Arantzazu Eiguren-Fernandez

2.1k citations
43 papers · 1.7k indexed · h-index 23

Arantzazu Eiguren-Fernandez

42 papers receiving 1.6k citations

Peers

Arantzazu Eiguren-Fernandez
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 1.1k
  • Modeling and Simulation 147
  • Atmospheric Science 484
  • Automotive Engineering 310
  • Environmental Engineering 311
Replace Arantza Eiguren-Fernández with:
Arantza Eiguren-Fernández United States
Dai-Hua Tsai Taiwan
Alessia Di Gilio Italy
Fatemeh Momeniha Iran
Xinyue Li China
Manisha Singh United States
Altaf Khan India
Jolanda Palmisani Italy
Haris Hafizal Abd Hamid Malaysia
Kabindra M. Shakya United States
Arantzazu Eiguren-Fernandez relative to Arantza Eiguren-Fernández United States Arantza Eiguren-Fernández's profile →
Citations per field
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Arantza Eiguren-Fernández · 1×
Citations per year

Countries citing papers authored by Arantzazu Eiguren-Fernandez

Since Specialization
Citations

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

Fields of papers citing papers by Arantzazu Eiguren-Fernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arantzazu Eiguren-Fernandez. 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 Arantzazu Eiguren-Fernandez. The network helps show where Arantzazu Eiguren-Fernandez may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Arantzazu Eiguren-Fernandez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arantzazu Eiguren-Fernandez Line = papers co-authored together Arantzazu Eiguren-Fernandez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202310
3 20233
4 20232
5 20235
6 202223
7 20217
8 202138
9 202024
10 202074
11 202081
12 20194
13 201724
14 201612
15 20148
16 201361
17 201012
18 201062
19 2009113
20 2007174

About Arantzazu Eiguren-Fernandez

Arantzazu Eiguren-Fernandez is a scholar working on Health, Toxicology and Mutagenesis, Modeling and Simulation and Automotive Engineering, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (24 papers), Infection Control and Ventilation (15 papers), Atmospheric chemistry and aerosols (10 papers), Vehicle emissions and performance (8 papers), COVID-19 epidemiological studies (7 papers), Indoor Air Quality and Microbial Exposure (5 papers), Air Quality Monitoring and Forecasting (5 papers) and Toxic Organic Pollutants Impact (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Modeling and Simulation (147 citations) and Atmospheric Science (484 citations). Arantzazu Eiguren-Fernandez has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Antonio H. Miguel, John R. Froines, William C. Hinds, Arthur K. Cho, Yifang Zhu, Ed Avol, Chang‐Yu Wu, John A. Lednicky, Susanne V. Hering and Debra A. Schmitz. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Hazardous Materials.

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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