Chad Milando

667 citations
34 papers · 409 · h-index 13

Impact in

Papers in

Chad Milando

30 papers receiving 400 citations

Peers

Chad Milando
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 304
  • Environmental Engineering 110
  • Speech and Hearing 52
  • Automotive Engineering 68
  • Chemical Health and Safety 3
Replace H. K. Lai with:
H. K. Lai Hong Kong
Marika Egyed Canada
Carlyn J. Matz Canada
Timothy Barzyk United States
Nina A. Dobbin Canada
Marco Inglessis Italy
Joana Lage Portugal
Juan Pablo Ramos-Bonilla Colombia
Malek Bentayeb France
Liu Sun Canada
Chad Milando relative to H. K. Lai Hong Kong H. K. Lai's profile →
Citations per field
00.5×6.4×
H. K. Lai · 1×
Citations per year

Countries citing papers authored by Chad Milando

Since Specialization
Citations

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

Fields of papers citing papers by Chad Milando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201746
3 201638
4 201931
5 201827
6 201924
7 202420
8 201620
9 202020
10 202215
11 201814
12 201813
13 202213
14 202211
15 201610
16 20248
17 20228
18 20217
19 20216
20
Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.
20205

About Chad Milando

Chad Milando is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Environmental Engineering, Sociology and Political Science and Building and Construction, having authored 34 papers that have together received 409 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (23 papers), Climate Change and Health Impacts (11 papers), Vehicle emissions and performance (9 papers), Building Energy and Comfort Optimization (6 papers), Environmental Justice and Health Disparities (6 papers), Air Quality Monitoring and Forecasting (5 papers), Atmospheric chemistry and aerosols (4 papers) and Noise Effects and Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (304 citations), Environmental Engineering (110 citations), Speech and Hearing (52 citations), Automotive Engineering (68 citations) and Chemical Health and Safety (3 citations). Chad Milando has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stuart Batterman, Sheena E. Martenies, Lexuan Zhong, Jonathan I. Levy, Lei Huang, M. Patricia Fabian, Gregory A. Wellenius, Bhramar Mukherjee, Lindsay J. Underhill and John L. Durant. Their work appears in journals such as Atmospheric Environment, Environment International, International Journal of Environmental Research and Public Health, Environmental Science & Technology and The Science of The Total 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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