Laine Mears

2.9k total citations
179 papers, 2.2k citations indexed

About

Laine Mears is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Laine Mears has authored 179 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Mechanical Engineering, 70 papers in Electrical and Electronic Engineering and 51 papers in Industrial and Manufacturing Engineering. Recurrent topics in Laine Mears's work include Advanced machining processes and optimization (59 papers), Advanced Machining and Optimization Techniques (35 papers) and Manufacturing Process and Optimization (35 papers). Laine Mears is often cited by papers focused on Advanced machining processes and optimization (59 papers), Advanced Machining and Optimization Techniques (35 papers) and Manufacturing Process and Optimization (35 papers). Laine Mears collaborates with scholars based in United States, Germany and India. Laine Mears's co-authors include Farbod Akhavan Niaki, John T. Roth, Durul Ulutan, Joshua J. Jones, Cristina Bunget, Wesley A. Salandro, Thomas R. Kurfess, Mathew Kuttolamadom, Lujia Feng and Dragan Djurdjanović and has published in prestigious journals such as Computers in Human Behavior, Energy Conversion and Management and Journal of Materials Processing Technology.

In The Last Decade

Laine Mears

170 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laine Mears United States 27 1.2k 911 652 415 265 179 2.2k
Tadeusz Mikołajczyk Poland 27 1.7k 1.4× 950 1.0× 622 1.0× 816 2.0× 191 0.7× 97 2.5k
Marek Balazinski Canada 32 1.9k 1.6× 945 1.0× 447 0.7× 707 1.7× 339 1.3× 132 2.7k
Matthias Pütz Germany 18 943 0.8× 278 0.3× 560 0.9× 327 0.8× 294 1.1× 173 1.6k
Doriana M. D’Addona Italy 23 1.2k 1.0× 656 0.7× 550 0.8× 528 1.3× 95 0.4× 88 1.7k
Che Hassan Che Haron Malaysia 26 1.7k 1.4× 900 1.0× 334 0.5× 643 1.5× 333 1.3× 156 2.2k
J. Barreiro Spain 22 1.4k 1.2× 430 0.5× 420 0.6× 358 0.9× 250 0.9× 81 1.7k
Róbert Čep Czechia 22 1.0k 0.8× 360 0.4× 292 0.4× 307 0.7× 225 0.8× 224 1.8k
Zhaohui Deng China 24 1.2k 1.0× 536 0.6× 293 0.4× 840 2.0× 180 0.7× 84 1.6k
Ming Luo China 31 2.3k 1.9× 907 1.0× 892 1.4× 1.1k 2.7× 176 0.7× 154 2.8k
L. Karunamoorthy India 25 2.1k 1.8× 1.1k 1.2× 293 0.4× 811 2.0× 321 1.2× 73 2.5k

Countries citing papers authored by Laine Mears

Since Specialization
Citations

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

Fields of papers citing papers by Laine Mears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laine Mears

This figure shows the co-authorship network connecting the top 25 collaborators of Laine Mears. A scholar is included among the top collaborators of Laine Mears 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 Laine Mears. Laine Mears 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
4.
Mears, Laine, et al.. (2024). Testing scenario for comparison of real-time locating system in automotive manufacturing. Manufacturing Letters. 41. 1596–1606.
5.
Agarwal, Ankit, et al.. (2024). HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision. Journal of Intelligent Manufacturing. 36(7). 4807–4822. 5 indexed citations
7.
Agarwal, Ankit, et al.. (2024). Realizing on-machine tool wear monitoring through integration of vision-based system with CNC milling machine. Journal of Manufacturing Systems. 78. 283–293. 12 indexed citations
8.
Mears, Laine, et al.. (2023). The forgotten teammate: Considering the labor perspective in human-autonomy teams. Computers in Human Behavior. 145. 107763–107763. 11 indexed citations
9.
Mears, Laine, et al.. (2023). Redefining the digital triplet for surrogate system integration. Manufacturing Letters. 36. 57–61. 7 indexed citations
10.
Mears, Laine, et al.. (2023). Heat Treatment of AA7075 by Electropulsing and DC Current Application. Journal of Manufacturing and Materials Processing. 7(2). 73–73. 2 indexed citations
11.
Agarwal, Ankit, et al.. (2023). Investigation of stochastic toolpath strategy in three-axis ball-end milling of 2D and free-form surfaces. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 238(11). 1709–1723. 1 indexed citations
12.
Mears, Laine, et al.. (2022). Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure. Volume 2B: Advanced Manufacturing. 2 indexed citations
13.
Feng, Lujia, et al.. (2017). Nonlinear Parameter Estimation in a Typical Industrial Air Handler Unit. 1 indexed citations
14.
Mears, Laine, et al.. (2017). Measurement of Operator-machine Interaction on a Chaku-chaku Assembly Line. Procedia Manufacturing. 10. 123–135. 13 indexed citations
15.
Niaki, Farbod Akhavan, Durul Ulutan, & Laine Mears. (2016). Parameter Inference Under Uncertainty in End-Milling γ′-Strengthened Difficult-to-Machine Alloy. Journal of Manufacturing Science and Engineering. 138(6). 20 indexed citations
16.
Mears, Laine, et al.. (2016). Cost Estimation Model for Polyacrylonitrile-Based Carbon Fiber Manufacturing Process. Journal of Manufacturing Science and Engineering. 139(4). 22 indexed citations
17.
Mears, Laine, et al.. (2014). Characterization of Flow Drill Screwdriving Process Parameters on Joint Quality. SAE International Journal of Materials and Manufacturing. 8(1). 35–44. 33 indexed citations
18.
Bunget, Cristina, Wesley A. Salandro, & Laine Mears. (2012). Sensitivities When Modeling Electrically-Assisted Forming. 179–187. 1 indexed citations
19.
Mears, Laine, et al.. (2012). Manufacturing Process Modeling and Application to Intelligent Control. Scholar Commons (University of South Carolina). 10(1). 5. 2 indexed citations
20.
Mears, Laine, et al.. (2008). A New Position Feedback Method for Manufacturing Equipment. 513–521. 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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