Ronald D. Ripple

68 total papers · 1.0k total citations
36 papers, 762 citations indexed

About

Ronald D. Ripple is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ronald D. Ripple has authored 36 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 16 papers in General Economics, Econometrics and Finance and 16 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ronald D. Ripple's work include Market Dynamics and Volatility (17 papers), Global Energy and Sustainability Research (12 papers) and Monetary Policy and Economic Impact (11 papers). Ronald D. Ripple is often cited by papers focused on Market Dynamics and Volatility (17 papers), Global Energy and Sustainability Research (12 papers) and Monetary Policy and Economic Impact (11 papers). Ronald D. Ripple collaborates with scholars based in Australia, United States and China. Ronald D. Ripple's co-authors include Roselyne Joyeux, Roberto F. Aguilera, Stefan Trück, Imad A. Moosa, Raymond Li, Yue‐Jun Zhang, Ling‐Yun He, Ting Yao, Arjun Chatrath and Bahram Adrangi and has published in prestigious journals such as Applied Energy, Energy Policy and Fuel.

In The Last Decade

Ronald D. Ripple

36 papers receiving 736 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ronald D. Ripple 575 373 155 105 82 36 762
Vipin Arora 710 1.2× 399 1.1× 256 1.7× 71 0.7× 35 0.4× 31 843
Timothy J. Considine 542 0.9× 360 1.0× 122 0.8× 79 0.8× 56 0.7× 53 903
Hamed Ghoddusi 431 0.7× 231 0.6× 71 0.5× 74 0.7× 40 0.5× 47 724
Manuel Monge 489 0.9× 113 0.3× 130 0.8× 64 0.6× 11 0.1× 47 726
Axel Pierru 351 0.6× 311 0.8× 82 0.5× 86 0.8× 80 1.0× 69 678
Lu‐Tao Zhao 494 0.9× 225 0.6× 33 0.2× 48 0.5× 35 0.4× 67 850
Kentaka Aruga 427 0.7× 162 0.4× 43 0.3× 57 0.5× 95 1.2× 63 652
Fulvio Fontini 357 0.6× 212 0.6× 56 0.4× 63 0.6× 47 0.6× 47 700
Yifan Shen 436 0.8× 149 0.4× 56 0.4× 74 0.7× 60 0.7× 63 863
Raymond Li 534 0.9× 424 1.1× 86 0.6× 16 0.2× 131 1.6× 46 882

Countries citing papers authored by Ronald D. Ripple

Since Specialization
Citations

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

Fields of papers citing papers by Ronald D. Ripple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald D. Ripple. 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 Ronald D. Ripple. The network helps show where Ronald D. Ripple may publish in the future.

Co-authorship network of co-authors of Ronald D. Ripple

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

All Works

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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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