J.R.R. Mayer

3.0k total citations · 1 hit paper
114 papers, 2.3k citations indexed

About

J.R.R. Mayer is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, J.R.R. Mayer has authored 114 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Mechanical Engineering, 44 papers in Computational Mechanics and 26 papers in Biomedical Engineering. Recurrent topics in J.R.R. Mayer's work include Advanced Measurement and Metrology Techniques (82 papers), Advanced machining processes and optimization (46 papers) and Advanced Numerical Analysis Techniques (31 papers). J.R.R. Mayer is often cited by papers focused on Advanced Measurement and Metrology Techniques (82 papers), Advanced machining processes and optimization (46 papers) and Advanced Numerical Analysis Techniques (31 papers). J.R.R. Mayer collaborates with scholars based in Canada, Poland and France. J.R.R. Mayer's co-authors include S.H.H. Zargarbashi, Guy Cloutier, Marek Balazinski, Adam Woźniak, Sylvain Lavernhe, Clément Fortin, Loïc Andolfatto, A.‐V. Phan, Jixiang Yang and Yusuf Altıntaş and has published in prestigious journals such as Sensors, Chemical Engineering Science and International Journal for Numerical Methods in Engineering.

In The Last Decade

J.R.R. Mayer

108 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine tool calibration: Measurement, modeling, and compensation of machine tool errors

2023 127 citations Wei Gao, Soichi Ibaraki et al. International Journal of Machine Tools and Manufacture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.R.R. Mayer Canada	28	2.1k	910	443	405	333	114	2.3k
Soichi Ibaraki Japan	26	2.7k 1.3×	1.4k 1.5×	465 1.0×	561 1.4×	527 1.6×	126	2.9k
F. Ismail Canada	30	2.0k 0.9×	447 0.5×	1.2k 2.8×	614 1.5×	62 0.2×	56	2.4k
Deyong You China	24	1.6k 0.8×	345 0.4×	114 0.3×	501 1.2×	160 0.5×	55	2.0k
Ye Ding China	26	2.0k 1.0×	477 0.5×	1.6k 3.6×	599 1.5×	150 0.5×	110	2.5k
Jay F. Tu United States	19	1.3k 0.6×	264 0.3×	242 0.5×	134 0.3×	28 0.1×	67	1.9k
Shizhe Feng China	22	615 0.3×	351 0.4×	232 0.5×	90 0.2×	38 0.1×	53	1.5k
Toshio SATA Japan	24	1.2k 0.6×	371 0.4×	843 1.9×	560 1.4×	72 0.2×	135	1.7k
An‐Chen Lee Taiwan	23	879 0.4×	306 0.3×	221 0.5×	139 0.3×	39 0.1×	93	1.4k
Firooz Bakhtiari-Nejad Iran	30	728 0.4×	203 0.2×	265 0.6×	28 0.1×	68 0.2×	112	2.6k
Yongmeng Liu China	17	433 0.2×	103 0.1×	92 0.2×	195 0.5×	80 0.2×	83	767

Countries citing papers authored by J.R.R. Mayer

Since Specialization

Citations

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

Fields of papers citing papers by J.R.R. Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.R.R. Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of J.R.R. Mayer. A scholar is included among the top collaborators of J.R.R. Mayer 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 J.R.R. Mayer. J.R.R. Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mayer, J.R.R., et al.. (2025). Novel cylindrical representation of the STFT for signal analysis. Electronics Letters. 61(1). 1 indexed citations

Mayer, J.R.R., et al.. (2025). Machine learning models for predicting volumetric errors based on scale and master balls artefact probing data. CIRP journal of manufacturing science and technology. 59. 135–157. 1 indexed citations

Chen, Gengxiang, et al.. (2025). Advanced ultra-high precision system (NanoCyl) for accurate cylindricity measurements. CIRP journal of manufacturing science and technology. 59. 118–126.

Altıntaş, Yusuf, et al.. (2024). Digital mapping of machine tool's volumetric and tracking errors left on the five axis tool paths. Precision Engineering. 88. 815–822. 1 indexed citations

Gao, Wei, Soichi Ibaraki, M A. Donmez, et al.. (2023). Machine tool calibration: Measurement, modeling, and compensation of machine tool errors. International Journal of Machine Tools and Manufacture. 187. 104017–104017. 127 indexed citations breakdown →

Mayer, J.R.R., et al.. (2023). Deep Learning to Directly Predict Compensation Values of Thermally Induced Volumetric Errors. Machines. 11(4). 496–496. 4 indexed citations

Khameneifar, Farbod, et al.. (2021). Evaluation of the Metrological Performance of a Handheld 3D Laser Scanner Using a Pseudo-3D Ball-Lattice Artifact. Sensors. 21(6). 2137–2137. 10 indexed citations

Mayer, J.R.R., et al.. (2020). Impact of Model Complexity in the Monitoring of Machine Tools Condition Using Volumetric Errors. International Journal of Automation Technology. 14(3). 369–379. 1 indexed citations

Rahman, Mohammed Mizanur & J.R.R. Mayer. (2016). Calibration performance investigation of an uncalibrated indigenous artefact probing for five-axis machine tool. Journal of Machine Engineering. 6 indexed citations

10.

Bobzin, Kirsten, et al.. (2015). Influence of wetting and thermophysical properties of diamond-like carbon coatings on the frictional behavior in automobile gearboxes under elasto-hydrodynamic lubrication. Surface and Coatings Technology. 284. 290–301. 37 indexed citations

11.

Woźniak, Adam & J.R.R. Mayer. (2014). Discontinuity check of scanning in coordinate metrology. Measurement. 59. 284–289. 4 indexed citations

12.

Slamani, Mohamed, et al.. (2012). IMPROVEMENT TO HIGH-SPEED END MILL BORING ACCURACY BY A SIMPLE COMPENSATION STRATEGY. Machining Science and Technology. 16(1). 1–19. 3 indexed citations

13.

Andolfatto, Loïc, J.R.R. Mayer, & Sylvain Lavernhe. (2011). Adaptive Monte Carlo applied to uncertainty estimation in five axis machine tool link errors identification with thermal disturbance. International Journal of Machine Tools and Manufacture. 51(7-8). 618–627. 31 indexed citations

14.

Mayer, J.R.R., et al.. (2010). Axis location and scale factors estimation for three-axis machines from periodic performance checks with laser distance measurements - risks and opportunities. Journal of Machine Engineering. 1 indexed citations

15.

Woźniak, Adam, et al.. (2007). Pomiary kształtu ostrza narzędzi skrawających za pomocą współrzędnościowych maszyn pomiarowych. PRZEGLĄD MECHANICZNY. 215–220. 1 indexed citations

16.

Woźniak, Adam, J.R.R. Mayer, & Marek Balazinski. (2007). Application of fuzzy knowledge base for corrected measured point determination in coordinate metrology. PolyPublie (École Polytechnique de Montréal). 135–139. 12 indexed citations

17.

Phan, A.‐V., Luc Baron, J.R.R. Mayer, & Guy Cloutier. (2003). Finite element and experimental studies of diametral errors in cantilever bar turning. Applied Mathematical Modelling. 27(3). 221–232. 24 indexed citations

18.

Mayer, J.R.R., A.‐V. Phan, & Guy Cloutier. (2000). Prediction of diameter errors in bar turning: a computationally effective model. Applied Mathematical Modelling. 24(12). 943–956. 35 indexed citations

19.

Mayer, J.R.R., Guy Cloutier, & Clément Fortin. (1997). Quadrilateration and measurement site identification with dual scanning axis laser tracking interferometers. Measurement. 20(3). 171–187. 4 indexed citations

20.

Monsan, Pierre, et al.. (1983). Hydrolyse enzymatique du lactose dans un réacteur type réservoir agité. The Canadian Journal of Chemical Engineering. 61(1). 73–79. 5 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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