Nicholas R. Moloney

1.1k total citations
25 papers, 678 citations indexed

About

Nicholas R. Moloney is a scholar working on Condensed Matter Physics, Mathematical Physics and Economics and Econometrics. According to data from OpenAlex, Nicholas R. Moloney has authored 25 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Condensed Matter Physics, 8 papers in Mathematical Physics and 8 papers in Economics and Econometrics. Recurrent topics in Nicholas R. Moloney's work include Theoretical and Computational Physics (9 papers), Stochastic processes and statistical mechanics (8 papers) and Complex Systems and Time Series Analysis (6 papers). Nicholas R. Moloney is often cited by papers focused on Theoretical and Computational Physics (9 papers), Stochastic processes and statistical mechanics (8 papers) and Complex Systems and Time Series Analysis (6 papers). Nicholas R. Moloney collaborates with scholars based in United Kingdom, Hungary and Canada. Nicholas R. Moloney's co-authors include Kim Christensen, Zoltàn Ràcz, G. Györgyi, Yuzuru Sato, Davide Faranda, Gunnar Pruessner, Jörn Davidsen, √Ålvaro Corral, Pascal Yiou and Anna Deluca and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Nicholas R. Moloney

25 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas R. Moloney United Kingdom 12 204 168 149 142 135 25 678
K. B. Lauritsen Denmark 17 300 1.5× 153 0.9× 152 1.0× 63 0.4× 137 1.0× 38 947
Reuven Zeitak Israel 15 412 2.0× 172 1.0× 68 0.5× 99 0.7× 264 2.0× 23 685
Jonathan Miller United States 6 213 1.0× 282 1.7× 83 0.6× 85 0.6× 51 0.4× 6 683
Josep M. Porrà Spain 19 76 0.4× 417 2.5× 200 1.3× 42 0.3× 99 0.7× 38 1.1k
Jean-Yves Fortin France 14 360 1.8× 204 1.2× 41 0.3× 154 1.1× 91 0.7× 59 750
Uǧur Tırnaklı Türkiye 19 118 0.6× 849 5.1× 65 0.4× 531 3.7× 51 0.4× 71 1.1k
Yicheng Zhang Italy 16 899 4.4× 240 1.4× 30 0.2× 126 0.9× 487 3.6× 40 1.4k
Marco Baiesi Italy 22 307 1.5× 825 4.9× 48 0.3× 213 1.5× 60 0.4× 78 1.9k
S. Lübeck Germany 17 736 3.6× 206 1.2× 42 0.3× 126 0.9× 367 2.7× 40 944
Paolo Muratore-Ginanneschi Finland 13 102 0.5× 481 2.9× 65 0.4× 37 0.3× 42 0.3× 47 812

Countries citing papers authored by Nicholas R. Moloney

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas R. Moloney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas R. Moloney

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas R. Moloney. A scholar is included among the top collaborators of Nicholas R. Moloney 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 Nicholas R. Moloney. Nicholas R. Moloney 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.
Chapman, S. C., et al.. (2023). Extreme Event Statistics in Dst, SYM‐H, and SMR Geomagnetic Indices. Space Weather. 21(3). 11 indexed citations
2.
Chapman, S. C., et al.. (2022). Variation of Geomagnetic Index Empirical Distribution and Burst Statistics Across Successive Solar Cycles. Journal of Geophysical Research Space Physics. 127(1). 7 indexed citations
3.
Faranda, Davide, Yuzuru Sato, Gabriele Messori, Nicholas R. Moloney, & Pascal Yiou. (2019). Minimal dynamical systems model of the Northern Hemisphere jet stream via embedding of climate data. Earth System Dynamics. 10(3). 555–567. 14 indexed citations
4.
Moloney, Nicholas R., Davide Faranda, & Yuzuru Sato. (2019). An overview of the extremal index. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(2). 22101–22101. 42 indexed citations
5.
Faranda, Davide, Yuzuru Sato, Gabriele Messori, Nicholas R. Moloney, & Pascal Yiou. (2018). Minimal dynamical systems model of the northern hemisphere jetstream via embedding of climate data. Biogeosciences (European Geosciences Union). 3 indexed citations
6.
Corral, √Ålvaro, et al.. (2018). Phase transition, scaling of moments, and order-parameter distributions in Brownian particles and branching processes with finite-size effects. Physical review. E. 97(6). 62156–62156. 8 indexed citations
7.
Chapman, S. C., et al.. (2018). The Dependence of Solar Wind Burst Size on Burst Duration and Its Invariance Across Solar Cycles 23 and 24. Journal of Geophysical Research Space Physics. 123(9). 7196–7210. 6 indexed citations
8.
Font-Clos, Francesc & Nicholas R. Moloney. (2016). Percolation on trees as a Brownian excursion: From Gaussian to Kolmogorov-Smirnov to exponential statistics. Physical review. E. 94(3). 30102–30102. 4 indexed citations
9.
Deluca, Anna, Nicholas R. Moloney, & √Ålvaro Corral. (2015). Data-driven prediction of thresholded time series of rainfall and self-organized criticality models. Physical Review E. 91(5). 52808–52808. 24 indexed citations
10.
Moloney, Nicholas R., et al.. (2014). Stationarity of extreme bursts in the solar wind. Physical Review E. 89(5). 52812–52812. 7 indexed citations
11.
Moloney, Nicholas R., et al.. (2011). Order statistics of 1/f^{\alpha} signals. arXiv (Cornell University). 10 indexed citations
12.
Moloney, Nicholas R. & Jörn Davidsen. (2011). Extreme bursts in the solar wind. Geophysical Research Letters. 38(14). n/a–n/a. 12 indexed citations
13.
Györgyi, G., et al.. (2010). Renormalization-group theory for finite-size scaling in extreme statistics. Physical Review E. 81(4). 41135–41135. 21 indexed citations
14.
Moloney, Nicholas R. & Jörn Davidsen. (2010). Extreme value statistics in the solar wind: An application to correlated Lévy processes. Journal of Geophysical Research Atmospheres. 115(A10). 10 indexed citations
15.
Moloney, Nicholas R., et al.. (2009). Extreme value statistics and return intervals in long-range correlated uniform deviates. Physical Review E. 79(4). 41131–41131. 16 indexed citations
16.
Györgyi, G., et al.. (2008). Finite-Size Scaling in Extreme Statistics. Physical Review Letters. 100(21). 210601–210601. 30 indexed citations
17.
Györgyi, G., et al.. (2007). Maximal height statistics for1fαsignals. Physical Review E. 75(2). 21123–21123. 34 indexed citations
18.
Burkhardt, Theodore W., G. Györgyi, Nicholas R. Moloney, & Zoltàn Ràcz. (2007). Extreme statistics for time series: Distribution of the maximum relative to the initial value. Physical Review E. 76(4). 41119–41119. 29 indexed citations
19.
Christensen, Kim, Nicholas R. Moloney, Ole Peters, & Gunnar Pruessner. (2004). Avalanche behavior in an absorbing state Oslo model. Physical Review E. 70(6). 67101–67101. 9 indexed citations
20.
Moloney, Nicholas R. & Gunnar Pruessner. (2003). Asynchronously parallelized percolation on distributed machines. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(3). 37701–37701. 10 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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