Mark J. Jackson

2.8k total citations · 1 hit paper
122 papers, 1.9k citations indexed

About

Mark J. Jackson is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mark J. Jackson has authored 122 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Mechanical Engineering, 68 papers in Biomedical Engineering and 55 papers in Electrical and Electronic Engineering. Recurrent topics in Mark J. Jackson's work include Advanced machining processes and optimization (98 papers), Advanced Surface Polishing Techniques (66 papers) and Advanced Machining and Optimization Techniques (51 papers). Mark J. Jackson is often cited by papers focused on Advanced machining processes and optimization (98 papers), Advanced Surface Polishing Techniques (66 papers) and Advanced Machining and Optimization Techniques (51 papers). Mark J. Jackson collaborates with scholars based in United States, Brazil and United Kingdom. Mark J. Jackson's co-authors include Ben Mills, J. Paulo Davim, Michael P. Hitchiner, Leonardo Rosa Ribeiro da Silva, G. M. Robinson, W O’Neill, Álisson Rocha Machado, Waqar Ahmed, Rahul Davis and Abhishek Singh and has published in prestigious journals such as Journal of Applied Physics, Journal of Cleaner Production and Journal of Materials Science.

In The Last Decade

Mark J. Jackson

117 papers receiving 1.8k citations

Hit Papers

A comprehensive review on metallic implant biomaterials a... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Jackson United States 24 1.4k 973 649 403 261 122 1.9k
Biao Zhao China 26 1.8k 1.2× 1.1k 1.1× 682 1.1× 353 0.9× 262 1.0× 141 2.0k
Chengzu Ren China 21 1.2k 0.8× 940 1.0× 553 0.9× 279 0.7× 221 0.8× 46 1.5k
Hanlian Liu China 32 2.3k 1.6× 652 0.7× 390 0.6× 775 1.9× 614 2.4× 137 2.8k
Volodymyr Bushlya Sweden 29 2.1k 1.5× 843 0.9× 817 1.3× 709 1.8× 557 2.1× 134 2.3k
Leonardo Rosa Ribeiro da Silva Brazil 22 1.3k 0.9× 610 0.6× 548 0.8× 351 0.9× 235 0.9× 60 1.5k
Yebing Tian China 24 1.2k 0.8× 1.1k 1.2× 509 0.8× 320 0.8× 115 0.4× 111 1.6k
Zhirong Liao China 30 1.3k 0.9× 456 0.5× 519 0.8× 311 0.8× 125 0.5× 88 2.0k
Hongtao Zhu China 33 1.6k 1.1× 1.2k 1.2× 370 0.6× 760 1.9× 528 2.0× 106 2.6k
Mohammad Sadeghi Iran 20 1.5k 1.1× 729 0.7× 818 1.3× 268 0.7× 325 1.2× 59 1.8k
N. Ramakrishnan India 31 2.4k 1.7× 791 0.8× 818 1.3× 764 1.9× 891 3.4× 100 3.4k

Countries citing papers authored by Mark J. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Jackson. 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 Mark J. Jackson. The network helps show where Mark J. Jackson may publish in the future.

Co-authorship network of co-authors of Mark J. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Jackson. A scholar is included among the top collaborators of Mark J. Jackson 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 Mark J. Jackson. Mark J. Jackson 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.
Oliveira, Déborah de, Rodrigo de Souza Ruzzi, Mark J. Jackson, et al.. (2025). A comprehensive evaluation of the use of graphene enriched cutting fluids on the surface integrity of very poor-grindability materials. Wear. 571. 205811–205811. 4 indexed citations
2.
Oliveira, Déborah de, et al.. (2025). On the use of extremely high feed per tooth as an alternative to reduce size effects during the micro milling of critically low machinability alloy Inconel 718. The International Journal of Advanced Manufacturing Technology. 139(7-8). 3891–3908.
3.
Oliveira, Déborah de, et al.. (2025). Correlation between tool wear and machining temperature in micromilling of Ti-6Al-4V alloy. Wear. 571. 205793–205793. 2 indexed citations
4.
Silva, Márcio Bacci da, et al.. (2023). Workpiece temperature investigation in micromilling of titanium alloy. CIRP journal of manufacturing science and technology. 47. 193–204. 3 indexed citations
5.
Silva, Leonardo Rosa Ribeiro da, et al.. (2023). Dry and MQL Milling of AISI 1045 Steel with Vegetable and Mineral-Based Fluids. Lubricants. 11(4). 175–175. 8 indexed citations
7.
Bianchi, Eduardo Carlos, et al.. (2018). Application of the auxiliary wheel cleaning jet in the plunge cylindrical grinding with Minimum Quantity Lubrication technique under various flow rates. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 233(4). 1144–1156. 48 indexed citations
8.
Silva, Rosemar Batista da, et al.. (2017). The Influence of Cutting Fluid Concentration on Surface Integrity of VP80 Steel and the Influence of Cutting Fluid Flow Rate on Surface Roughness of VPATLAS Steel After Grinding. Journal of Manufacturing Science and Engineering. 139(12). 6 indexed citations
10.
Jackson, Mark J.. (2012). Micromachining with Nanostructured Cutting Tools. SpringerBriefs in applied sciences and technology. 1 indexed citations
11.
Jackson, Mark J.. (2010). Numerical analysis of small recessed silicon carbide grinding wheels. Journal of Achievements of Materials and Manufacturing Engineering. 43. 27–37. 3 indexed citations
12.
Davim, J. Paulo, et al.. (2010). Finite element simulation and experimental analysis of orthogonal cutting of an aluminium alloy using Polycrystalline Diamond tools. International Journal of Materials and Product Technology. 37(1/2). 46–46. 15 indexed citations
13.
Jackson, Mark J., et al.. (2008). Machining with Nanomaterials. DIAL (Catholic University of Leuven). 17 indexed citations
14.
Jackson, Mark J., et al.. (2007). Machining strain hardening metals using nanostructured thin film end mills. Journal of Achievements of Materials and Manufacturing Engineering. 21. 79–82. 4 indexed citations
15.
Jackson, Mark J. & G. M. Robinson. (2007). Micromachining electrical grade steel using pulsed Nd-YAG lasers. Journal of Achievements of Materials and Manufacturing Engineering. 20. 451–454. 8 indexed citations
16.
Jackson, Mark J. & G. M. Robinson. (2007). Development of morphology in laser dressed grinding wheels. Journal of Achievements of Materials and Manufacturing Engineering. 22. 81–84. 1 indexed citations
17.
Jackson, Mark J.. (2007). Modelling of fracture wear in vitrified cBN grinding wheels. Journal of Achievements of Materials and Manufacturing Engineering. 24. 230–236. 13 indexed citations
18.
Jackson, Mark J., et al.. (2000). Modelling liquid impact fracture thresholds in brittle materials. British Ceramic Transactions. 99(1). 1–13. 2 indexed citations
19.
Jackson, Mark J., et al.. (1997). Seismic while drilling: Operational experiences in Viet Nam. 218(3). 5 indexed citations
20.
Jackson, Mark J., et al.. (1997). 掘削時地震探査(Seismic While Drilling:SWD) ベトナムでの操業経験. 218(3). 53. 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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