Jonathan M. Dodds

480 total citations
22 papers, 408 citations indexed

About

Jonathan M. Dodds is a scholar working on Materials Chemistry, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Jonathan M. Dodds has authored 22 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Environmental Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Jonathan M. Dodds's work include Graphite, nuclear technology, radiation studies (7 papers), Environmental Impact and Sustainability (5 papers) and Nuclear and radioactivity studies (5 papers). Jonathan M. Dodds is often cited by papers focused on Graphite, nuclear technology, radiation studies (7 papers), Environmental Impact and Sustainability (5 papers) and Nuclear and radioactivity studies (5 papers). Jonathan M. Dodds collaborates with scholars based in United Kingdom, Australia and United States. Jonathan M. Dodds's co-authors include Lian R. Hutchings, Solomon M. Kimani, Nigel Clarke, Paola Lettieri, Andrea Paulillo, Jun Jie Wu, David Dennis, Roland Clift, Robert J. Poole and Henry C.-H. Ng and has published in prestigious journals such as The Science of The Total Environment, Journal of Fluid Mechanics and Macromolecules.

In The Last Decade

Jonathan M. Dodds

21 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Dodds United Kingdom 11 206 198 87 69 62 22 408
Yoshihiro Sugimura Japan 13 217 1.1× 69 0.3× 114 1.3× 20 0.3× 10 0.2× 50 508
Pengyuan Zhang China 9 25 0.1× 79 0.4× 157 1.8× 19 0.3× 122 2.0× 18 341
Xiao Deng Saudi Arabia 12 67 0.3× 91 0.5× 66 0.8× 8 0.1× 40 0.6× 24 541
James Coons United States 14 40 0.2× 40 0.2× 162 1.9× 20 0.3× 20 0.3× 21 498
J. Springer Germany 4 91 0.4× 42 0.2× 89 1.0× 11 0.2× 44 0.7× 9 362
Swati Bhargava United States 7 131 0.6× 104 0.5× 89 1.0× 8 0.1× 15 0.2× 11 353
Chong Lin China 19 45 0.2× 264 1.3× 72 0.8× 8 0.1× 28 0.5× 53 838
Lei Jong United States 17 429 2.1× 37 0.2× 80 0.9× 16 0.2× 9 0.1× 47 942
Chao Bian China 11 60 0.3× 179 0.9× 100 1.1× 8 0.1× 14 0.2× 28 363
Tao Guan China 13 127 0.6× 86 0.4× 171 2.0× 10 0.1× 35 0.6× 22 515

Countries citing papers authored by Jonathan M. Dodds

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Dodds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Dodds. 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 Jonathan M. Dodds. The network helps show where Jonathan M. Dodds may publish in the future.

Co-authorship network of co-authors of Jonathan M. Dodds

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Dodds. A scholar is included among the top collaborators of Jonathan M. Dodds 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 Jonathan M. Dodds. Jonathan M. Dodds 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.
Long, E. J., et al.. (2025). Laser cutting hazards of nuclear infrastructure decommissioning and dismantling. Journal of Laser Applications. 38(1).
2.
Long, E. J., et al.. (2023). Reducing environmental risks in laser cutting: A study of low-pressure gas dynamics. Journal of Laser Applications. 35(4). 3 indexed citations
3.
Dodds, Jonathan M., et al.. (2023). Approximation of hindered zonal settling rates for flocculated inorganic/organic composite suspensions in inertial flow conditions. Journal of Water Process Engineering. 51. 103459–103459. 6 indexed citations
4.
Long, E. J., et al.. (2022). Controlling nozzle and kerf gas dynamics to manage hazardous laser cutting fume. Journal of Laser Applications. 34(4). 3 indexed citations
5.
Dodds, Jonathan M., et al.. (2021). Flow correlations and transport behaviour of turbulent slurries in partially filled pipes. Chemical Engineering Science. 235. 116465–116465. 9 indexed citations
6.
Cheneler, David, Jonathan M. Dodds, Peter Green, et al.. (2021). Radiation testing of low cost, commercial off the shelf microcontroller board. Nuclear Engineering and Technology. 53(10). 3335–3343. 5 indexed citations
7.
Paulillo, Andrea, et al.. (2020). The environmental impacts of reprocessing used nuclear fuels: A UK case study. Sustainable materials and technologies. 25. e00186–e00186. 19 indexed citations
8.
Paulillo, Andrea, et al.. (2019). Radiological impacts in Life Cycle Assessment – Part II: Comparison of methodologies. The Science of The Total Environment. 708. 134712–134712. 7 indexed citations
9.
Paulillo, Andrea, et al.. (2019). Radiological impacts in Life Cycle Assessment. Part I: General framework and two practical methodologies. The Science of The Total Environment. 708. 135179–135179. 11 indexed citations
10.
Paulillo, Andrea, et al.. (2019). Data supporting UCrad and CGM, two novel methodologies for radiological impacts in Life Cycle Assessment. Data in Brief. 28. 104857–104857. 7 indexed citations
11.
Dodds, Jonathan M., et al.. (2019). Radionuclide distribution during ytterbium doped fibre laser cutting for nuclear decommissioning. Progress in Nuclear Energy. 118. 103122–103122. 10 indexed citations
12.
Paulillo, Andrea, et al.. (2018). Radiological impact assessment approaches for Life Cycle Assessment: a review and possible ways forward. Environmental Reviews. 26(3). 239–254. 10 indexed citations
13.
Ng, Henry C.-H., et al.. (2018). Partially filled pipes: experiments in laminar and turbulent flow. Journal of Fluid Mechanics. 848. 467–507. 23 indexed citations
14.
Hunter, Timothy N., et al.. (2017). In situ characterization of mixing and sedimentation dynamics in an impinging jet ballast tank via acoustic backscatter. AIChE Journal. 63(7). 2618–2629. 11 indexed citations
15.
Materazzi, Massimiliano, et al.. (2017). X-ray imaging for design of gas nozzles in large scale fluidised bed reactors. Powder Technology. 316. 41–48. 5 indexed citations
16.
Dodds, Jonathan M. & Lian R. Hutchings. (2010). HyperMacs – Highly Branched Network Precursors or Semi‐Interpenetrating Networks?. Macromolecular Symposia. 291-292(1). 26–35. 12 indexed citations
17.
Hutchings, Lian R., et al.. (2009). HyperMacs to HyperBlocks: A Novel Class of Branched Thermoplastic Elastomer. Macromolecules. 42(22). 8675–8687. 74 indexed citations
18.
Clarke, Nigel, et al.. (2008). HyperMacs – long chain hyperbranched polymers: A dramatically improved synthesis and qualitative rheological analysis. European Polymer Journal. 44(3). 665–676. 52 indexed citations
19.
Dodds, Jonathan M., et al.. (2007). Rheological properties of HyperMacs—long‐chain branched analogues of hyperbranched polymers. Journal of Polymer Science Part B Polymer Physics. 45(19). 2762–2769. 34 indexed citations
20.
Hutchings, Lian R., et al.. (2005). HyperMacs:  Highly Branched Polymers Prepared by the Polycondensation of AB2 Macromonomers, Synthesis and Characterization. Macromolecules. 38(14). 5970–5980. 88 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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