D. Jenkins

4.6k total citations
108 papers, 3.8k citations indexed

About

D. Jenkins is a scholar working on Organic Chemistry, Pollution and Fluid Flow and Transfer Processes. According to data from OpenAlex, D. Jenkins has authored 108 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Organic Chemistry, 23 papers in Pollution and 19 papers in Fluid Flow and Transfer Processes. Recurrent topics in D. Jenkins's work include Surfactants and Colloidal Systems (45 papers), Wastewater Treatment and Nitrogen Removal (22 papers) and Rheology and Fluid Dynamics Studies (16 papers). D. Jenkins is often cited by papers focused on Surfactants and Colloidal Systems (45 papers), Wastewater Treatment and Nitrogen Removal (22 papers) and Rheology and Fluid Dynamics Studies (16 papers). D. Jenkins collaborates with scholars based in Singapore, United States and United Kingdom. D. Jenkins's co-authors include Kam Chiu Tam, David R. Bassett, V. Tirtaatmadja, Mitchell A. Winnik, Denny Parker, Sheng Dai, Saad A. Khan, Liang Guo, Robert J. English and Valter Tandoi and has published in prestigious journals such as The Lancet, The Journal of Physical Chemistry B and Water Research.

In The Last Decade

D. Jenkins

106 papers receiving 3.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Jenkins Singapore 38 1.8k 759 682 574 562 108 3.8k
Artur J. M. Valente Portugal 39 1.3k 0.7× 540 0.7× 344 0.5× 1.4k 2.4× 681 1.2× 277 6.3k
Tjoon Tow Teng Malaysia 39 910 0.5× 273 0.4× 699 1.0× 664 1.2× 135 0.2× 128 5.2k
M. Teresa García Spain 42 2.6k 1.4× 652 0.9× 101 0.1× 481 0.8× 121 0.2× 111 6.0k
Anna Zdziennicka Poland 29 1.4k 0.8× 341 0.4× 150 0.2× 452 0.8× 156 0.3× 130 3.0k
Jorg Thöming Germany 37 1.1k 0.6× 201 0.3× 105 0.2× 1.1k 1.9× 194 0.3× 178 6.1k
Ajaya Bhattarai Nepal 29 1.6k 0.9× 133 0.2× 268 0.4× 530 0.9× 117 0.2× 244 3.1k
Tharwat F. Tadros United Kingdom 30 1.6k 0.9× 125 0.2× 223 0.3× 1.3k 2.3× 264 0.5× 95 5.2k
R.J. Wakeman United Kingdom 34 274 0.2× 260 0.3× 111 0.2× 655 1.1× 157 0.3× 131 3.8k
Osman Duman Türkiye 46 1.3k 0.8× 226 0.3× 35 0.1× 1.0k 1.8× 459 0.8× 68 5.7k
Stephen A. Leharne United Kingdom 27 880 0.5× 261 0.3× 70 0.1× 401 0.7× 119 0.2× 86 2.2k

Countries citing papers authored by D. Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by D. Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Jenkins

This figure shows the co-authorship network connecting the top 25 collaborators of D. Jenkins. A scholar is included among the top collaborators of D. Jenkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Jenkins. D. Jenkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murray, Suzanne, et al.. (2011). International challenges without borders: a descriptive study of family physicians' educational needs in the field of diabetes. BMC Family Practice. 12(1). 27–27. 10 indexed citations
2.
Schroter, Sara, et al.. (2011). Evaluation of an online interactive Diabetes Needs Assessment Tool (DNAT) versus online self-directed learning: a randomised controlled trial. BMC Medical Education. 11(1). 35–35. 16 indexed citations
3.
Radke, Clayton J., et al.. (2010). The Role of Dispersed Nocardioform Filaments in Activated Sludge Foaming. Water Environment Research. 82(6). 483–491. 3 indexed citations
4.
Schroter, Sara, et al.. (2009). Evaluation of an online Diabetes Needs Assessment Tool (DNAT) for health professionals: a randomised controlled trial. Trials. 10(1). 63–63. 6 indexed citations
5.
Gray, Gordon, et al.. (2000). Quality of Root-End Preparations Using Ultrasonic and Rotary Instrumentation in Cadavers. Journal of Endodontics. 26(5). 281–283. 41 indexed citations
6.
Araújo, Elmo S., Yahya Rharbi, Xiaoyu Huang, et al.. (2000). Pyrene Excimer Kinetics in Micellelike Aggregates in a C20-HASE Associating Polymer. Langmuir. 16(23). 8664–8671. 19 indexed citations
7.
Guo, Liang, Kam Chiu Tam, & D. Jenkins. (1998). Effects of salt on the intrinsic viscosity of model alkali-soluble associative polymers. Macromolecular Chemistry and Physics. 199(6). 1175–1184. 72 indexed citations
8.
Rharbi, Yahya, et al.. (1998). Dissolution behavior in water of a model hydrophobic alkali-swellable emulsion (HASE) polymer with C20H41 groups. Canadian Journal of Chemistry. 76(11). 1779–1787. 20 indexed citations
9.
Ekama, GA, et al.. (1996). Filamentous organism bulking in nutrient removal activated sludge systems. Paper 5: Experimental examination of aerobic selectors in anoxic-aerobic systems. Water SA. 22(2). 139–146. 5 indexed citations
10.
Jenkins, D., David R. Bassett, C. A. Silebi, & Mohamed S. El‐Aasser. (1995). Synthesis and characterization of model associative polymers. Journal of Applied Polymer Science. 58(2). 209–230. 31 indexed citations
11.
Pitt, Paul & D. Jenkins. (1990). Causes and control of Nocardia in activated sludge.. Journal of Water Pollution Control Federation. 62(2). 143–150. 76 indexed citations
12.
Jenkins, D., et al.. (1989). Fate of the detergent builder, sodium polyglyoxylate, in wastewater treatment. Journal of Water Pollution Control Federation. 61(4). 491–499.
13.
Jenkins, D., et al.. (1987). The competitive growth of Zoogloea ramigera and type 021N in activated sludge and pure culture ― a model for low F: M bulking. Journal of Water Pollution Control Federation. 59(5). 262–273. 37 indexed citations
14.
Richard, Michael G., et al.. (1985). The growth physiology of the filamentous organism type 021N and its significance to activated sludge bulking. Journal of Water Pollution Control Federation. 57(12). 1152–1162. 30 indexed citations
15.
Strom, Peter F., et al.. (1984). Growth kinetics of Sphaerotilus natans and a floc former in pure and dual continuous culture. Journal of Water Pollution Control Federation. 56(1). 41–51. 36 indexed citations
16.
Jenkins, D., et al.. (1980). Bulking, deflocculation and pinpoint floc. Journal of Water Pollution Control Federation. 52. 622–624. 20 indexed citations
17.
Jenkins, D., et al.. (1980). Relationship between organic loading, dissolved oxygen concentration and sludge settleability in the completely-mixed activated sludge process.. Journal of Water Pollution Control Federation. 132 indexed citations
18.
Jenkins, D., et al.. (1978). Power plant cooling water chlorination in northern California. 4 indexed citations
19.
Jenkins, D., et al.. (1978). Unified theory of filamentous activated sludge bulking. 24(15-16). 71–6. 172 indexed citations
20.
Klein, Stephen A., et al.. (1974). An Evaluation of the Accumulation, Translocation, and Degradation of Pesticides at Land Wastewater Disposal Sites.. Defense Technical Information Center (DTIC). 1 indexed citations

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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