R. J. Long

1.4k total citations
41 papers, 917 citations indexed

About

R. J. Long is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, R. J. Long has authored 41 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 18 papers in Instrumentation and 6 papers in Nuclear and High Energy Physics. Recurrent topics in R. J. Long's work include Astronomy and Astrophysical Research (18 papers), Stellar, planetary, and galactic studies (16 papers) and Galaxies: Formation, Evolution, Phenomena (16 papers). R. J. Long is often cited by papers focused on Astronomy and Astrophysical Research (18 papers), Stellar, planetary, and galactic studies (16 papers) and Galaxies: Formation, Evolution, Phenomena (16 papers). R. J. Long collaborates with scholars based in United Kingdom, China and United States. R. J. Long's co-authors include Shude Mao, M. J. S. Lowe, P. Cawley, Hongyu Li, R. G. Conway, K. I. Kellermann, Junqiang Ge, Yougang Wang, Rui Guo and Chao Liu and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

R. J. Long

38 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. J. Long United Kingdom 17 667 318 129 128 107 41 917
Andreas Bauer Norway 11 636 1.0× 151 0.5× 183 1.4× 131 1.0× 152 1.4× 46 1.0k
Peng Jiang China 19 1.1k 1.7× 168 0.5× 19 0.1× 98 0.8× 282 2.6× 158 1.5k
A. Amon United Kingdom 12 394 0.6× 116 0.4× 17 0.1× 69 0.5× 155 1.4× 23 639
M. Kubiak Poland 29 1.9k 2.9× 637 2.0× 38 0.3× 83 0.6× 206 1.9× 137 2.5k
В. В. Орлов Russia 14 502 0.8× 88 0.3× 28 0.2× 39 0.3× 38 0.4× 135 707
David H. Hughes United States 11 482 0.7× 177 0.6× 29 0.2× 57 0.4× 141 1.3× 30 665
Ricarda S. Beckmann France 15 890 1.3× 309 1.0× 8 0.1× 41 0.3× 221 2.1× 33 985
Clécio R. Bom Brazil 11 128 0.2× 28 0.1× 117 0.9× 108 0.8× 52 0.5× 45 417
Ryan Cooke United Kingdom 26 1.5k 2.3× 355 1.1× 4 0.0× 408 3.2× 568 5.3× 54 2.2k
R. A. James United Kingdom 9 477 0.7× 192 0.6× 6 0.0× 15 0.1× 33 0.3× 17 698

Countries citing papers authored by R. J. Long

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. J. Long

This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Long. A scholar is included among the top collaborators of R. J. Long 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 R. J. Long. R. J. Long 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.
Long, R. J.. (2024). Constraining Schwarzschild Models with Orbit Classifications. Research in Astronomy and Astrophysics. 25(3). 35011–35011.
2.
Xu, D., et al.. (2024). Galaxy stellar and total mass estimation using machine learning. Monthly Notices of the Royal Astronomical Society. 528(4). 6354–6369. 6 indexed citations
3.
Yang, Fan, R. J. Long, E. Kerins, et al.. (2024). Transit timing variation of K2-237b: hints toward planet disc migration. Monthly Notices of the Royal Astronomical Society Letters. 535(1). L7–L12. 1 indexed citations
4.
Wang, Yougang, et al.. (2023). Mapping the milky way’s stellar halo with 2D data. Monthly Notices of the Royal Astronomical Society. 525(2). 3075–3085. 1 indexed citations
5.
Wang, Yougang, et al.. (2022). Classifying Globular Clusters and Applying them to Estimate the mass of the Milky Way. Research in Astronomy and Astrophysics. 23(1). 15013–15013. 13 indexed citations
6.
Long, R. J., et al.. (2021). Stellar dynamical modeling - accuracy of 3D density estimation for edge-on axisymmetric galaxies. Research in Astronomy and Astrophysics. 21(6). 152–152. 1 indexed citations
7.
Yang, Fan, R. J. Long, Jifeng Liu, et al.. (2021). An Empirical Bayesian Approach to Limb Darkening in Modeling WASP-121b Transit Light Curves. The Astronomical Journal. 161(6). 294–294. 7 indexed citations
8.
Zhu, Ling, R. J. Long, Shude Mao, et al.. (2020). A discrete chemo-dynamical model of M87’s globular clusters: Kinematics extending to ∼400 kpc. Monthly Notices of the Royal Astronomical Society. 492(2). 2775–2795. 10 indexed citations
9.
Yang, Fan, R. J. Long, Junqiang Ge, et al.. (2020). Galaxy optical variability of Virgo cluster: new tracer for environmental influences on galaxies. Monthly Notices of the Royal Astronomical Society Letters. 496(1). L59–L63. 2 indexed citations
10.
Zheng, Zheng, Cheng Li, Shude Mao, et al.. (2019). SDSS-IV MaNGA: Environmental Dependence of the Mgb/ – Relation for Nearby Galaxies. The Astrophysical Journal. 873(1). 63–63. 13 indexed citations
11.
Li, Hongyu, Shude Mao, Michele Cappellari, et al.. (2018). SDSS-IV MaNGA: global stellar population and gradients for about 2000 early-type and spiral galaxies on the mass–size plane. Monthly Notices of the Royal Astronomical Society. 476(2). 1765–1775. 96 indexed citations
12.
Wang, Qiao, Yougang Wang, Chao Liu, Shude Mao, & R. J. Long. (2017). Torus models of the outer disc of the Milky Way using LAMOST survey data. Monthly Notices of the Royal Astronomical Society. 470(3). 2949–2958. 8 indexed citations
13.
Liu, Chao, Shude Mao, Ying-Yi Song, et al.. (2016). Determining the local dark matter density with LAMOST data. Monthly Notices of the Royal Astronomical Society. 458(4). 3839–3850. 36 indexed citations
14.
Li, Hongyu, Ran Li, Shude Mao, et al.. (2015). Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation. Monthly Notices of the Royal Astronomical Society. 455(4). 3680–3692. 47 indexed citations
15.
Long, R. J., et al.. (2009). Trajectory optimisation for reducing the impact of commercial aircraft operations on environment. 5 indexed citations
16.
Long, R. J., P. Cawley, & M. J. S. Lowe. (2003). Acoustic wave propagation in buried iron water pipes. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 459(2039). 2749–2770. 88 indexed citations
17.
Long, R. J., M. J. S. Lowe, & P. Cawley. (2003). Attenuation characteristics of the fundamental modes that propagate in buried iron water pipes. Ultrasonics. 41(7). 509–519. 81 indexed citations
18.
Long, R. J.. (2001). Monitoring acoustic wave propagation in buried cast iron water pipes. AIP conference proceedings. 557. 1202–1209. 16 indexed citations
19.
Conway, R. G., et al.. (1965). Observations of Radio Sources at 612 and 1 400 Mc/s. Monthly Notices of the Royal Astronomical Society. 131(1). 159–171. 10 indexed citations
20.
Long, R. J. & B. Elsmore. (1960). Radio emission from Jupiter at 408 Mc/s. Observatory. 80. 112–114. 3 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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