F.R. Quant

1.7k citations
14 papers · 1.2k · h-index 11

Impact in

Papers in

F.R. Quant

14 papers receiving 1.1k citations

Peers

F.R. Quant
Comparison fields: 5 of 89
  • Atmospheric Science 794
  • Health, Toxicology and Mutagenesis 505
  • Global and Planetary Change 523
  • Environmental Engineering 218
  • Water Science and Technology 132
Replace Kensei Ehara with:
Kensei Ehara Japan
Gilmore J. Sem United States
Shih Chen Wang United States
K.‐H. Naumann Germany
Kenjiro Iida Japan
Jacob Scheckman United States
A. G. Sutugin Russia
Jonathan P. R. Symonds United Kingdom
Eugene Mikhailov Russia
Joonas Vanhanen Finland
F.R. Quant relative to Kensei Ehara Japan Kensei Ehara's profile →
Citations per field
00.5×1.5×1.8×
Kensei Ehara · 1×
Citations per year

Countries citing papers authored by F.R. Quant

Since Specialization
Citations

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

Fields of papers citing papers by F.R. Quant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.R. Quant. 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 F.R. Quant. The network helps show where F.R. Quant may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1996408
2 1998271
3 1997187
4 2005169
5 199255
6 200638
7 200831
8 200020
9 199618
10 199715
11 199613
12 19828
13 19937
14 20001

About F.R. Quant

F.R. Quant is a scholar working on Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis, Computational Mechanics, Environmental Engineering and Atmospheric Science, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (4 papers), Cyclone Separators and Fluid Dynamics (4 papers), Atmospheric aerosols and clouds (3 papers), Atmospheric chemistry and aerosols (3 papers), Coagulation and Flocculation Studies (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Air Quality and Health Impacts (3 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Atmospheric Science (794 citations), Health, Toxicology and Mutagenesis (505 citations), Global and Planetary Change (523 citations), Environmental Engineering (218 citations) and Water Science and Technology (132 citations). F.R. Quant has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gilmore J. Sem, Peter Hairston, Jim Ho, David Y.H. Pui, Detlef Hummes, H. Fißan, Derek R. Oberreit, Susanne V. Hering, Patricia B. Keady and Mark R. Stolzenburg. Their work appears in journals such as Journal of Aerosol Science, Aerosol Science and Technology, Journal of Atmospheric and Oceanic Technology, Journal of Nanoparticle Research and Environment International.

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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