Vanessa Haverd

20.5k total citations · 3 hit papers
85 papers, 4.2k citations indexed

About

Vanessa Haverd is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Vanessa Haverd has authored 85 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 17 papers in Nature and Landscape Conservation. Recurrent topics in Vanessa Haverd's work include Plant Water Relations and Carbon Dynamics (56 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (21 papers). Vanessa Haverd is often cited by papers focused on Plant Water Relations and Carbon Dynamics (56 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (21 papers). Vanessa Haverd collaborates with scholars based in Australia, United States and Germany. Vanessa Haverd's co-authors include Benjamin Smith, Matthias Cuntz, Peter Briggs, Josep G. Canadell, Michael Raupach, Almut Arneth, Benjamin Poulter, Thomas A. M. Pugh, Matt Paget and Leonardo Calle and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Vanessa Haverd

85 papers receiving 4.1k citations

Hit Papers

Role of forest regrowth in global carbon sink dynamics 2018 2026 2020 2023 2019 2018 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa Haverd Australia 34 3.3k 1.3k 837 653 600 85 4.2k
S. D. Miller United States 36 3.2k 1.0× 1.7k 1.3× 873 1.0× 592 0.9× 454 0.8× 66 4.7k
Jian Bi China 16 2.3k 0.7× 807 0.6× 1.2k 1.4× 383 0.6× 408 0.7× 32 3.1k
Marcos Longo United States 30 2.5k 0.8× 753 0.6× 1.1k 1.3× 987 1.5× 585 1.0× 75 3.3k
Eva Falge Germany 25 3.7k 1.2× 1.3k 1.0× 1.1k 1.3× 688 1.1× 497 0.8× 41 4.5k
Jérôme Ogée France 34 4.2k 1.3× 2.1k 1.7× 1.1k 1.3× 872 1.3× 425 0.7× 78 5.3k
Andy Wiltshire United Kingdom 26 2.5k 0.8× 1.0k 0.8× 925 1.1× 343 0.5× 277 0.5× 48 3.5k
Cuihua Li China 22 2.8k 0.9× 2.1k 1.6× 658 0.8× 510 0.8× 230 0.4× 56 4.0k
Ramdane Alkama France 28 2.3k 0.7× 1.1k 0.9× 624 0.7× 308 0.5× 469 0.8× 45 3.1k
Manuel Gloor United Kingdom 45 5.4k 1.7× 3.3k 2.6× 813 1.0× 753 1.2× 390 0.7× 114 7.0k
Ian Baker United States 36 3.7k 1.1× 2.1k 1.6× 766 0.9× 183 0.3× 635 1.1× 92 4.7k

Countries citing papers authored by Vanessa Haverd

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Haverd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Haverd

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Haverd. A scholar is included among the top collaborators of Vanessa Haverd 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 Vanessa Haverd. Vanessa Haverd 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.
Noh, Nam Jin, Alexandre A. Renchon, Jürgen Knauer, et al.. (2024). Reconciling Top‐Down and Bottom‐Up Estimates of Ecosystem Respiration in a Mature Eucalypt Forest. Journal of Geophysical Research Biogeosciences. 129(10). 4 indexed citations
2.
Knauer, Jürgen, et al.. (2023). Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change. Global Change Biology. 30(1). e17021–e17021. 6 indexed citations
3.
Knauer, Jürgen, Matthias Cuntz, Benjamin Smith, et al.. (2023). Higher global gross primary productivity under future climate with more advanced representations of photosynthesis. Science Advances. 9(46). eadh9444–eadh9444. 22 indexed citations
4.
Arndt, Stefan K., Lauren T. Bennett, Jürgen Knauer, et al.. (2021). Thermal optima of gross primary productivity are closely aligned with mean air temperatures across Australian wooded ecosystems. Global Change Biology. 27(19). 4727–4744. 29 indexed citations
5.
Winkler, Alexander J., Ranga B. Myneni, Alexis Hannart, et al.. (2021). Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO 2. Biogeosciences. 18(17). 4985–5010. 78 indexed citations
6.
Teckentrup, Lina, Martin G. De Kauwe, A. J. Pitman, et al.. (2021). Assessing the representation of the Australian carbon cycle in global vegetation models. 1 indexed citations
7.
Teckentrup, Lina, Martin G. De Kauwe, A. J. Pitman, et al.. (2021). Assessing the representation of the Australian carbon cycle in global vegetation models. Biogeosciences. 18(20). 5639–5668. 23 indexed citations
8.
Canadell, Josep G., C. P. Meyer, Garry D. Cook, et al.. (2021). Multi-decadal increase of forest burned area in Australia is linked to climate change. Nature Communications. 12(1). 6921–6921. 298 indexed citations breakdown →
9.
Pan, Shufen, Naiqing Pan, Hanqin Tian, et al.. (2020). Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling. Hydrology and earth system sciences. 24(3). 1485–1509. 203 indexed citations
10.
Jeong, Sujong, Chang‐Hoi Ho, Hoonyoung Park, et al.. (2020). Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017. Global Change Biology. 26(6). 3368–3383. 9 indexed citations
11.
Collalti, Alessio, Andreas Ibrom, Anders Stockmarr, et al.. (2020). Forest production efficiency increases with growth temperature. Nature Communications. 11(1). 5322–5322. 72 indexed citations
12.
Zhu, Dan, Chunju Huang, Philippe Ciais, et al.. (2019). Negative extreme events in gross primary productivity and their drivers in China during the past three decades. Agricultural and Forest Meteorology. 275. 47–58. 62 indexed citations
13.
O’Sullivan, Michael, Pierre Friedlingstein, Stephen Sitch, et al.. (2019). Changes in terrestrial carbon fluxes, stocks, and residence times over recent decades using TRENDY DGVMs. EGU General Assembly Conference Abstracts. 17763. 2 indexed citations
14.
Liu, Ning, Jatin Kala, Shirong Liu, et al.. (2019). Drought can offset potential water use efficiency of forest ecosystems from rising atmospheric CO2. Journal of Environmental Sciences. 90. 262–274. 17 indexed citations
15.
Cernusak, Lucas A., et al.. (2019). Robust Response of Terrestrial Plants to Rising CO2. Trends in Plant Science. 24(7). 578–586. 61 indexed citations
16.
Haverd, Vanessa, Benjamin Smith, Lars Nieradzik, Peter Briggs, & Josep G. Canadell. (2017). A novel assessment of the role of land-use and land-cover change in the global carbon cycle, using a new Dynamic Global Vegetation Model version of the CABLE land surface model. EGU General Assembly Conference Abstracts. 13881. 1 indexed citations
17.
Whitley, Rhys, Jason Beringer, Lindsay B. Hutley, et al.. (2016). Challenges and opportunities in modelling savanna ecosystems. 2 indexed citations
18.
Ryder, Jim, Jan Polcher‬, Philippe Peylin, et al.. (2016). A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations. Geoscientific model development. 9(1). 223–245. 30 indexed citations
19.
Ukkola, Anna, Martin G. De Kauwe, A. J. Pitman, et al.. (2016). Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts. Environmental Research Letters. 11(10). 104012–104012. 101 indexed citations
20.
Frost, Andrew, et al.. (2015). Evaluation of AWRA-L: the Australian Water Resource Assessment model. 5 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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