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.
Identification of strontium in the merger of two neutron stars
2019281 citationsD. Watson, D. Malesani 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 D. Watson'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. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Watson more than expected).
This network shows the impact of papers produced by D. Watson. 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. Watson. The network helps show where D. Watson may publish in the future.
Co-authorship network of co-authors of D. Watson
This figure shows the co-authorship network connecting the top 25 collaborators of D. Watson.
A scholar is included among the top collaborators of D. Watson 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. Watson. D. Watson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mazomenos, Evangelos B., et al.. (2018). Gesture Classification in Robotic Surgery using Recurrent Neural Networks with Kinematic Information. UCL Discovery (University College London).1 indexed citations
9.
Malesani, D., D. Xu, G. Pugliese, et al.. (2015). GRB 150423A: VLT/X-shooter spectroscopy and tentative redshift.. GRB Coordinates Network. 17755. 1.1 indexed citations
10.
Xu, D., D. Malesani, S. Schulze, et al.. (2013). GRB 130606A: NOT afterglow detection.. GCN. 14783. 1.1 indexed citations
11.
Tanvir, N. R., A. J. Levan, Rebekah Hounsell, et al.. (2013). GRB 130925A: HST imaging.. GRB Coordinates Network. 15489. 1.1 indexed citations
Malesani, D., S. Schulze, J. P. U. Fynbo, et al.. (2012). GRB 120422A: VLT/X-shooter spectroscopic evidence for a SN.. GRB Coordinates Network. 13277. 1.1 indexed citations
Thoene, C. C., P. Goldoni, S. Covino, et al.. (2009). GRB 091127: redshift confirmation with x-shooter.. HAL (Le Centre pour la Communication Scientifique Directe). 10233. 1.1 indexed citations
16.
Malesani, D., J. Hjorth, P. Jakobsson, et al.. (2008). Transient in NGC 2770: spectroscopic evidence for a SN.. GRB Coordinates Network. 7169. 1.
17.
Fynbo, J. P. U., P. Jakobsson, B. L. Jensen, et al.. (2006). GRB 060927: spectroscopic redshift z=5.6.. GRB Coordinates Network. 5651. 1.1 indexed citations
18.
Jakobsson, P., A. J. Levan, Robert Chapman, et al.. (2006). GRB 060912A: redshift of probable host galaxy.. GRB Coordinates Network. 5617. 1.4 indexed citations
19.
Fynbo, J. P. U., J. Sollerman, B. L. Jensen, et al.. (2005). GRB050802: tentative absorption redshift.. GCN. 3749. 1.2 indexed citations
20.
Fynbo, J. P. U., B. L. Jensen, J. Sollerman, et al.. (2005). GRB 050824: spectroscopic redshift from the VLT.. Research at the University of Copenhagen (University of Copenhagen). 3874. 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.