Ivan Gee

1.1k citations
50 papers · 868 · h-index 15

Impact in

Papers in

Ivan Gee

48 papers receiving 801 citations

Peers

Ivan Gee
Comparison fields: 5 of 112
  • Health, Toxicology and Mutagenesis 435
  • Automotive Engineering 160
  • Environmental Engineering 168
  • Atmospheric Science 177
  • Speech and Hearing 54
Replace Ario Ruprecht with:
Ario Ruprecht Italy
Kyung Hwa Jung United States
G. Wölke Germany
Inga Mills United Kingdom
Regula Rapp Switzerland
Maggie L. Clark United States
Michael Lipsett United States
Dave K. Verma Canada
H Sommer Switzerland
Shi Shu United States
Ivan Gee relative to Ario Ruprecht Italy Ario Ruprecht's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Gee

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998145
2 1995130
3 200676
4 199959
5 199449
6 201742
7 201037
8 200533
9 202031
10 200326
11 202118
12 202117
13 201817
14 202315
15 199615
16 200614
17 201614
18 200513
19 20238
20 20058

About Ivan Gee

Ivan Gee is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Speech and Hearing, Epidemiology and Automotive Engineering, having authored 50 papers that have together received 868 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Noise Effects and Management (10 papers), Smoking Behavior and Cessation (10 papers), Indoor Air Quality and Microbial Exposure (9 papers), Vehicle emissions and performance (4 papers), Obesity, Physical Activity, Diet (3 papers), Drilling and Well Engineering (3 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (435 citations), Automotive Engineering (160 citations), Environmental Engineering (168 citations), Atmospheric Science (177 citations) and Speech and Hearing (54 citations). Ivan Gee has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include C.J. Sollars, Roger Perry, David Raper, A.F.R. Watson, R. Perry, Catherine Pritchard, G Tavernier, Robert Niven, Paula M. Watson and Peter Frank. Their work appears in journals such as International Journal of Environmental Research and Public Health, Psychology and Health, The Science of The Total Environment, Atmospheric Environment and Indoor Air.

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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