J. Yates

3.2k total citations
55 papers, 917 citations indexed

About

J. Yates is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Spectroscopy. According to data from OpenAlex, J. Yates has authored 55 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Astronomy and Astrophysics, 17 papers in Atmospheric Science and 14 papers in Spectroscopy. Recurrent topics in J. Yates's work include Astrophysics and Star Formation Studies (43 papers), Stellar, planetary, and galactic studies (26 papers) and Atmospheric Ozone and Climate (15 papers). J. Yates is often cited by papers focused on Astrophysics and Star Formation Studies (43 papers), Stellar, planetary, and galactic studies (26 papers) and Atmospheric Ozone and Climate (15 papers). J. Yates collaborates with scholars based in United Kingdom, United States and Belgium. J. Yates's co-authors include S. Viti, M. J. Barlow, A. M. S. Richards, T. M. Gledhill, T. A. Bell, Thomas G. Bisbas, J. M. C. Rawlings, I. Bains, L. Decin and B. M. Swinyard and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

J. Yates

52 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Yates United Kingdom 18 824 236 205 75 57 55 917
T. A. Kuchar United States 16 1.1k 1.3× 170 0.7× 81 0.4× 65 0.9× 21 0.4× 35 1.1k
Daniel Seifried Germany 24 1.6k 2.0× 273 1.2× 275 1.3× 75 1.0× 164 2.9× 65 1.7k
M. S. N. Kumar Portugal 24 1.4k 1.7× 419 1.8× 178 0.9× 102 1.4× 64 1.1× 59 1.4k
José F. Gómez Spain 24 1.7k 2.1× 561 2.4× 192 0.9× 156 2.1× 62 1.1× 113 1.8k
E. Schisano Italy 20 1.3k 1.6× 315 1.3× 187 0.9× 81 1.1× 49 0.9× 63 1.3k
James Wurster United Kingdom 22 885 1.1× 144 0.6× 115 0.6× 65 0.9× 210 3.7× 38 1.1k
K. I. Uchida United States 20 1.8k 2.1× 493 2.1× 97 0.5× 132 1.8× 91 1.6× 35 1.8k
J. T. Lauroesch United States 25 1.5k 1.8× 103 0.4× 157 0.8× 133 1.8× 117 2.1× 50 1.5k
J.-P. Bernard France 24 1.4k 1.6× 119 0.5× 125 0.6× 72 1.0× 43 0.8× 59 1.4k
Kohji Tomisaka Japan 26 1.9k 2.3× 396 1.7× 189 0.9× 84 1.1× 145 2.5× 72 1.9k

Countries citing papers authored by J. Yates

Since Specialization
Citations

This map shows the geographic impact of J. Yates'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. Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Yates more than expected).

Fields of papers citing papers by J. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Yates. 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. Yates. The network helps show where J. Yates may publish in the future.

Co-authorship network of co-authors of J. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of J. Yates. A scholar is included among the top collaborators of J. Yates 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. Yates. J. Yates 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.
Ceuster, Frederik De, et al.. (2024). Magritte, a modern software library for spectral line radiative transfer. Astronomy and Computing. 49. 100889–100889. 1 indexed citations
2.
Richards, A. M. S., Yoshiharu Asaki, A. Baudry, et al.. (2022). Water masers high resolution measurements of the diverse conditions in evolved star winds. Proceedings of the International Astronomical Union. 18(S380). 389–391.
3.
Hardy, Flavien, Adrian Hopper, M. J. M. Marchã, et al.. (2022). Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data. SHILAP Revista de lepidopterología. 11(2). e41520–e41520. 4 indexed citations
4.
Hardy, Flavien, Adrian Hopper, M. J. M. Marchã, et al.. (2022). Data quality and autism: Issues and potential impacts. International Journal of Medical Informatics. 170. 104938–104938. 9 indexed citations
5.
Hardy, Flavien, Adrian Hopper, M. J. M. Marchã, et al.. (2022). Data consistency in the English Hospital Episodes Statistics database. BMJ Health & Care Informatics. 29(1). e100633–e100633. 15 indexed citations
6.
Ceuster, Frederik De, et al.. (2022). Radiative transfer as a Bayesian linear regression problem. Monthly Notices of the Royal Astronomical Society. 518(4). 5536–5551. 2 indexed citations
7.
Gobrecht, D., et al.. (2019). Developing a self-consistent AGB wind model – II. Non-classical, non-equilibrium polymer nucleation in a chemical mixture. Monthly Notices of the Royal Astronomical Society. 489(4). 4890–4911. 22 indexed citations
8.
Viti, S., et al.. (2019). Incorporating astrochemistry into molecular line modelling via emulation. Springer Link (Chiba Institute of Technology). 16 indexed citations
9.
Holdship, Jonathan, et al.. (2018). Bayesian Inference of the Rates of Surface Reactions in Icy Mantles. UCL Discovery (University College London). 9 indexed citations
10.
Kelly, George Armstrong, S. Viti, E. Bayet, R. Aladro, & J. Yates. (2015). Mapping CS in starburst galaxies: Disentangling and characterising dense gas. Springer Link (Chiba Institute of Technology). 6 indexed citations
11.
Matsuura, M., B. A. Sargent, B. Swinyard, et al.. (2015). Detection of rotational CO emission from the red-supergiants in the Large Magellanic Cloud. Proceedings of the International Astronomical Union. 11(A29B). 459–459.
12.
Justtanont, K., M. J. Barlow, J. A. D. L. Blommaert, et al.. (2015). Herschelobservations of extreme OH/IR stars. Astronomy and Astrophysics. 578. A115–A115. 15 indexed citations
13.
Justtanont, K., D. Teyssier, M. J. Barlow, et al.. (2013). OH/IR stars and their superwinds as observed by theHerschelSpace Observatory. Astronomy and Astrophysics. 556. A101–A101. 24 indexed citations
14.
Groenewegen, M. A. T., M. J. Barlow, J. A. D. L. Blommaert, et al.. (2012). An independent distance estimate to CW Leonis. Astronomy and Astrophysics. 543. L8–L8. 42 indexed citations
15.
Richards, A. M. S., S. Etoka, M. D. Gray, et al.. (2012). Evolved star water maser cloud size determined by star size. Astronomy and Astrophysics. 546. A16–A16. 37 indexed citations
16.
Viti, S., Izaskun Jiménez-Serra, J. Yates, et al.. (2011). L1157-B1: WATER AND AMMONIA AS DIAGNOSTICS OF SHOCK TEMPERATURE. The Astrophysical Journal Letters. 740(1). L3–L3. 43 indexed citations
17.
Richards, A. M. S., Moshe Elitzur, & J. Yates. (2010). Observational evidence for the shrinking of bright maser spots. Astronomy and Astrophysics. 525. A56–A56. 21 indexed citations
18.
Barlow, M. J., B. M. Swinyard, J. R. Goicoechea, et al.. (2006). A far-infrared molecular and atomic line survey of the Orion KL region. UCL Discovery (University College London). 19 indexed citations
19.
Zadelhoff, Gerd‐Jan van, C. P. Dullemond, F. van der Tak, et al.. (2002). Numerical methods for non-LTE line radiative transfer: Performance and convergence characteristics. Astronomy and Astrophysics. 395(1). 373–384. 92 indexed citations
20.
Humphreys, E. M. L., J. Yates, M. D. Gray, D. Field, & G. H. Bowen. (2001). Qualitative reproduction of stellar $\mathsf{H_{2}}$O maser morphology. Astronomy and Astrophysics. 379(2). 501–514. 11 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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