M. Palmer. (2016). GRB 160821A: Swift detection of a bright burst.. GRB Coordinates Network. 19830. 1.1 indexed citations
17.
Kennea, J. A., et al.. (2016). Trigger 706396: Swift detection of a short burst from PSR 1119-6127.. GRB Coordinates Network. 19735. 1.1 indexed citations
18.
Krimm, H. A., S. D. Barthelmy, W. H. Baumgartner, et al.. (2014). Swift/BAT detects an outburst from the X-ray nova and black hole candidate GRS 1739-278. ATel. 5986. 1.1 indexed citations
19.
Krimm, H. A., S. D. Barthelmy, W. H. Baumgartner, et al.. (2014). Swift reports the detection of a new galactic transient source Swift J1808.4-1754. ATel. 12151. 1.
20.
Krimm, H., S. D. Barthelmy, W. H. Baumgartner, et al.. (2013). Swift/BAT detects a new outburst of the blazar Mrk 501. The astronomer's telegram. 5224. 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.