Scott Salzman

54 papers receiving 818 citations

Peers

Scott Salzman
Comparison fields: 5 of 114
  • Information Systems and Management 112
  • Pollution 141
  • Industrial and Manufacturing Engineering 96
  • Health, Toxicology and Mutagenesis 141
  • Environmental Chemistry 99
Replace Shiwei Sun with:
Shiwei Sun China
Gerhard Wagner Germany
Munir Ahmed Pakistan
Florian Keil Germany
Klaus Müller Germany
Patric Brandt Germany
Dariush Hayati Iran
Angela Xiao Wu United States
Tom Costello United States
David L. Sunding United States
Scott Salzman relative to Shiwei Sun China Shiwei Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Scott Salzman

Since Specialization
Citations

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

Fields of papers citing papers by Scott Salzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 200585
3 201180
4 201141
5 201240
6 201039
7 201535
8 201234
9 201430
10 201727
11 200926
12 201623
13 201222
14 201118
15 201115
16 200615
17 201014
18 200813
19 201112
20 201911

About Scott Salzman

Scott Salzman is a scholar working on Health, Toxicology and Mutagenesis, Information Systems and Management, Environmental Chemistry, Water Science and Technology and Pollution, having authored 56 papers that have together received 859 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Environmental Toxicology and Ecotoxicology (6 papers), Aquatic Ecosystems and Phytoplankton Dynamics (5 papers), Constructed Wetlands for Wastewater Treatment (5 papers), Blockchain Technology Applications and Security (4 papers), Groundwater and Isotope Geochemistry (4 papers), Water Quality and Pollution Assessment (4 papers) and Heavy metals in environment (4 papers). The work is most often cited by research in Information Systems and Management (112 citations), Pollution (141 citations), Industrial and Manufacturing Engineering (96 citations), Health, Toxicology and Mutagenesis (141 citations) and Environmental Chemistry (99 citations). Scott Salzman has collaborated with scholars based in Australia, Japan and Sri Lanka. Frequent co-authors include Graeme Allinson, Matthew Warren, William Yeoh, Vincent L. Versace, Daniel Ierodiaconou, L Laurenson, Paul L. Jones, Mayumi Allinson, F. Stagnitti and Carla Wilkin. Their work appears in journals such as Environmental Science and Pollution Research, Journal of the Association for Information Systems, Bulletin of Environmental Contamination and Toxicology, Archives of Environmental Contamination and Toxicology and Hydrobiologia.

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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