Erik Teinemaa

853 citations
17 papers · 285 · h-index 10

Impact in

Papers in

Erik Teinemaa

17 papers receiving 269 citations

Peers

Erik Teinemaa
Comparison fields: 5 of 60
  • Health, Toxicology and Mutagenesis 172
  • Process Chemistry and Technology 24
  • Atmospheric Science 111
  • Environmental Engineering 78
  • Pollution 48
Replace Maria Cristina Solci with:
Maria Cristina Solci Brazil
Ka Hei Lui Hong Kong
Chin‐Hsing Lai Taiwan
J.E. Howes United States
Darrell W. Joseph United States
Frank Divita United States
Evangelina Ramírez Lara Mexico
David A. Bender United States
Rob Gillett Australia
Yaoxing Wu United States
Erik Teinemaa relative to Maria Cristina Solci Brazil Maria Cristina Solci's profile →
Citations per field
00.5×2.7×
Maria Cristina Solci · 1×
Citations per year

Countries citing papers authored by Erik Teinemaa

Since Specialization
Citations

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

Fields of papers citing papers by Erik Teinemaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201751
2 200938
3 201636
4 201524
5 201523
6 202120
7 200919
8 201918
9 200217
10 200612
11 20007
12 19996
13 20035
14 20023
15 20093
16 20222
17 20021

About Erik Teinemaa

Erik Teinemaa is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Automotive Engineering, Global and Planetary Change and Analytical Chemistry, having authored 17 papers that have together received 285 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Toxic Organic Pollutants Impact (6 papers), Atmospheric chemistry and aerosols (5 papers), Vehicle emissions and performance (3 papers), Radioactive element chemistry and processing (3 papers), Atmospheric Ozone and Climate (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (172 citations), Process Chemistry and Technology (24 citations), Atmospheric Science (111 citations), Environmental Engineering (78 citations) and Pollution (48 citations). Erik Teinemaa has collaborated with scholars based in Estonia, Switzerland and United States. Frequent co-authors include Marek Maasikmets, Uuve Kirso, Urs Baltensperger, Andrê S. H. Prévôt, Carlo Bozzetti, Jay G. Slowik, Miriam Elser, R. Richter, Robert Wolf and Richard M. Kamens. Their work appears in journals such as Polycyclic aromatic compounds, Atmospheric chemistry and physics, Atmospheric Environment, Oil Shale and Atmospheric Pollution Research.

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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