J. R. Bates

2.7k total citations
32 papers, 918 citations indexed

About

J. R. Bates is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, J. R. Bates has authored 32 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 7 papers in Astronomy and Astrophysics. Recurrent topics in J. R. Bates's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Planetary Science and Exploration (5 papers). J. R. Bates is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Planetary Science and Exploration (5 papers). J. R. Bates collaborates with scholars based in United States, Ireland and Denmark. J. R. Bates's co-authors include V. A. Alexeev, Peter L. Langen, A. McDonald, R. Wayne Higgins, Shrinivas Moorthi, Fredrick H. M. Semazzi, Saulo R.M. Barros, Andrew B. Ross, HN Phylaktou and Mohamed Pourkashanian and has published in prestigious journals such as Journal of Applied Physics, Journal of Climate and Journal of the Atmospheric Sciences.

In The Last Decade

J. R. Bates

32 papers receiving 827 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. R. Bates United States 15 678 522 141 138 71 32 918
D. M. Burridge United Kingdom 8 833 1.2× 717 1.4× 212 1.5× 123 0.9× 90 1.3× 13 1.0k
Tzvi Gal‐Chen United States 17 1.1k 1.6× 729 1.4× 147 1.0× 252 1.8× 67 0.9× 28 1.3k
Hilding Sundqvist Sweden 12 1.3k 1.9× 1.2k 2.3× 151 1.1× 45 0.3× 28 0.4× 23 1.4k
Ben Shipway United Kingdom 21 1.6k 2.4× 1.6k 3.0× 61 0.4× 100 0.7× 37 0.5× 43 1.8k
Philippe Héreil France 7 600 0.9× 534 1.0× 71 0.5× 52 0.4× 46 0.6× 9 773
Wilford Zdunkowski United States 17 601 0.9× 609 1.2× 34 0.2× 87 0.6× 36 0.5× 51 901
N. Asencio France 7 738 1.1× 675 1.3× 77 0.5× 51 0.4× 47 0.7× 9 903
R. Lee Panetta United States 15 753 1.1× 743 1.4× 238 1.7× 74 0.5× 107 1.5× 30 968
J. S. A. Green United Kingdom 12 749 1.1× 754 1.4× 438 3.1× 135 1.0× 116 1.6× 19 1.1k
О. G. Chkhetiani Russia 13 276 0.4× 283 0.5× 73 0.5× 288 2.1× 179 2.5× 123 683

Countries citing papers authored by J. R. Bates

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Bates. A scholar is included among the top collaborators of J. R. Bates 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. R. Bates. J. R. Bates 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.
Bates, J. R.. (2010). Climate stability and sensitivity in some simple conceptual models. Climate Dynamics. 38(3-4). 455–473. 11 indexed citations
2.
Bates, J. R.. (2007). Some considerations of the concept of climate feedback. Quarterly Journal of the Royal Meteorological Society. 133(624). 545–560. 25 indexed citations
3.
Bates, J. R.. (2001). Some astronomical effects observed by solar cells from Apollo missions on lunar surface. Solar Energy Materials and Solar Cells. 68(1). 23–29. 4 indexed citations
4.
Ruge, J., Yong Li, Steve McCormick, Achi Brandt, & J. R. Bates. (2000). A Nonlinear Multigrid Solver for a Semi-Lagrangian Potential Vorticity-Based Shallow-Water Model on the Sphere. SIAM Journal on Scientific Computing. 21(6). 2381–2395. 5 indexed citations
5.
Li, Yong, J. Ruge, J. R. Bates, & Achi Brandt. (2000). A proposed adiabatic formulation of 3-dimensional global atmospheric models based on potential vorticity. Tellus A Dynamic Meteorology and Oceanography. 52(2). 129–129. 5 indexed citations
6.
Bates, J. R.. (1999). A dynamical stabilizer in the climate system: a mechanism suggested by a simple model. Tellus A Dynamic Meteorology and Oceanography. 51(3). 349–349. 23 indexed citations
7.
Alexeev, V. A. & J. R. Bates. (1999). GCM experiments to test a proposed dynamical stabilizing mechanism in the climate system. Tellus A Dynamic Meteorology and Oceanography. 51(5). 630–630. 6 indexed citations
8.
Bates, J. R. & Yong Li. (1997). Simulation of Stratospheric Vortex Erosion Using Three Different Global Shallow Water Numerical Models. ATMOSPHERE-OCEAN. 35(sup1). 55–74. 5 indexed citations
9.
Bates, J. R., et al.. (1996). A Comparison of Climate Simulations from a Semi-Lagrangian and an Eulerian GCM. Journal of Climate. 9(5). 1126–1149. 19 indexed citations
10.
Li, Yong & J. R. Bates. (1996). A study of the behaviour of semi‐Lagrangian models in the presence of orography. Quarterly Journal of the Royal Meteorological Society. 122(535). 1675–1700. 6 indexed citations
11.
Bates, J. R., et al.. (1995). A global shallow‐water numerical model based on the semi‐lagrangian advection of potential vorticity. Quarterly Journal of the Royal Meteorological Society. 121(528). 1981–2005. 31 indexed citations
12.
Li, Yong, et al.. (1994). Four-Dimensional Variational Data Assimilation Experiments with a Multilevel Semi-Lagrangian Semi-Implicit General Circulation Model. Monthly Weather Review. 122(5). 966–983. 21 indexed citations
13.
Bates, J. R., Shrinivas Moorthi, & R. Wayne Higgins. (1993). A Global Multilevel Atmospheric Model Using a Vector Semi-Lagrangian Finite-Difference Scheme. Part I: Adiabatic Formulation. Monthly Weather Review. 121(1). 244–263. 47 indexed citations
14.
Bates, J. R. & P. H. Fang. (1992). Results of solar cell performance on lunar base derived from Apollo missions. Solar Energy Materials and Solar Cells. 26(1-2). 79–84. 7 indexed citations
15.
Bates, J. R., Fredrick H. M. Semazzi, R. Wayne Higgins, & Saulo R.M. Barros. (1990). Integration of the Shallow Water Equations on the Sphere Using a Vector Semi-Lagrangian Scheme with a Multigrid Solver. Monthly Weather Review. 118(8). 1615–1627. 55 indexed citations
16.
McDonald, A. & J. R. Bates. (1987). Improving the Estimate of the Departure Point Position in a Two-Time Level Semi-Lagrangian and Semi-Implicit Scheme. Monthly Weather Review. 115(3). 737–739. 39 indexed citations
17.
Bates, J. R. & A. McDonald. (1986). A Semi-Lagrangian and Alternating Direction Implicit Method for Integrating a Multilevel Primitive Equation Model. Journal of the Meteorological Society of Japan Ser II. 64A(0). 223–232. 1 indexed citations
18.
Bates, J. R. & A. McDonald. (1982). Multiply-Upstream, Semi-Lagrangian Advective Schemes: Analysis and Application to a Multi-Level Primitive Equation Model. Monthly Weather Review. 110(12). 1831–1842. 77 indexed citations
19.
20.
Bates, J. R., S. C. Freden, & B. J. O'Brien. (1969). The Modified Dust Detector in the Early Apollo Scientific Experiments Package. NASA Special Publication. 214. 199. 7 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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