L. Rikus

2.0k total citations
21 papers, 388 citations indexed

About

L. Rikus is a scholar working on Atmospheric Science, Global and Planetary Change and Nuclear and High Energy Physics. According to data from OpenAlex, L. Rikus has authored 21 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 9 papers in Nuclear and High Energy Physics. Recurrent topics in L. Rikus's work include Nuclear physics research studies (8 papers), Climate variability and models (6 papers) and Meteorological Phenomena and Simulations (5 papers). L. Rikus is often cited by papers focused on Nuclear physics research studies (8 papers), Climate variability and models (6 papers) and Meteorological Phenomena and Simulations (5 papers). L. Rikus collaborates with scholars based in Australia, Germany and China. L. Rikus's co-authors include H. V. von Geramb, Amand Faessler, Alain Protat, Zhian Sun, R. Sartor, S.B. Khadkikar, Melita Keywood, Eric Schulz, Yi Xiao and K. Amos and has published in prestigious journals such as Monthly Weather Review, Computer Physics Communications and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

L. Rikus

21 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Rikus Australia	10	241	116	110	109	40	21	388
F. Nichitiu Russia	14	189 0.8×	303 2.6×	289 2.6×	150 1.4×	38 0.9×	48	585
D. D. Leach United States	12	275 1.1×	54 0.5×	44 0.4×	132 1.2×	11 0.3×	18	387
E. Finckh Germany	14	338 1.4×	34 0.3×	38 0.3×	154 1.4×	10 0.3×	36	498
David J. Knecht United States	13	49 0.2×	113 1.0×	23 0.2×	73 0.7×	89 2.2×	29	478
Mark Paris United States	16	596 2.5×	85 0.7×	26 0.2×	120 1.1×	11 0.3×	56	758
K.H. Chang United States	8	158 0.7×	58 0.5×	84 0.8×	89 0.8×	10 0.3×	15	365
L.‐E. De Geer Sweden	13	246 1.0×	53 0.5×	285 2.6×	112 1.0×	7 0.2×	20	602
L. Fimiani Germany	12	244 1.0×	41 0.4×	79 0.7×	95 0.9×	9 0.2×	27	442
Susanne Glienke United States	9	97 0.4×	155 1.3×	195 1.8×	54 0.5×	3 0.1×	14	320
J. R. Drummond Canada	11	98 0.4×	180 1.6×	110 1.0×	92 0.8×	9 0.2×	28	350

Countries citing papers authored by L. Rikus

Since Specialization

Citations

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

Fields of papers citing papers by L. Rikus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Rikus

This figure shows the co-authorship network connecting the top 25 collaborators of L. Rikus. A scholar is included among the top collaborators of L. Rikus 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 L. Rikus. L. Rikus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Rennie, Susan, et al.. (2020). Impact of Doppler Radar Wind Observations on Australian High-Resolution Numerical Weather Prediction. Weather and Forecasting. 35(2). 309–324. 4 indexed citations

2.

Tory, Kevin J., et al.. (2018). High-resolution ensemble prediction of the Australian East Coast Low of April 2015. Journal of Southern Hemisphere Earth System Science. 68(1). 165–184. 1 indexed citations

3.

Tory, Kevin J., et al.. (2018). High-resolution ensemble prediction of the Australian East Coast Low of April 2015. Journal of Southern Hemisphere Earth System Science. 68(1). 165–184. 2 indexed citations

4.

Protat, Alain, Eric Schulz, L. Rikus, et al.. (2016). Shipborne observations of the radiative effect of Southern Ocean clouds. Journal of Geophysical Research Atmospheres. 122(1). 318–328. 38 indexed citations

5.

Nguyen, Hanh, et al.. (2015). A regional forecast model evaluation of statistical rainfall properties using the CPOL radar observations in different precipitation regimes over Darwin, Australia. Quarterly Journal of the Royal Meteorological Society. 141(691). 2337–2349. 11 indexed citations

6.

Protat, Alain, et al.. (2013). Evaluation of hydrometeor frequency of occurrence in a limited‐area numerical weather prediction system using near real‐time CloudSat–CALIPSO observations. Quarterly Journal of the Royal Meteorological Society. 140(685). 2430–2443. 8 indexed citations

7.

Rikus, L., et al.. (2002). UV Index and UV dose distributions for Australia (1997-2001). 7 indexed citations

8.

O’Brien, Diane M., et al.. (1997). Spectral analysis of infrared heating in clouds computed with two-stream radiation codes. Journal of Quantitative Spectroscopy and Radiative Transfer. 57(6). 725–737. 4 indexed citations

9.

Rikus, L.. (1997). Application of a Scheme for Validating Clouds in an Operational Global NWP Model. Monthly Weather Review. 125(7). 1615–1637. 13 indexed citations

10.

Colman, Robert, et al.. (1994). Snow and cloud feedbacks modelled by an atmospheric general circulation model. Climate Dynamics. 9(4-5). 253–265. 11 indexed citations

11.

Amos, K., et al.. (1988). Off-shell properties of the two-nucleontmatrix. Physical Review C. 37(3). 934–948. 14 indexed citations

12.

Geramb, H. V. von, et al.. (1985). Microscopic analysis of antiproton scattering from carbon. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 42(5). 209–214. 9 indexed citations

13.

Rana, G. La, C. Ngô, Amand Faessler, et al.. (1984). Heavy-ion optical potentials at finite temperature calculated using a complex effective interaction derived from a realistic force. Nuclear Physics A. 414(2). 309–315. 4 indexed citations

14.

Rikus, L., et al.. (1984). Microscopic analysis of elastic and inelastic proton scattering from 12C. Nuclear Physics A. 414(3). 413–455. 119 indexed citations

15.

Rikus, L. & H. V. von Geramb. (1984). Microscopic analyses of proton scattering from lead. Nuclear Physics A. 426(3). 496–514. 69 indexed citations

16.

Faessler, Amand, L. Rikus, & S.B. Khadkikar. (1983). The heavy-ion potential and its increasing transparency at intermediate energies. Nuclear Physics A. 401(1). 157–174. 6 indexed citations

17.

Faessler, Amand, L. Rikus, & R. Sartor. (1983). Real and imaginary part of the heavy ion optical potential from a realistic nucleon-nucleon interaction. Computer Physics Communications. 28(3). 275–286. 9 indexed citations

18.

Khadkikar, S.B., L. Rikus, Amand Faessler, & R. Sartor. (1981). Surface and volume contributions to real and imaginary parts of the heavy-ion optical potential. Nuclear Physics A. 369(3). 495–513. 24 indexed citations

19.

Rikus, L. & K. Amos. (1980). Low-energy neutron scattering from¹²C and nuclear spectroscopy. Journal of Physics G Nuclear Physics. 6(12). 1535–1551. 1 indexed citations

20.

Rikus, L., Rachel Charlotte Smith, I. Morrison, & K. Amos. (1977). A microscopic model analysis of the 90Zr(p, n) IAS transition. Nuclear Physics A. 286(3). 494–504. 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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