John J. Classen

1.3k citations
68 papers · 1.0k · h-index 16

Impact in

Papers in

John J. Classen

61 papers receiving 953 citations

Peers

John J. Classen
Comparison fields: 5 of 108
  • Industrial and Manufacturing Engineering 388
  • Process Chemistry and Technology 88
  • Pollution 221
  • Water Science and Technology 179
  • Health, Toxicology and Mutagenesis 138
Replace Keshav C. Das with:
Keshav C. Das United States
Jactone Arogo Ogejo United States
Wenbing Li China
Yuming Zhong China
Henk J. Lubberding Netherlands
Sandra Tédde Santaella Brazil
Simona Di Gregorio Italy
Irene A. Watson‐Craik United Kingdom
G. Shelef Israel
Zhe Liu China
John J. Classen relative to Keshav C. Das United States Keshav C. Das's profile →
Citations per field
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Keshav C. Das · 1×
Citations per year

Countries citing papers authored by John J. Classen

Since Specialization
Citations

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

Fields of papers citing papers by John J. Classen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001116
2 2002111
3 2000103
4 2002101
5 200947
6 201744
7 200641
8 200538
9 201033
10 200031
11 201330
12 200119
13 201917
14 201617
15 201917
16 200016
17 202015
18 201315
19 201413
20 200013

About John J. Classen

John J. Classen is a scholar working on Industrial and Manufacturing Engineering, Pollution, Water Science and Technology, Process Chemistry and Technology and Health, Toxicology and Mutagenesis, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Phosphorus and nutrient management (11 papers), Constructed Wetlands for Wastewater Treatment (10 papers), Wastewater Treatment and Nitrogen Removal (10 papers), Odor and Emission Control Technologies (8 papers), Air Quality and Health Impacts (7 papers), Adsorption and biosorption for pollutant removal (6 papers), Interdisciplinary Research and Collaboration (4 papers) and Atmospheric chemistry and aerosols (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (388 citations), Process Chemistry and Technology (88 citations), Pollution (221 citations), Water Science and Technology (179 citations) and Health, Toxicology and Mutagenesis (138 citations). John J. Classen has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Jay J. Cheng, Ben A. Bergmann, Michael Price, Gary A. Payne, Jason A. Osborne, A. M. Stomp, Praveen Kolar, James W. Howard, Lalitendu Das and Yuri Yamamoto. Their work appears in journals such as Transactions of the ASABE, Animals, Bioresource Technology, Atmosphere and Sustainability.

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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