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Malte Toetzke
Observed names:
M Toetzke,
Toetzke, M.,
Toetzke, Malte
Institutions:
Max Planck Institute for Innovation and Competition,
Technical University of Munich
Observed institutions:
University of Cambridge,
ETH Zurich,
Max Planck Institute for Innovation and Competition,
Technical University of Munich
ORCID:
0000-0002-1153-2702
Observed ORCID:
0000-0002-1153-2702
OpenAlex ID:
A5058238942
Systematic assessment of the achieved emission reductions of carbon crediting projects
2024
·
Benedict S. Probst
, Malte Toetzke
, et al.
·
Nature Communications
·
198
Consistent and replicable estimation of bilateral climate finance
2022
·
Malte Toetzke
, Anna Stünzi
, et al.
·
Nature Climate Change
·
52
Monitoring global development aid with machine learning
2022
·
Malte Toetzke
, Nicolas Banholzer
, et al.
·
Nature Sustainability
·
43
A reporting checklist for large language models in behavioural science
2026
·
Stefan Feuerriegel
, Christopher Barrie
, et al.
·
Nature Human Behaviour
·
34
PDF
Systematic review of the actual emissions reductions of carbon offset projects across all major sectors
2023
·
Benedict Probst
, Malte Toetzke
, et al.
·
Research Square
·
26
PDF
Leveraging large language models to monitor climate technology innovation
2023
·
Malte Toetzke
, Benedict Probst
, et al.
·
Environmental Research Letters
·
21
PDF
A typology of digital building technologies: Implications for policy and industry
2019
·
J Meuer
, M Toetzke
, et al.
·
IOP Conference Series Earth and Environmental Science
·
13
PDF
Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France
2022
·
Manuel Ganter
, Malte Toetzke
, et al.
·
Proceedings of the International AAAI Conference on Web and Social Media
·
5
PDF
Analyzing the dynamics of innovation networks in climate technologies using large language models
2024
·
Malte Toetzke
, Benedict Probst
, et al.
·
SSRN Electronic Journal
·
4
Non-profits deliver more accurate forestry carbon credits than for-profits
2025
·
Benedict Probst
, Anna Neumann
, et al.
·
Research Square
·
2
What Firms Actually Lose (and Gain) from Extreme Weather Event Impacts
2026
·
Tobias Schimanski
, Glen Gostlow
, et al.
·
SSRN Electronic Journal
·
1
Tracking funding disparities in global health aid with machine learning
2026
·
Finn Stürenburg
, Kerstin Forster
, et al.
·
Nature Communications
PDF
Analyzing the Dynamics of Innovation Networks in Climate Technologies Using Large Language Models
2026
·
Toetzke, M.
, Probst, B.
, et al.
·
MPG.PuRe (Max Planck Society)
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Works count:
20
Citation count:
401
H-index:
7
I10-index:
7
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