Jack DeMarco

1.2k citations
17 papers · 913 · h-index 9

Impact in

Papers in

Jack DeMarco

14 papers receiving 715 citations

Peers

Jack DeMarco
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 580
  • Water Science and Technology 302
  • Pollution 195
  • Environmental Chemistry 144
  • Industrial and Manufacturing Engineering 115
Replace Edward G. Means with:
Edward G. Means United States
Benjamin W. Lykins United States
Harish Arora United States
Douglas Owen Finland
B. J. Lloyd United Kingdom
Rajesh Seth Canada
Jeffrey Charrois Australia
Foppe B. DeWalle United States
Douglas D. Drury United States
Aleksandra Magic-Knezev Netherlands
Jack DeMarco relative to Edward G. Means United States Edward G. Means's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jack DeMarco

Since Specialization
Citations

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

Fields of papers citing papers by Jack DeMarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1975346
2 1995228
3 1984151
4 200181
5 199933
6 200318
7 198515
8 196713
9 196710
10 19798
11 19883
12 19883
13 19881
14 20041
15
Prediction of full scale plant performance from pilot columns.
19881
16
Design Data for Organics Removal by Carbon Beds
19781
17
Removal of higher molecular weight organic compounds by the granular activated carbon adsorption unit process.
19880

About Jack DeMarco

Jack DeMarco is a scholar working on Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering, Environmental Chemistry, Water Science and Technology and Pollution, having authored 17 papers that have together received 913 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (7 papers), Water Quality Monitoring and Analysis (5 papers), Environmental Chemistry and Analysis (4 papers), Membrane Separation Technologies (2 papers), Chemical Analysis and Environmental Impact (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (580 citations), Water Science and Technology (302 citations), Pollution (195 citations), Environmental Chemistry (144 citations) and Industrial and Manufacturing Engineering (115 citations). Jack DeMarco has collaborated with scholars based in United States. Frequent co-authors include Joseph G. Jacangelo, Douglas Owen, Stephen J. Randtke, P.R. Wood, Frances Z. Parsons, Gordon G. Robeck, James M. Symons, Alan A. Stevens, J Carswell and Thomas A. Bellar. Their work appears in journals such as American Water Works Association, Journal of Environmental Engineering, Environmental Science & Technology, Carbon and Water Science & Technology Water Supply.

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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