T. Naylor

7.1k total citations
163 papers, 3.3k citations indexed

About

T. Naylor is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, T. Naylor has authored 163 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Astronomy and Astrophysics, 26 papers in Instrumentation and 20 papers in Computational Mechanics. Recurrent topics in T. Naylor's work include Astrophysical Phenomena and Observations (82 papers), Stellar, planetary, and galactic studies (70 papers) and Astrophysics and Star Formation Studies (60 papers). T. Naylor is often cited by papers focused on Astrophysical Phenomena and Observations (82 papers), Stellar, planetary, and galactic studies (70 papers) and Astrophysics and Star Formation Studies (60 papers). T. Naylor collaborates with scholars based in United Kingdom, United States and Spain. T. Naylor's co-authors include R. D. Jeffries, Cameron P. M. Bell, P. A. Charles, Eric E. Mamajek, S. P. Littlefair, T. Shahbaz, P. A. Charles, Nathan J. Mayne, J. Casares and J. M. Oliveira and has published in prestigious journals such as Nature, The Astrophysical Journal and Journal of Cleaner Production.

In The Last Decade

T. Naylor

157 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Naylor United Kingdom 31 3.2k 475 355 244 192 163 3.3k
Gordon I. Ogilvie United Kingdom 35 3.6k 1.1× 167 0.4× 340 1.0× 181 0.7× 164 0.9× 111 3.7k
Juhan Frank United States 19 4.4k 1.4× 355 0.7× 789 2.2× 534 2.2× 44 0.2× 64 4.5k
D. R. Alexander United States 20 3.0k 0.9× 950 2.0× 199 0.6× 100 0.4× 199 1.0× 57 3.5k
S. P. Owocki United States 49 6.5k 2.1× 894 1.9× 473 1.3× 185 0.8× 26 0.1× 200 6.7k
C. A. Hummel United States 26 2.0k 0.6× 628 1.3× 220 0.6× 49 0.2× 79 0.4× 123 2.3k
Jerome A. Orosz United States 40 4.3k 1.4× 537 1.1× 1.1k 3.2× 396 1.6× 22 0.1× 115 4.4k
V. Kashyap United States 26 2.5k 0.8× 207 0.4× 391 1.1× 100 0.4× 25 0.1× 137 2.7k
Gaspard Duchêne United States 38 4.9k 1.5× 638 1.3× 294 0.8× 82 0.3× 889 4.6× 135 5.0k
B. J. Shappee United States 28 2.7k 0.8× 595 1.3× 544 1.5× 54 0.2× 41 0.2× 171 2.8k
H. M. Antia India 29 2.4k 0.8× 221 0.5× 365 1.0× 102 0.4× 18 0.1× 132 2.7k

Countries citing papers authored by T. Naylor

Since Specialization
Citations

This map shows the geographic impact of T. Naylor'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 T. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Naylor more than expected).

Fields of papers citing papers by T. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of T. Naylor. A scholar is included among the top collaborators of T. Naylor 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 T. Naylor. T. Naylor 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.
Zsidi, Gabriella, C. J. Nixon, T. Naylor, & J. E. Pringle. (2024). Revisiting the accretion disc spectra of dwarf novae and nova-like variables: implications for the standard disc model. Monthly Notices of the Royal Astronomical Society. 532(1). 592–603.
2.
Naylor, T., R. D. Haywood, N. Meunier, et al.. (2023). The magnetically quiet solar surface dominates HARPS-N solar RVs during low activity. Monthly Notices of the Royal Astronomical Society. 527(3). 7681–7691. 10 indexed citations
3.
Kashyap, V., M. G. Guarcello, N. J. Wright, et al.. (2023). Classification of Chandra X-Ray Sources in Cygnus OB2. The Astrophysical Journal Supplement Series. 269(1). 10–10. 6 indexed citations
4.
Guarcello, M. G., J. J. Drake, N. J. Wright, et al.. (2023). Photoevaporation and Close Encounters: How the Environment around Cygnus OB2 Affects the Evolution of Protoplanetary Disks. The Astrophysical Journal Supplement Series. 269(1). 13–13. 9 indexed citations
5.
Zsidi, Gabriella, C. J. Nixon, T. Naylor, J. E. Pringle, & K. L. Page. (2023). A trio of month-long flares in the nova-like variable V704 And. Astronomy and Astrophysics. 679. L3–L3. 2 indexed citations
6.
Wilson, Tom J. & T. Naylor. (2018). A contaminant-free catalogue of Gaia DR2–WISE Galactic plane matches: including the effects of crowding in the cross-matching of photometric catalogues. Monthly Notices of the Royal Astronomical Society. 481(2). 2148–2167. 6 indexed citations
7.
Mairs, Steve, Graham Bell, Doug Johnstone, et al.. (2018). Sixteen month decline in the 850 micron continuum brightness of the young stellar object HOPS 358 in NGC 2068. ATel. 11583. 1.
8.
Kraus, Stefan, A. Caratti o Garatti, R. García López, et al.. (2016). V346 Normae: first post-outburst observations of an FU Orionis star. Monthly Notices of the Royal Astronomical Society Letters. 462(1). L61–L65. 15 indexed citations
9.
Naylor, T., et al.. (2008). The decline in irradiation from the white dwarf in old novae. Astronomy and Astrophysics. 483(2). 547–556. 4 indexed citations
10.
Snodgrass, C., A. Fitzsimmons, H. Boehnhardt, et al.. (2007). Comet 17P/Holmes. 1118. 1. 1 indexed citations
11.
Saunders, E. S., T. Naylor, & A. Allan. (2006). Optimal placement of a limited number of observations for periodsearches. Astronomy and Astrophysics. 455(2). 757–763. 7 indexed citations
12.
Pratt, G. W., K. Mukai, B. J. M. Hassall, T. Naylor, & Janet H. Wood. (2004). AnXMM-Newtonobservation of the nova-like variable UX UMa: spatially and spectrally resolved two-component X-ray emission. Monthly Notices of the Royal Astronomical Society. 348(3). L49–L53. 14 indexed citations
13.
Charles, P. A., et al.. (2004). A new mass-ratio for the X-ray binary X2127+119 in M 15?. Astronomy and Astrophysics. 428(3). 935–941. 3 indexed citations
14.
Retter, A., et al.. (2002). Nova Ophiuchi 2002. IAUC. 7809. 1.
15.
Evans, A., et al.. (2002). Broadband polarimetry of novae in outburst. Astronomy and Astrophysics. 384(2). 504–512. 14 indexed citations
16.
Naylor, T., et al.. (2002). Understanding the LMXB X2127+119 in M 15. Astronomy and Astrophysics. 382(1). 130–140. 10 indexed citations
17.
Oliveira, J. M., et al.. (2002). No disks around low-mass stars and brown dwarfs in the young σ Orionis cluster?. Astronomy and Astrophysics. 382(3). L22–L25. 46 indexed citations
18.
Jeffries, R. D. & T. Naylor. (2001). The Lithium Depletion Boundary as a Clock and Thermometer. CERN Bulletin. 243. 633. 1 indexed citations
19.
Bandyopadhyay, R. M., T. Shahbaz, P. A. Charles, M. H. van Kerkwijk, & T. Naylor. (1998). Infrared Spectroscopy of Low-Mass X-ray Binaries. CERN Bulletin. 137. 487. 1 indexed citations
20.
Mukai, K., K. O. Mason, Steve B. Howell, et al.. (1990). Spectroscopy of faint, high latitude cataclysmic variable candidates. Monthly Notices of the Royal Astronomical Society. 245(3). 385–385. 21 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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