Lynn H. Kaack

2.0k total citations · 1 hit paper
11 papers, 510 citations indexed

About

Lynn H. Kaack is a scholar working on Environmental Engineering, Building and Construction and Transportation. According to data from OpenAlex, Lynn H. Kaack has authored 11 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Environmental Engineering, 3 papers in Building and Construction and 2 papers in Transportation. Recurrent topics in Lynn H. Kaack's work include 3D Modeling in Geospatial Applications (2 papers), Urban Transport and Accessibility (2 papers) and Computational and Text Analysis Methods (1 paper). Lynn H. Kaack is often cited by papers focused on 3D Modeling in Geospatial Applications (2 papers), Urban Transport and Accessibility (2 papers) and Computational and Text Analysis Methods (1 paper). Lynn H. Kaack collaborates with scholars based in Germany, United States and Switzerland. Lynn H. Kaack's co-authors include Felix Creutzig, Emma Strubell, Priya L. Donti, David Rolnick, George Kamiya, M. Granger Morgan, Parth Vaishnav, Inês L. Azevedo, Srijana Rai and Marius Zumwald and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Lynn H. Kaack

10 papers receiving 484 citations

Hit Papers

Aligning artificial intelligence with climate change miti... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynn H. Kaack Germany 7 115 93 82 81 67 11 510
Nolberto Munier Spain 13 68 0.6× 114 1.2× 71 0.9× 66 0.8× 44 0.7× 30 710
Adeeb A. Kutty Qatar 16 105 0.9× 132 1.4× 63 0.8× 181 2.2× 96 1.4× 31 749
Lu Gan China 11 66 0.6× 44 0.5× 102 1.2× 54 0.7× 104 1.6× 38 426
Michael Bruhn Barfod Denmark 13 116 1.0× 87 0.9× 22 0.3× 34 0.4× 38 0.6× 32 578
Alexi Delgado Peru 12 75 0.7× 63 0.7× 75 0.9× 41 0.5× 68 1.0× 102 681
Yanyu Chen China 11 118 1.0× 23 0.2× 28 0.3× 59 0.7× 104 1.6× 26 501
Aleksandra Bączkiewicz Poland 14 50 0.4× 55 0.6× 38 0.5× 47 0.6× 50 0.7× 37 635
R. Vreeker Netherlands 10 90 0.8× 141 1.5× 154 1.9× 45 0.6× 89 1.3× 29 668
Daniele Vettorato Italy 17 188 1.6× 165 1.8× 171 2.1× 150 1.9× 60 0.9× 27 770

Countries citing papers authored by Lynn H. Kaack

Since Specialization
Citations

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

Fields of papers citing papers by Lynn H. Kaack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn H. Kaack. 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 Lynn H. Kaack. The network helps show where Lynn H. Kaack may publish in the future.

Co-authorship network of co-authors of Lynn H. Kaack

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

All Works

11 of 11 papers shown
1.
Klein, Nadja, et al.. (2025). From counting stations to city-wide estimates: data-driven bicycle volume extrapolation. SHILAP Revista de lepidopterología. 4.
2.
Chevance, Guillaume, Mark Nieuwenhuijsen, Kelly J. Clifton, et al.. (2024). Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities. Environmental Research Letters. 19(5). 51002–51002. 1 indexed citations
3.
Milojevic-Dupont, Nikola, Felix Wagner, Jia Hu, et al.. (2023). EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. Scientific Data. 10(1). 147–147. 66 indexed citations
4.
Sewerin, Sebastian, et al.. (2023). Towards understanding policy design through text-as-data approaches: The policy design annotations (POLIANNA) dataset. Scientific Data. 10(1). 896–896. 11 indexed citations
5.
Kaack, Lynn H., Priya L. Donti, Emma Strubell, et al.. (2022). Aligning artificial intelligence with climate change mitigation. Nature Climate Change. 12(6). 518–527. 238 indexed citations breakdown →
6.
Kaack, Lynn H., Priya L. Donti, Emma Strubell, & David Rolnick. (2021). Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals. OPUS 4 (Zuse Institute Berlin). 4 indexed citations
7.
Reisch, Lucia A., Lucas Joppa, Peter Howson, et al.. (2021). Digitizing a sustainable future. One Earth. 4(6). 768–771. 7 indexed citations
8.
Kaack, Lynn H.. (2021). Machine learning enables global solar-panel detection. Nature. 598(7882). 567–568. 2 indexed citations
9.
Milojevic-Dupont, Nikola, Lynn H. Kaack, Marius Zumwald, et al.. (2020). Learning from urban form to predict building heights. PLoS ONE. 15(12). e0242010–e0242010. 51 indexed citations
10.
Kaack, Lynn H., Parth Vaishnav, M. Granger Morgan, Inês L. Azevedo, & Srijana Rai. (2018). Decarbonizing intraregional freight systems with a focus on modal shift. Environmental Research Letters. 13(8). 83001–83001. 103 indexed citations
11.
Kaack, Lynn H., Jay Apt, M. Granger Morgan, & Patrick McSharry. (2017). Empirical prediction intervals improve energy forecasting. Proceedings of the National Academy of Sciences. 114(33). 8752–8757. 27 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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