D. Watson

19.6k total citations · 1 hit paper
139 papers, 3.8k citations indexed

About

D. Watson is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, D. Watson has authored 139 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Astronomy and Astrophysics, 24 papers in Nuclear and High Energy Physics and 22 papers in Instrumentation. Recurrent topics in D. Watson's work include Gamma-ray bursts and supernovae (87 papers), Stellar, planetary, and galactic studies (49 papers) and Astrophysical Phenomena and Observations (41 papers). D. Watson is often cited by papers focused on Gamma-ray bursts and supernovae (87 papers), Stellar, planetary, and galactic studies (49 papers) and Astrophysical Phenomena and Observations (41 papers). D. Watson collaborates with scholars based in Denmark, United Kingdom and United States. D. Watson's co-authors include J. Hjorth, M. J. Michałowski, J. P. U. Fynbo, P. Jakobsson, D. Malesani, Tayyaba Zafar, Johan Richard, K. E. Heintz, Michelle Rowe and Jeffrey Braithwaite and has published in prestigious journals such as Nature, Journal of Clinical Oncology and The Astrophysical Journal.

In The Last Decade

D. Watson

131 papers receiving 3.6k citations

Hit Papers

Identification of strontium in the merger of two neutron ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Watson Denmark 35 3.3k 692 595 93 89 139 3.8k
M. H. Siegel United States 25 2.7k 0.8× 231 0.3× 1.3k 2.2× 156 1.7× 18 0.2× 152 3.1k
D. Katz France 23 2.1k 0.6× 95 0.1× 970 1.6× 47 0.5× 27 0.3× 61 2.4k
T. J. Jones United States 26 2.3k 0.7× 222 0.3× 350 0.6× 151 1.6× 117 1.3× 171 2.7k
J. D. Smith United States 36 4.2k 1.3× 403 0.6× 914 1.5× 207 2.2× 3 0.0× 126 4.6k
Sungeun Kim United States 25 1.4k 0.4× 247 0.4× 224 0.4× 134 1.4× 21 0.2× 89 2.3k
Richard H. Miller United States 20 419 0.1× 73 0.1× 118 0.2× 59 0.6× 31 0.3× 132 1.7k
W. J. Forrest United States 41 3.7k 1.1× 160 0.2× 426 0.7× 355 3.8× 11 0.1× 168 5.0k
J. F. C. Wardle United States 26 2.1k 0.6× 1.8k 2.6× 54 0.1× 111 1.2× 68 0.8× 87 2.4k
J. Chiang United States 24 1.8k 0.5× 944 1.4× 92 0.2× 43 0.5× 8 0.1× 53 2.1k
Seb Oliver United Kingdom 37 3.7k 1.1× 805 1.2× 1.6k 2.7× 89 1.0× 4 0.0× 106 4.3k

Countries citing papers authored by D. Watson

Since Specialization
Citations

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).

Fields of papers citing papers by D. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
Heintz, K. E., Joris Witstok, Stefano Carniani, et al.. (2025). Dissecting the Massive Pristine, Neutral Gas Reservoir of a Remarkably Bright Galaxy at z = 14.179. The Astrophysical Journal Letters. 987(1). L2–L2. 1 indexed citations
2.
Sneppen, Albert, et al.. (2024). Emergence hour-by-hour of r-process features in the kilonova AT2017gfo. Astronomy and Astrophysics. 690. A398–A398. 6 indexed citations
3.
Killi, Meghana, D. Watson, Gabriel Brammer, et al.. (2024). Deciphering the JWST spectrum of a ‘little red dot’ at z ∼ 4.53: An obscured AGN and its star-forming host. Astronomy and Astrophysics. 691. A52–A52. 31 indexed citations
4.
Heintz, K. E., Gabriel Brammer, Clara Giménez-Arteaga, et al.. (2023). Dilution of chemical enrichment in galaxies 600 Myr after the Big Bang. Nature Astronomy. 7(12). 1517–1524. 28 indexed citations
5.
De, A., C. Ledoux, Jens-Kristian Krogager, et al.. (2023). Dust depletion of metals from local to distant galaxies. Astronomy and Astrophysics. 681. A64–A64. 12 indexed citations
6.
Heintz, K. E., T. R. Greve, Desika Narayanan, et al.. (2022). Investigating the [C ii]-to-H i Conversion Factor and the H i Gas Budget of Galaxies at z ≈ 6 with Hydrodynamic Simulations. The Astrophysical Journal Letters. 939(1). L1–L1. 13 indexed citations
7.
Heintz, K. E., D. Watson, Pascal A. Oesch, Desika Narayanan, & S. C. Madden. (2021). Measuring the HI content of individual galaxies out to the epoch of reionization with [CII]. arXiv (Cornell University). 32 indexed citations
8.
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
12.
Zafar, Tayyaba & D. Watson. (2013). The metals-to-dust ratio to very low metallicities using GRB and QSO absorbers; extremely rapid dust formation. Springer Link (Chiba Institute of Technology). 61 indexed citations
13.
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
14.
Watson, D.. (2011). The Galactic dust-to-metals ratio and metallicity using gamma-ray bursts. Springer Link (Chiba Institute of Technology). 71 indexed citations
15.
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.

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