Ivan L. Gee

49 papers receiving 832 citations

Peers

Ivan L. Gee
Comparison fields: 5 of 112
  • Health, Toxicology and Mutagenesis 445
  • Automotive Engineering 161
  • Environmental Engineering 168
  • Speech and Hearing 59
  • Atmospheric Science 175
Replace G. Wölke with:
G. Wölke Germany
Sonja N. Sax United States
Inga Mills United Kingdom
Regula Rapp Switzerland
Ario Ruprecht Italy
J. R. Brook Canada
Shi Shu United States
Maggie L. Clark United States
Michael Lipsett United States
Hansjörg Sommer Switzerland
Ivan L. Gee relative to G. Wölke Germany G. Wölke's profile →
Citations per field
00.5×2×4×6×8.1×
G. Wölke · 1×
Citations per year

Countries citing papers authored by Ivan L. Gee

Since Specialization
Citations

This map shows the geographic impact of Ivan L. 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 L. 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 L. Gee more than expected).

Fields of papers citing papers by Ivan L. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan L. 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 L. Gee Line = papers co-authored together Ivan L. 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 1995126
3 200673
4 199959
5 199449
6 201744
7 201037
8 200533
9 202033
10 200327
11 202118
12 201817
13 202117
14 201217
15 202317
16 201616
17 199615
18 200615
19 200513
20 20059

About Ivan L. Gee

Ivan L. Gee is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Physiology, Applied Psychology and Automotive Engineering, having authored 50 papers that have together received 890 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (14 papers), Smoking Behavior and Cessation (11 papers), Noise Effects and Management (10 papers), Indoor Air Quality and Microbial Exposure (9 papers), Vehicle emissions and performance (4 papers), Behavioral Health and Interventions (3 papers), Reservoir Engineering and Simulation Methods (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (445 citations), Automotive Engineering (161 citations), Environmental Engineering (168 citations), Speech and Hearing (59 citations) and Atmospheric Science (175 citations). Ivan L. Gee has collaborated with scholars based in United Kingdom, Brazil and Indonesia. Frequent co-authors include Christopher J. Sollars, Roger Perry, Adrian F. R. Watson, David W. Raper, R. Perry, Catherine Pritchard, G Tavernier, Robert McL. Niven, Paula Mary Watson and Sean E Semple. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Science of The Total Environment, Psychology and Health, Health Promotion International and Disability and Rehabilitation.

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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