Gary Norris

5.6k citations
108 papers · 4.3k indexed · 2 hit papers · h-index 34

Gary Norris

97 papers receiving 4.1k citations

Hit Papers

Methods for estimating uncertainty in PMF solutions: Exam...5252014202620182022100200300400500

Peers

Gary Norris
Comparison fields: 5 of 130
  • Health, Toxicology and Mutagenesis 2.9k
  • Atmospheric Science 1.8k
  • Environmental Engineering 1.2k
  • Automotive Engineering 659
  • Pollution 601
Replace Ting Fang with:
Ting Fang China
Kaarle Kupiainen Finland
María de Fátima Andrade Brazil
Yuanhang Zhang China
Alan W. Gertler United States
Jesús de la Rosa Spain
Ana M. Sánchez de la Campa Spain
Fúlvio Amato Spain
Patricia A. Mulawa United States
Martijn Schaap Netherlands
Gary Norris relative to Ting Fang China Ting Fang's profile →
Citations per field
00.5×1.5×
Ting Fang · 1×
Citations per year

Countries citing papers authored by Gary Norris

Since Specialization
Citations

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

Fields of papers citing papers by Gary Norris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2019102
2 201840
3 201627
4 201615
5 201522
6 20145
7
Methods for estimating uncertainty in factor analytic solutionsbreakdown →
2014414
8 201271
9 201233
10 20120
11 200912
12 200848
13 200855
14
Pile Group Program for Full Material Modeling and Progressive Failure
20083
15 200231
16 20021
17 200015
18 1999173
19 199910
20 199936

About Gary Norris

Gary Norris is a scholar working on Health, Toxicology and Mutagenesis, Civil and Structural Engineering and Automotive Engineering, having authored 108 papers that have together received 4.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (51 papers), Geotechnical Engineering and Underground Structures (35 papers), Geotechnical Engineering and Soil Stabilization (29 papers), Geotechnical Engineering and Soil Mechanics (28 papers), Atmospheric chemistry and aerosols (27 papers), Vehicle emissions and performance (22 papers), Air Quality Monitoring and Forecasting (18 papers) and Noise Effects and Management (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.9k citations), Atmospheric Science (1.8k citations) and Environmental Engineering (1.2k citations). Gary Norris has collaborated with scholars based in United States, Finland and Ireland. Frequent co-authors include Pentti Paatero, Steve Brown, Shelly I. Eberly, Mohamed Ashour, Matthew S. Landis, Timothy V. Larson, Ronald C. Henry, Lianne Sheppard, Ram Vedantham and Teri Conner. Their work appears in journals such as Atmospheric Environment, Environmental Science & Technology, Journal of Geotechnical and Geoenvironmental Engineering, The Science of The Total Environment and Environmental Health Perspectives.

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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