Ben Mills

3.7k total citations
166 papers, 2.7k citations indexed

About

Ben Mills is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Ben Mills has authored 166 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Mechanical Engineering, 64 papers in Biomedical Engineering and 44 papers in Computational Mechanics. Recurrent topics in Ben Mills's work include Advanced machining processes and optimization (44 papers), Laser Material Processing Techniques (41 papers) and Advanced Surface Polishing Techniques (38 papers). Ben Mills is often cited by papers focused on Advanced machining processes and optimization (44 papers), Laser Material Processing Techniques (41 papers) and Advanced Surface Polishing Techniques (38 papers). Ben Mills collaborates with scholars based in United Kingdom, Brazil and Greece. Ben Mills's co-authors include James A. Grant‐Jacob, W. Brian Rowe, R.W. Eason, H.S. Qi, S. C. E. Black, Mark J. Jackson, Daniel J. Heath, Michael N. Morgan, A.H. Redford and Mark J. Jackson and has published in prestigious journals such as Nature, Nano Letters and Applied Physics Letters.

In The Last Decade

Ben Mills

152 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Mills United Kingdom 30 1.5k 1.3k 684 528 496 166 2.7k
Shuting Lei United States 33 2.0k 1.4× 1.4k 1.1× 883 1.3× 861 1.6× 518 1.0× 141 3.4k
Ping Zhou China 29 912 0.6× 1.1k 0.8× 1.3k 1.9× 279 0.5× 737 1.5× 184 2.7k
Lijun Yang China 34 2.1k 1.4× 910 0.7× 772 1.1× 974 1.8× 1.1k 2.1× 234 3.8k
Jianfu Zhang China 30 2.5k 1.7× 1.7k 1.3× 1.4k 2.1× 311 0.6× 526 1.1× 246 3.7k
J. Lawrence United Kingdom 33 1.3k 0.9× 1.0k 0.8× 351 0.5× 967 1.8× 677 1.4× 215 3.6k
D.A. Lucca United States 33 2.5k 1.7× 2.3k 1.7× 1.2k 1.8× 688 1.3× 1.5k 3.1× 108 4.5k
C.H. Wong Singapore 34 1.8k 1.2× 717 0.5× 484 0.7× 280 0.5× 1.8k 3.5× 100 3.9k
Ludger Overmeyer Germany 26 1.6k 1.1× 795 0.6× 856 1.3× 693 1.3× 307 0.6× 335 3.2k
Simone Carmignato Italy 35 2.9k 2.0× 2.3k 1.7× 496 0.7× 426 0.8× 498 1.0× 188 5.5k
Todd H. Weisgraber United States 16 2.0k 1.3× 1.6k 1.2× 265 0.4× 278 0.5× 550 1.1× 36 3.9k

Countries citing papers authored by Ben Mills

Since Specialization
Citations

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

Fields of papers citing papers by Ben Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Mills

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Mills. A scholar is included among the top collaborators of Ben Mills 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 Ben Mills. Ben Mills 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.
2.
Liu, Yuchen, et al.. (2025). Selective laser cleaning of microbeads using deep learning. Scientific Reports. 15(1). 15160–15160.
3.
Mills, Ben, Michalis N. Zervas, & James A. Grant‐Jacob. (2025). Diatom Lensless Imaging Using Laser Scattering and Deep Learning. ACS ES&T Water. 5(4). 1814–1820. 1 indexed citations
4.
Mills, Ben, Michalis N. Zervas, & James A. Grant‐Jacob. (2025). Pollen image manipulation and projection using latent space. Frontiers in Plant Science. 16. 1539128–1539128.
5.
Mills, Ben, Michalis N. Zervas, & James A. Grant‐Jacob. (2024). Imaging pollen using a Raspberry Pi and LED with deep learning. The Science of The Total Environment. 955. 177084–177084.
6.
Xie, Yunhui, Ben Mills, Yuchen Liu, et al.. (2024). Single-step phase identification and phase locking for coherent beam combination using deep learning. Scientific Reports. 14(1). 7501–7501. 4 indexed citations
7.
Bek, Roman, Michael Jetter, Peter Michler, et al.. (2023). Bi-frequency operation in a membrane external-cavity surface-emitting laser. PLoS ONE. 18(7). e0289223–e0289223. 4 indexed citations
8.
Grant‐Jacob, James A., Michalis N. Zervas, & Ben Mills. (2022). Morphology exploration of pollen using deep learning latent space. ePrints Soton (University of Southampton). 3(4). 44602–44602. 4 indexed citations
9.
Grant‐Jacob, James A., Matthew Praeger, Matthew Loxham, R.W. Eason, & Ben Mills. (2021). Determination of size of urban particulates from occluded scattering patterns using deep learning and data augmentation. Environmental Research Communications. 3(2). 25003–25003. 1 indexed citations
10.
Xie, Yunhui, Matthew Praeger, James A. Grant‐Jacob, et al.. (2020). Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. 46–53. 1 indexed citations
11.
Grant‐Jacob, James A., Matthew Praeger, Matthew Loxham, R.W. Eason, & Ben Mills. (2020). Lensless imaging of pollen grains at three-wavelengths using deep learning. Environmental Research Communications. 2(7). 75005–75005. 17 indexed citations
12.
Grant‐Jacob, James A., Saurabh Jain, Yunhui Xie, et al.. (2019). Fibre-optic based particle sensing via deep learning. Journal of Physics Photonics. 1(4). 44004–44004. 19 indexed citations
13.
Grant‐Jacob, James A., Yunhui Xie, Matthew Praeger, et al.. (2019). Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi. Environmental Research Communications. 1(3). 35001–35001. 25 indexed citations
14.
Grant‐Jacob, James A., Yunhui Xie, Daniel J. Heath, et al.. (2019). A neural lens for super-resolution biological imaging. Journal of Physics Communications. 3(6). 65004–65004. 18 indexed citations
15.
Heath, Daniel J., et al.. (2014). Laser induced forward transfer of shaped solid polymer donors using a beam spatially modulated via a digital multimirror device. ePrints Soton (University of Southampton).
16.
Eason, R.W., et al.. (2014). Digital micromirror devices for laser-based manufacturing. ePrints Soton (University of Southampton). 401(10392). 1924–1925. 1 indexed citations
17.
Sones, C.L., Ioannis Katis, Peijun He, et al.. (2014). Laser-induced photo-polymerisation for creation of paper-based fluidic devices. Lab on a Chip. 14(23). 4567–4574. 63 indexed citations
18.
Grant‐Jacob, James A., Ben Mills, Thomas Butcher, et al.. (2011). Gas jet structure influence on high harmonic generation. Optics Express. 19(10). 9801–9801. 4 indexed citations
19.
Robinson, Mark, et al.. (2003). Micromachining high chromium content steels under controlled gas atmospheres. Journal of Manufacturing Processes. 5(2). 106–117. 1 indexed citations
20.
Mills, Ben. (1980). Effect of residual elements on the machinability of leaded free machining steels. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 295(1413). 87–88. 2 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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