Mary Williamson

1.2k citations
12 papers · 479 · h-index 8

Impact in

Papers in

Mary Williamson

12 papers receiving 457 citations

Peers

Mary Williamson
Comparison fields: 5 of 80
  • Environmental Chemistry 307
  • Health, Toxicology and Mutagenesis 324
  • Atmospheric Science 218
  • Pollution 39
  • Industrial and Manufacturing Engineering 18
Replace G. J. A. Hunter with:
G. J. A. Hunter United Kingdom
Yu Lin Taiwan
Erin Lane Canada
Dunping Cao United States
Håkon A. Langberg Norway
Shucheng Zheng China
Yuting Zhu China
Guohui Shi China
Shaza Gaballah United States
Glenn Ferguson Canada
Mary Williamson relative to G. J. A. Hunter United Kingdom G. J. A. Hunter's profile →
Citations per field
00.5×8.5×
G. J. A. Hunter · 1×
Citations per year

Countries citing papers authored by Mary Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Mary Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011161
2 2015158
3 202134
4 199430
5 202329
6 201229
7 201511
8 195210
9 19536
10 19976
11 20244
12 19521

About Mary Williamson

Mary Williamson is a scholar working on Health, Toxicology and Mutagenesis, Artificial Intelligence, Environmental Chemistry, Cellular and Molecular Neuroscience and Pollution, having authored 12 papers that have together received 479 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (5 papers), Per- and polyfluoroalkyl substances research (3 papers), Natural Language Processing Techniques (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Atmospheric chemistry and aerosols (2 papers), Topic Modeling (2 papers), Recycling and Waste Management Techniques (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Environmental Chemistry (307 citations), Health, Toxicology and Mutagenesis (324 citations), Atmospheric Science (218 citations), Pollution (39 citations) and Industrial and Manufacturing Engineering (18 citations). Mary Williamson has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Derek C. G. Muir, Amila O. De Silva, Xiaowa Wang, Christine Spencer, Gretchen L. Lescord, Karen A. Kidd, Sharon P. Katz, Claudia Müller, Mary Gamberg and Jeff Small. Their work appears in journals such as Environmental Science & Technology, Environmental Toxicology and Chemistry, Journal of the Learning Sciences, Annals of the New York Academy of Sciences and Journal of Biological Chemistry.

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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