Daniel J. Williams

588 citations
29 papers · 445 · h-index 11

Impact in

Papers in

Daniel J. Williams

29 papers receiving 412 citations

Peers

Daniel J. Williams
Comparison fields: 5 of 77
  • Health, Toxicology and Mutagenesis 192
  • Pollution 69
  • Industrial and Manufacturing Engineering 35
  • Water Science and Technology 53
  • Environmental Engineering 53
Replace Chun‐Chin Wang with:
Chun‐Chin Wang Taiwan
Nan Wei China
Ji Hu China
Recep Kaya Göktaş Türkiye
Yupeng Zhang China
Stephan Christel Sweden
Youda Huang China
Joshua Sackett United States
Junfeng Wei China
Huang Min-sheng China
Daniel J. Williams relative to Chun‐Chin Wang Taiwan Chun‐Chin Wang's profile →
Citations per field
00.5×1.5×2.3×
Chun‐Chin Wang · 1×
Citations per year

Countries citing papers authored by Daniel J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Williams. 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 Daniel J. Williams. The network helps show where Daniel J. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200186
2 199877
3 202054
4 200030
5 200522
6 202121
7 201320
8 200919
9 201116
10 200210
11 200810
12 20208
13 20188
14 20208
15 20108
16 19948
17 20026
18 20235
19 20234
20 20044

About Daniel J. Williams

Daniel J. Williams is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Environmental Engineering, Molecular Biology and Ecology, having authored 29 papers that have together received 445 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (9 papers), Chemical Analysis and Environmental Impact (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Vibrio bacteria research studies (2 papers), Water Quality and Pollution Assessment (2 papers), Heavy metals in environment (2 papers) and Constructed Wetlands for Wastewater Treatment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (192 citations), Pollution (69 citations), Industrial and Manufacturing Engineering (35 citations), Water Science and Technology (53 citations) and Environmental Engineering (53 citations). Daniel J. Williams has collaborated with scholars based in United States, Ghana and Canada. Frequent co-authors include James W. Brown, Darren A. Lytle, J. Kirk Harris, Daniel N. Frank, William H. Wallace, Marilyn Owens, Stephen Harmon, Shen‐En Qian, A. Hollinger and Michael R. Schock. Their work appears in journals such as Water Research, New Journal of Chemistry, Environmental Science Water Research & Technology, Journal of Water and Health and American Water Works Association.

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.

Explore authors with similar magnitude of impact