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 Discovery of the Electromagnetic Counterpart of GW170817: Kilonova AT 2017gfo/DLT17ck
2017218 citationsS. Valenti, David J. Sand et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of J. Haislip'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 J. Haislip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Haislip more than expected).
This network shows the impact of papers produced by J. Haislip. 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 J. Haislip. The network helps show where J. Haislip may publish in the future.
Co-authorship network of co-authors of J. Haislip
This figure shows the co-authorship network connecting the top 25 collaborators of J. Haislip.
A scholar is included among the top collaborators of J. Haislip 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 J. Haislip. J. Haislip is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bhatta, Gopal, S. Zoła, M. Dróżdż, et al.. (2023). Catching profound optical flares in blazars. Monthly Notices of the Royal Astronomical Society. 520(2). 2633–2643.7 indexed citations
Trotter, A., J. Haislip, A. Lacluyzé, et al.. (2013). GRB 130831A: Skynet/PROMPT-SSO detections.. GRB Coordinates Network. 15148. 1.1 indexed citations
9.
Lacluyzé, A., J. Haislip, K. Ivarsen, et al.. (2012). Continued Skynet/PROMPT observations of GRB120711A.. GRB Coordinates Network. 13433. 1.1 indexed citations
10.
Elliot, J. L., A. S. Bosh, A. A. S. Gulbis, et al.. (2010). Pluto's Atmosphere from the July 2010 Stellar Occultation. DPS.2 indexed citations
11.
Pignata, G., J. Maza, M. Hamuy, et al.. (2010). Supernova 2010jr in ESO 362-18. 2545. 1.1 indexed citations
12.
Maza, J., M. Hamuy, R. Antezana, et al.. (2010). Supernova 2010gp in NGC 6240. 2388. 1.1 indexed citations
13.
Haislip, J., D. Reichart, K. Ivarsen, et al.. (2009). GRB 090926A: Skynet/PROMPT observations of day 4 - 6 fading rate.. GRB Coordinates Network. 9984. 1.
14.
Haislip, J., D. Reichart, K. Ivarsen, et al.. (2009). Short-duration GRB 090916: Skynet/PROMPT observations.. GCN. 9921. 1.1 indexed citations
15.
Haislip, J., D. Reichart, K. Ivarsen, et al.. (2009). GRB 090926A: Skynet/PROMPT continued observations.. GRB Coordinates Network. 9953. 1.1 indexed citations
16.
McLin, K., J. Haislip, D. Reichart, et al.. (2008). GRB 081203A: Skynet/GORT detections.. GRB Coordinates Network. 8617. 1.1 indexed citations
17.
Nysewander, M., K. Ivarsen, A. Foster, et al.. (2006). GRB 060418: PROMPT detections.. GRB Coordinates Network. 4971. 1.1 indexed citations
18.
Haislip, J., et al.. (2005). GRB 050904: SOAR/PROMPT observations.. GCN. 3913. 1.
19.
Haislip, J., M. Nysewander, D. Reichart, et al.. (2005). GRB 050904: SOAR YJ and PROMPT Ic observations.. GRB Coordinates Network. 3919. 1.
20.
Haislip, J., et al.. (2005). GRB 050904: possible high-redshift GRB.. GCN. 3914. 1.
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.