Kamma Raunkjær

949 citations
9 papers · 785 indexed · 1 hit paper · h-index 6

Kamma Raunkjær

9 papers receiving 737 citations

Hit Papers

Measurement of pools of protein, carbohydrate and lipid i...5301994202620042015100200300400500

Peers

Kamma Raunkjær
Comparison fields: 5 of 86
  • Process Chemistry and Technology 118
  • Pollution 422
  • Water Science and Technology 307
  • Industrial and Manufacturing Engineering 180
  • Environmental Engineering 127
Replace James C. Young with:
James C. Young United States
Ellen M. van Voorthuizen Netherlands
Theo Syrto Octavio de Souza Brazil
S. Villaverde Spain
Werner Hegemann Germany
Adile Evren Tuğtaş Türkiye
Jianwei Liu China
G. Mori Italy
Jacques Manem France
Inge De Bo Belgium
Kamma Raunkjær relative to James C. Young United States James C. Young's profile →
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Citations per year

Countries citing papers authored by Kamma Raunkjær

Since Specialization
Citations

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

Fields of papers citing papers by Kamma Raunkjær

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Kamma Raunkjær, 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 Kamma Raunkjær Line = papers co-authored together Kamma Raunkjær links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199834
2 199725
3
Volatile Fatty Acids in Pressure Mains
19952
4 199561
5 199517
6
Characterization and Transformation of Wastewater Organic Matter in Sewer Systems
19945
7
Measurement of pools of protein, carbohydrate and lipid in domestic wastewaterbreakdown →
1994530
8
Transportation of Wastewater in Sewer System:a Review
19923
9 1992108

About Kamma Raunkjær

Kamma Raunkjær is a scholar working on Process Chemistry and Technology, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 9 papers that have together received 785 indexed citations. Recurring topics across this work include Odor and Emission Control Technologies (5 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Water Quality Monitoring Technologies (3 papers), Water Quality Monitoring and Analysis (3 papers), Urban Stormwater Management Solutions (2 papers), Membrane Separation Technologies (2 papers), Water Treatment and Disinfection (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Process Chemistry and Technology (118 citations), Pollution (422 citations) and Water Science and Technology (307 citations). Kamma Raunkjær has collaborated with scholars based in Denmark. Frequent co-authors include Thorkild Hvitved‐Jacobsen, Per Halkjær Nielsen, Niels A. Jensen, P. H. Nielsen and Niels-Henrik Norsker. Their work appears in journals such as Water Research, Water Science & Technology and Water Environment Research.

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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