Lynn H. Kaack

2.0k citations
11 papers · 510 indexed · 1 hit paper · h-index 7
Topics
3D Modeling in Geospatial Applications (2 papers)Urban Transport and Accessibility (2 papers)Environmental Impact and Sustainability (1 paper)
Journals
NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología

In The Last Decade

Lynn H. Kaack

10 papers receiving 484 citations

Hit Papers

Aligning artificial intelligence with climate change miti...2022202620232024202250100150200

Peers

Lynn H. Kaack
Comparison fields: 5 of 95
  • Environmental Engineering 115
  • Building and Construction 93
  • Global and Planetary Change 82
  • Electrical and Electronic Engineering 81
  • Economics and Econometrics 67
Replace Massimo Regona with:
Massimo Regona Australia
Bao Jiang China
Jinpeng Liu China
Nolberto Munier Spain
Yuanxin Zhang China
Marta Skiba Poland
Amin Kaboli Switzerland
Adeeb A. Kutty Qatar
Alexi Delgado Peru
Lynn H. Kaack relative to Massimo Regona Australia Massimo Regona's profile →
Citations per field
00.5×10×14×
Massimo Regona · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 11
4 66
5
Aligning artificial intelligence with climate change mitigationbreakdown →
238
6
Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals
4
7 7
8 2
9 51
10 103
11 27

About Lynn H. Kaack

Lynn H. Kaack is a scholar working on General Social Sciences, Transportation and Building and Construction, having authored 11 papers that have together received 510 indexed citations. Recurring topics across this work include 3D Modeling in Geospatial Applications (2 papers), Urban Transport and Accessibility (2 papers) and Environmental Impact and Sustainability (1 paper). The work is most often cited by research in Transportation (62 citations), Environmental Engineering (115 citations) and Health Informatics (10 citations). Lynn H. Kaack has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Felix Creutzig, David Rolnick, Priya L. Donti, Emma Strubell, George Kamiya, M. Granger Morgan, Srijana Rai, Inês L. Azevedo, Parth Vaishnav and Marius Zumwald. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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