David Ikumi

817 citations
31 papers · 561 · h-index 13

Impact in

Papers in

    • Wastewater Treatment and Nitrogen Removal 20
    • Constructed Wetlands for Wastewater Treatment 8
    • Wastewater Treatment and Reuse 5
    • Water Quality Monitoring and Analysis 4
    • Phosphorus and nutrient management 4

David Ikumi

29 papers receiving 547 citations

Peers

David Ikumi
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 240
  • Pollution 270
  • Water Science and Technology 236
  • Building and Construction 84
  • Environmental Engineering 58
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Countries citing papers authored by David Ikumi

Since Specialization
Citations

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

Fields of papers citing papers by David Ikumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017101
2 201566
3 202447
4 201442
5 201841
6 202036
7 202236
8 202131
9 202124
10 202224
11 202216
12 202214
13 201913
14 202210
15 20189
16 20228
17
Towards BSM2-GPS-X: A plant-wide benchmark simulation model not only for carbon and nitrogen, but also for greenhouse gases (G), phosphorus (P), sulphur (S) and micropollutants (X), all within the fence of WWTPs/WRRFs
20148
18 20207
19 20246
20 20244

About David Ikumi

David Ikumi is a scholar working on Pollution, Industrial and Manufacturing Engineering, Water Science and Technology, Health, Toxicology and Mutagenesis and Building and Construction, having authored 31 papers that have together received 561 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (20 papers), Membrane Separation Technologies (8 papers), Constructed Wetlands for Wastewater Treatment (8 papers), Wastewater Treatment and Reuse (5 papers), Anaerobic Digestion and Biogas Production (4 papers), Water Quality Monitoring and Analysis (4 papers), Phosphorus and nutrient management (4 papers) and Water-Energy-Food Nexus Studies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (240 citations), Pollution (270 citations), Water Science and Technology (236 citations), Building and Construction (84 citations) and Environmental Engineering (58 citations). David Ikumi has collaborated with scholars based in South Africa, Belgium and Denmark. Frequent co-authors include Peter A. Vanrolleghem, George A. Ekama, Abhishek Dutta, GA Ekama, Xavier Flores‐Alsina, Krist V. Gernaey, Damien J. Batstone, Moses Basitere, Ulf Jeppsson and Kimberly Solon. Their work appears in journals such as Water Research, Journal of Water Process Engineering, Water Science & Technology, Water and Ecotoxicology and Environmental Safety.

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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