Matthew C. Ives

2.0k total citations · 1 hit paper
39 papers, 1.3k citations indexed

About

Matthew C. Ives is a scholar working on Global and Planetary Change, Economics and Econometrics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Matthew C. Ives has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Economics and Econometrics and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Matthew C. Ives's work include Climate Change Policy and Economics (13 papers), Marine and fisheries research (11 papers) and Fish Ecology and Management Studies (10 papers). Matthew C. Ives is often cited by papers focused on Climate Change Policy and Economics (13 papers), Marine and fisheries research (11 papers) and Fish Ecology and Management Studies (10 papers). Matthew C. Ives collaborates with scholars based in United Kingdom, Australia and United States. Matthew C. Ives's co-authors include Rupert Way, Penny Mealy, J. Doyne Farmer, René Bañares‐Alcántara, M. B. Mason, Richard Nayak-Luke, Jim W. Hall, Scott Thacker, James P. Scandol and Daniel Adshead and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Matthew C. Ives

35 papers receiving 1.3k citations

Hit Papers

Empirically grounded technology forecasts and the energy ... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew C. Ives United Kingdom 18 385 291 278 158 157 39 1.3k
Zhu Deng China 17 529 1.4× 629 2.2× 538 1.9× 54 0.3× 375 2.4× 35 2.8k
Christine Shearer United States 11 397 1.0× 340 1.2× 336 1.2× 32 0.2× 161 1.0× 25 1.5k
Yue Qin China 23 523 1.4× 344 1.2× 357 1.3× 18 0.1× 196 1.2× 55 2.1k
Stephen M. Smith United States 24 583 1.5× 542 1.9× 265 1.0× 63 0.4× 111 0.7× 61 2.1k
Zebedee Nicholls Australia 17 749 1.9× 583 2.0× 316 1.1× 21 0.1× 152 1.0× 51 1.6k
N. Nakićenović Austria 12 505 1.3× 549 1.9× 401 1.4× 40 0.3× 152 1.0× 39 1.6k
Tarun Khanna Germany 7 557 1.4× 611 2.1× 345 1.2× 18 0.1× 182 1.2× 22 1.8k
Jay Sterling Gregg Denmark 22 936 2.4× 307 1.1× 215 0.8× 43 0.3× 196 1.2× 41 2.0k
Nathan Hultman United States 27 1.0k 2.6× 1.0k 3.5× 685 2.5× 70 0.4× 326 2.1× 72 2.8k
Laurent Drouet Italy 18 749 1.9× 1.1k 3.7× 641 2.3× 29 0.2× 245 1.6× 57 2.5k

Countries citing papers authored by Matthew C. Ives

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Ives

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Ives. 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 Matthew C. Ives. The network helps show where Matthew C. Ives may publish in the future.

Co-authorship network of co-authors of Matthew C. Ives

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Ives. A scholar is included among the top collaborators of Matthew C. Ives 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 Matthew C. Ives. Matthew C. Ives 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.
Rekker, Saphira, Anders Bjørn, Chris Greig, et al.. (2025). Balancing simplicity and complexity through corporate emissions benchmarking. Nature Climate Change. 15(11). 1127–1129.
2.
Hepburn, Cameron, Matthew C. Ives, Penny Mealy, et al.. (2025). Economic models and frameworks to guide climate policy. Oxford Review of Economic Policy. 41(2). 616–652.
3.
Pichler, Anton, et al.. (2025). Employment dynamics in a rapid decarbonization of the US power sector. Joule. 9(2). 101803–101803. 3 indexed citations
4.
Ives, Matthew C., et al.. (2024). Accelerating carbon neutrality in China: Sensitive intervention points for the energy and transport sectors in Beijing and Hong Kong. Journal of Cleaner Production. 450. 141681–141681. 2 indexed citations
5.
Ives, Matthew C., et al.. (2024). Model-based financial regulations impair the transition to net-zero carbon emissions. Nature Climate Change. 14(5). 476–481. 5 indexed citations
6.
Way, Rupert, et al.. (2024). The need for better statistical testing in data-driven energy technology modeling. Joule. 8(9). 2453–2466. 5 indexed citations
7.
Mealy, Penny, Pete Barbrook-Johnson, Matthew C. Ives, Sugandha Srivastav, & Cameron Hepburn. (2023). Sensitive intervention points: a strategic approach to climate action. Oxford Review of Economic Policy. 39(4). 694–710. 10 indexed citations
8.
Meulen, Dylan E. van der, Chris T. Walsh, Ivars Reinfelds, et al.. (2023). Estuarine movements in a sparid hybrid complex. Marine and Freshwater Research. 74(7). 625–640.
9.
Rekker, Saphira, Matthew C. Ives, Belinda Wade, Lachlan Webb, & Chris Greig. (2022). Measuring corporate Paris Compliance using a strict science-based approach. Nature Communications. 13(1). 4441–4441. 28 indexed citations
10.
Way, Rupert, Matthew C. Ives, Penny Mealy, & J. Doyne Farmer. (2022). Empirically grounded technology forecasts and the energy transition. Joule. 6(9). 2057–2082. 286 indexed citations breakdown →
11.
Ives, Matthew C., et al.. (2022). Are central banks accounting for climate uncertainty right and does it matter?. SSRN Electronic Journal. 1 indexed citations
12.
Ives, Matthew C., Adrian Hickford, Daniel Adshead, et al.. (2019). A systems-based assessment of Palestine's current and future infrastructure requirements. Journal of Environmental Management. 234. 200–213. 15 indexed citations
13.
Payo, Andrés, David Favis‐Mortlock, Mark E. Dickson, et al.. (2017). Coastal Modelling Environment version 1.0: a framework for integrating landform-specific component models in order to simulate decadal to centennial morphological changes on complex coasts. Geoscientific model development. 10(7). 2715–2740. 16 indexed citations
14.
Payo, Andrés, David Favis‐Mortlock, Mark E. Dickson, et al.. (2016). CoastalME version 1.0: a Coastal Modelling Environment for simulating decadal to centennial morphological changes. ePrints Soton (University of Southampton). 2 indexed citations
15.
Simpson, Michael, Rachel James, Jim W. Hall, et al.. (2016). Decision Analysis for Management of Natural Hazards. Annual Review of Environment and Resources. 41(1). 489–516. 39 indexed citations
16.
17.
Robbins, William D., Victor M. Peddemors, Steven J. Kennelly, & Matthew C. Ives. (2014). Experimental Evaluation of Shark Detection Rates by Aerial Observers. PLoS ONE. 9(2). e83456–e83456. 35 indexed citations
18.
Taylor, Matthew D., Dylan E. van der Meulen, Matthew C. Ives, et al.. (2014). Shock, Stress or Signal? Implications of Freshwater Flows for a Top-Level Estuarine Predator. PLoS ONE. 9(4). e95680–e95680. 36 indexed citations
19.
Ives, Matthew C. & James P. Scandol. (2012). BIOMAS: A bio-economic modelling and assessment system for fisheries management strategy evaluation. Ecological Modelling. 249. 42–49. 7 indexed citations
20.
Gray, Charles A., et al.. (2010). Variation in growth, mortality, length and age compositions of harvested populations of the herbivorous fishGirella tricuspidata. Journal of Fish Biology. 76(4). 880–899. 21 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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