Finn Müller-Hansen

1.8k total citations · 1 hit paper
29 papers, 956 citations indexed

About

Finn Müller-Hansen is a scholar working on Sociology and Political Science, Global and Planetary Change and Economics and Econometrics. According to data from OpenAlex, Finn Müller-Hansen has authored 29 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 9 papers in Global and Planetary Change and 6 papers in Economics and Econometrics. Recurrent topics in Finn Müller-Hansen's work include Social Acceptance of Renewable Energy (6 papers), Climate Change Communication and Perception (5 papers) and Ecosystem dynamics and resilience (4 papers). Finn Müller-Hansen is often cited by papers focused on Social Acceptance of Renewable Energy (6 papers), Climate Change Communication and Perception (5 papers) and Ecosystem dynamics and resilience (4 papers). Finn Müller-Hansen collaborates with scholars based in Germany, United Kingdom and Sweden. Finn Müller-Hansen's co-authors include Jan C. Minx, Max Callaghan, William F. Lamb, Felix Creutzig, Stuart Capstick, J. Timmons Roberts, J. Steinberger, Sebastian Levi, Giulio Mattioli and Jonathan F. Donges and has published in prestigious journals such as Energy Policy, Nature Geoscience and Ecological Economics.

In The Last Decade

Finn Müller-Hansen

26 papers receiving 924 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discourses of climate delay

2020 351 citations William F. Lamb, Sebastian Levi et al. profile →

Peers

Countries citing papers authored by Finn Müller-Hansen

Since Specialization

Citations

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

Fields of papers citing papers by Finn Müller-Hansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Finn Müller-Hansen. 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 Finn Müller-Hansen. The network helps show where Finn Müller-Hansen may publish in the future.

Co-authorship network of co-authors of Finn Müller-Hansen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine learning map of climate policy literature reveals disparities between scientific attention, policy density, and emissions 2025 ·npj Climate Action ·Max Callaghan, (unknown), (unknown), Duncan Edmondson, Christian Flachsland, William F. Lamb, Sebastian Levi, Finn Müller-Hansen, (unknown), (unknown), Jan C. Minx	3
2	How global crises compete for our attention: Insights from 13.5 million tweets on climate change during COVID-19 2024 ·Energy Research & Social Science ·(unknown), Max Callaghan, William F. Lamb, Sarah Lück, Finn Müller-Hansen, Jan C. Minx	1
3	Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade 2024 ·Communications Earth & Environment ·(unknown), Finn Müller-Hansen, Emily Cox, Jan C. Minx	0
4	Technological innovation enables low cost climate change mitigation 2023 ·Energy Research & Social Science ·Felix Creutzig, Jérôme Hilaire, Gregory F. Nemet, Finn Müller-Hansen, Jan C. Minx	20
5	The political economy of coal across 12 countries: Analysing qualitative interviews with topic models 2023 ·Energy Research & Social Science ·(unknown), Finn Müller-Hansen, Jan Christoph Steckel	6
6	Attention, sentiments and emotions towards emerging climate technologies on Twitter 2023 ·Global Environmental Change ·Finn Müller-Hansen, (unknown), Chad M. Baum, Elina Brutschin, Max Callaghan, Ramit Debnath, William F. Lamb, Sean Low, Sarah Lück, Cameron Roberts, Benjamin K. Sovacool, Jan C. Minx	21
7	Conspiracy spillovers and geoengineering 2023 ·iScience ·Ramit Debnath, David Reiner, Benjamin K. Sovacool, Finn Müller-Hansen, (unknown), R. Michael Alvarez, Shaun Fitzgerald	13
8	Dataset on the adoption of historical technologies informs the scale-up of emerging carbon dioxide removal measures 2023 ·Communications Earth & Environment ·Gregory F. Nemet, (unknown), Finn Müller-Hansen, Jan C. Minx	23
9	The German coal debate on Twitter: Reactions to a corporate policy process 2022 ·Energy Policy ·Finn Müller-Hansen, (unknown), Max Callaghan, Slava Mikhaylov, Jan C. Minx	9
10	Who cares about coal? Analyzing 70 years of German parliamentary debates on coal with dynamic topic modeling 2021 ·Energy Research & Social Science ·Finn Müller-Hansen, Max Callaghan, (unknown), Anna Leipprand, Christian Flachsland, Jan C. Minx	36
11	Statistical stopping criteria for automated screening in systematic reviews 2020 ·Systematic Reviews ·Max Callaghan, Finn Müller-Hansen	56
12	Macroscopic approximation methods for the analysis of adaptive networked agent-based models: Example of a two-sector investment model 2020 ·Physical review. E ·(unknown), Finn Müller-Hansen, Jürgen Kurths, Jobst Heitzig	1
13	Earth system modelling with complex dynamic human societies: the copan:CORE World-Earth modeling framework 2018 ·Biogeosciences (European Geosciences Union) ·Jonathan F. Donges, Jobst Heitzig, Wolfram Barfuß, (unknown), (unknown), (unknown), (unknown), Finn Müller-Hansen, Ilona M. Otto, Marc Wiedermann, (unknown), Wolfgang Lucht	13
14	From lakes and glades to viability algorithms: Automatic classification\n of system states according to the Topology of Sustainable Management 2017 ·arXiv (Cornell University) ·(unknown), Finn Müller-Hansen, (unknown), Jobst Heitzig, Guillaume Deffuant, Jean‐Denis Mathias, Jürgen Kurths	1
15	Towards representing human behavior and decision making in Earth system models – an overview of techniques and approaches 2017 ·Earth System Dynamics ·Finn Müller-Hansen, Maja Schlüter‬, Michael Mäs, Jonathan F. Donges, (unknown), Kirsten Thonicke, Jobst Heitzig	68
16	How to represent human behavior and decision making in Earthsystem models? A guide to techniques and approaches 2017 ·Finn Müller-Hansen, Maja Schlüter‬, Michael Mäs, Rainer Hegselmann, Jonathan F. Donges, (unknown), Kirsten Thonicke, Jobst Heitzig	4
17	A matrix clustering method to explore patterns of land-cover transitions in satellite-derived maps of the Brazilian Amazon 2017 ·Nonlinear processes in geophysics ·Finn Müller-Hansen, Manoel Cardoso, Eloi L. Dalla-Nora, Jonathan F. Donges, Jobst Heitzig, Jürgen Kurths, Kirsten Thonicke	19
18	The technosphere in Earth System analysis: A coevolutionary perspective 2017 ·The Anthropocene Review ·Jonathan F. Donges, Wolfgang Lucht, Finn Müller-Hansen, Will Steffen	30
19	Patterns of land-cover transitions from satellite imagery of the Brazilian Amazon 2016 ·Finn Müller-Hansen, Manoel Cardoso, Eloi L. Dalla-Nora, Jonathan F. Donges, Jobst Heitzig, Jürgen Kurths, Kirsten Thonicke	2
20	Statistics of a neuron model driven by asymmetric colored noise 2015 ·Physical Review E ·Finn Müller-Hansen, (unknown), Benjamin Lindner	27

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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