David Newth
- Transportation top 2%
- Environmental Engineering top 2%
- Environmental Impact and Sustainability 7
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 12
- Economics and Econometrics top 2%
- Climate Change Policy and Economics 10
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- Global Energy and Sustainability Research 8
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- Evolutionary Game Theory and Cooperation 9
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- Evolution and Genetic Dynamics 6
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- Gene Regulatory Network Analysis 5
David Newth
58 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Transportation 252
- Environmental Engineering 446
- Statistical and Nonlinear Physics 265
- Economics and Econometrics 491
- Renewable Energy, Sustainability and the Environment 262
Countries citing papers authored by David Newth
This map shows the geographic impact of David Newth'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 David Newth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Newth more than expected).
Fields of papers citing papers by David Newth
This network shows the impact of papers produced by David Newth. 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 David Newth. The network helps show where David Newth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Newth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2016 | 15 | |
| 4 | Understanding Human Mobility from Twitterbreakdown → | 2015 | 440 |
| 5 | 2015 | 127 | |
| 6 | 2015 | 24 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 8 | |
| 9 | 2011 | 3 | |
| 10 | 2011 | 17 | |
| 11 | 2008 | 16 | |
| 12 | 2008 | 1 | |
| 13 | 2007 | 233 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 5 | |
| 16 | 2006 | 33 | |
| 17 | Food web complexity: Latitudinal trends, topological properties and stability | 2004 | 3 |
| 18 | Emergent Organization in Dynamic Networks | 2002 | 1 |
| 19 | Consensus and cohesion in simulated social networks | 2001 | 23 |
| 20 | Towards a theory of everything? - grand challenges in complexity and informatics | 2000 | 8 |
About David Newth
David Newth is a scholar working on Statistical and Nonlinear Physics, Renewable Energy, Sustainability and the Environment, Environmental Engineering, Management Science and Operations Research and Economics and Econometrics, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (12 papers), Climate Change Policy and Economics (10 papers), Evolutionary Game Theory and Cooperation (9 papers), Global Energy and Sustainability Research (8 papers), Environmental Impact and Sustainability (7 papers), Evolution and Genetic Dynamics (6 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Transportation (252 citations), Environmental Engineering (446 citations), Statistical and Nonlinear Physics (265 citations), Economics and Econometrics (491 citations) and Renewable Energy, Sustainability and the Environment (262 citations). David Newth has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John Ash, Yiyong Cai, Steve Hatfield–Dodds, Kun Zhao, Jiajun Liu, Raja Jurdak, Maurice Abou Jaoude, Mark Cameron, Heinz Schandl and Tim Baynes. Their work appears in journals such as Nature, Journal of Cleaner Production, Environmental Modelling & Software, PLoS ONE and Atmosphere.
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.