Eva Merico

1.4k citations
30 papers · 1.1k · h-index 18

Impact in

Papers in

Eva Merico

29 papers receiving 1.1k citations

Peers

Eva Merico
Comparison fields: 5 of 66
  • Health, Toxicology and Mutagenesis 669
  • Environmental Engineering 630
  • Atmospheric Science 709
  • Automotive Engineering 388
  • Global and Planetary Change 152
Replace S. Hanayama with:
S. Hanayama Italy
Eleonora Cuccia Italy
Fabio Massimo Grasso Italy
Luolin Wu China
Yuanqian Xu China
Rodolfo Sosa Echeverría Mexico
Saúl García dos Santos Spain
Uwayemi M. Sofowote Canada
Ulrike Doering Italy
Joana Leitão Germany
Eva Merico relative to S. Hanayama Italy S. Hanayama's profile →
Citations per field
00.5×8.9×
S. Hanayama · 1×
Citations per year

Countries citing papers authored by Eva Merico

Since Specialization
Citations

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

Fields of papers citing papers by Eva Merico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Merico. 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 Eva Merico. The network helps show where Eva Merico may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Merico, 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 Eva Merico Line = papers co-authored together Eva Merico links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017159
2 201699
3 201699
4 201482
5 202165
6 201962
7 201462
8 202361
9 201954
10 201950
11 201746
12 201929
13 202228
14 201826
15 202125
16 202021
17 202021
18 202020
19 202017
20 202113

About Eva Merico

Eva Merico is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Automotive Engineering and Global and Planetary Change, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (27 papers), Air Quality and Health Impacts (18 papers), Vehicle emissions and performance (12 papers), Maritime Transport Emissions and Efficiency (11 papers), Air Quality Monitoring and Forecasting (7 papers), Atmospheric aerosols and clouds (4 papers), Atmospheric Ozone and Climate (3 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (669 citations), Environmental Engineering (630 citations), Atmospheric Science (709 citations), Automotive Engineering (388 citations) and Global and Planetary Change (152 citations). Eva Merico has collaborated with scholars based in Italy, Croatia and Spain. Frequent co-authors include Daniele Contini, Daniela Cesari, Adelaide Dinoi, Antonio Donateo, Andrea Gambaro, Fabio Massimo Grasso, Marianna Conte, Elena Gregoris, Paolo Bonasoni and Angela Marinoni. Their work appears in journals such as Atmosphere, Atmospheric Pollution Research, The Science of The Total Environment, Atmospheric Research and Atmospheric Environment.

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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