Inês L. Azevedo

112 papers receiving 5.0k citations

Hit Papers

Global food system emissions could preclude achieving the...2020202620222024202020222025200400600

Peers

Inês L. Azevedo
Comparison fields: 5 of 145
  • Electrical and Electronic Engineering 1.8k
  • Renewable Energy, Sustainability and the Environment 1.6k
  • Automotive Engineering 878
  • Environmental Engineering 826
  • Economics and Econometrics 786
Replace David McCollum with:
David McCollum Austria
Paulina Jaramillo United States
Xunmin Ou China
P.R. Shukla India
Oreane Y. Edelenbosch Netherlands
Heather L. MacLean Canada
Marilyn A. Brown United States
Huibin Du China
Rawshan Ara Begum Malaysia
Troy R. Hawkins United States
Inês L. Azevedo relative to David McCollum Austria David McCollum's profile →
Citations per field
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Citations per year

Countries citing papers authored by Inês L. Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Inês L. Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inês L. Azevedo. 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 Inês L. Azevedo. The network helps show where Inês L. Azevedo may publish in the future.

Co-authorship network of co-authors of Inês L. Azevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Inês L. Azevedo. A scholar is included among the top collaborators of Inês L. Azevedo 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 Inês L. Azevedo. Inês L. Azevedo 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
#WorkIndexed citations
1 1
2 4
3 7
4 2
5 22
6 26
7 5
8 7
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Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoptionbreakdown →
183
10 18
11 38
12
Global food system emissions could preclude achieving the 1.5° and 2°C climate change targetsbreakdown →
690
13 105
14 27
15 13
16 6
17 51
18 51
19
Rethinking the Social Cost of Carbon Dioxide
14
20 31

About Inês L. Azevedo

Inês L. Azevedo is a scholar working on Renewable Energy, Sustainability and the Environment, Pollution and Health, Toxicology and Mutagenesis, having authored 117 papers that have together received 5.2k indexed citations. Recurring topics across this work include Energy, Environment, and Transportation Policies (43 papers), Air Quality and Health Impacts (21 papers) and Energy and Environment Impacts (21 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.6k citations), Automotive Engineering (878 citations) and Environmental Engineering (826 citations). Inês L. Azevedo has collaborated with scholars based in United States, Portugal and Israel. Frequent co-authors include M. Granger Morgan, Brinda A. Thomas, Kyle Siler-Evans, Nathaniel Horner, Jason Hill, Sumil K Thakrar, Michael Clark, John Lynch, David Tilman and Arman Shehabi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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