Thomas R. Kurfess

6.1k total citations · 1 hit paper
248 papers, 4.5k citations indexed

About

Thomas R. Kurfess is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Thomas R. Kurfess has authored 248 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Mechanical Engineering, 92 papers in Industrial and Manufacturing Engineering and 42 papers in Automotive Engineering. Recurrent topics in Thomas R. Kurfess's work include Manufacturing Process and Optimization (65 papers), Advanced machining processes and optimization (65 papers) and Advanced Measurement and Metrology Techniques (48 papers). Thomas R. Kurfess is often cited by papers focused on Manufacturing Process and Optimization (65 papers), Advanced machining processes and optimization (65 papers) and Advanced Measurement and Metrology Techniques (48 papers). Thomas R. Kurfess collaborates with scholars based in United States, China and Mexico. Thomas R. Kurfess's co-authors include Steven Y. Liang, Masoumeh Aminzadeh, Horacio Ahuett‐Garza, Scott Alexander Billington, Chandra Nath, S. Danyluk, Yaofa Li, Roby Lynn, Mohamed El Mansori and Christopher Saldaña and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Letters and Materials Science and Engineering A.

In The Last Decade

Thomas R. Kurfess

237 papers receiving 4.3k citations

Hit Papers

A fog computing-based framework for process monitoring an... 2017 2026 2020 2023 2017 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
Thomas R. Kurfess United States 31 2.4k 1.6k 1.1k 678 598 248 4.5k
Geok Soon Hong Singapore 38 2.8k 1.1× 1.1k 0.7× 771 0.7× 945 1.4× 1.6k 2.6× 150 5.0k
Zhenyu Liu China 34 1.0k 0.4× 1.1k 0.7× 802 0.7× 444 0.7× 277 0.5× 336 4.5k
George-Christopher Vosniakos Greece 23 1.9k 0.8× 1.1k 0.7× 353 0.3× 836 1.2× 762 1.3× 139 3.2k
Eberhard Abele Germany 34 2.2k 0.9× 2.0k 1.3× 479 0.4× 729 1.1× 846 1.4× 336 4.7k
Hendrik Van Brussel Belgium 35 1.4k 0.6× 1.6k 1.0× 1.4k 1.3× 557 0.8× 1.4k 2.4× 363 5.4k
Zhuming Bi United States 40 1.2k 0.5× 2.5k 1.6× 1.0k 0.9× 459 0.7× 683 1.1× 232 6.4k
Nabil Gindy United Kingdom 37 1.9k 0.8× 1.6k 1.0× 337 0.3× 705 1.0× 734 1.2× 146 3.9k
Xinyu Shao China 58 4.0k 1.7× 2.8k 1.8× 2.1k 1.8× 673 1.0× 624 1.0× 258 10.0k
Jun Hong China 34 2.3k 0.9× 636 0.4× 917 0.8× 271 0.4× 591 1.0× 317 4.2k
Christian Brecher Germany 34 5.0k 2.0× 2.2k 1.4× 1.3k 1.2× 1.1k 1.7× 2.0k 3.4× 503 7.2k

Countries citing papers authored by Thomas R. Kurfess

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. Kurfess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas R. Kurfess

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Kurfess. A scholar is included among the top collaborators of Thomas R. Kurfess 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 Thomas R. Kurfess. Thomas R. Kurfess 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.
Feldhausen, Thomas, et al.. (2023). Effects of lead and lean in multi-axis directed energy deposition. The International Journal of Advanced Manufacturing Technology. 125(11-12). 5119–5134. 4 indexed citations
3.
Foley, Michael, et al.. (2023). Evaluation of no-cost MTConnect-enabled machine monitoring architecture in google sheets. IET conference proceedings.. 2023(16). 138–143.
4.
Karandikar, Jaydeep, Kyle Saleeby, Thomas Feldhausen, et al.. (2022). Evaluation of automated stability testing in machining through closed-loop control and Bayesian machine learning. Mechanical Systems and Signal Processing. 181. 109531–109531. 6 indexed citations
5.
Ahuett‐Garza, Horacio, et al.. (2021). Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System. Applied Sciences. 11(3). 1312–1312. 12 indexed citations
6.
Kurfess, Thomas R., et al.. (2020). Build Orientation Effects on Mechanical Properties of 316SS Components Produced by Directed Energy Deposition. Procedia Manufacturing. 48. 730–736. 15 indexed citations
7.
Ahuett‐Garza, Horacio, et al.. (2019). A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment. Sensors. 19(15). 3304–3304. 12 indexed citations
8.
Kurfess, Thomas R., et al.. (2018). A general theory quantifying the root sensitivity function. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
9.
Nagurka, Mark L., et al.. (2018). New design paradigms for MIMO control system synthesis. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
10.
Lynn, Roby, et al.. (2018). Enhancing Undergraduate Understanding of Subtractive Manufacturability through Virtualized Simulation of CNC Machining. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
11.
Cagan, Jonathan, et al.. (2018). Quality innovation in design and manufacturing : an economic model. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
12.
Lynn, Roby, et al.. (2017). Voxel model surface offsetting for computer-aided manufacturing using virtualized high-performance computing. Journal of Manufacturing Systems. 43. 296–304. 26 indexed citations
13.
Aminzadeh, Masoumeh & Thomas R. Kurfess. (2015). Automatic thresholding for defect detection by background histogram mode extents. Journal of Manufacturing Systems. 37. 83–92. 46 indexed citations
14.
Cui, Yan & Thomas R. Kurfess. (2010). Notice of Retraction: Influence of parameter variations for system identification of pitch-heave car model. 30. V5–600. 1 indexed citations
15.
Kurfess, Thomas R., et al.. (2008). Least-squares fitting of analytic primitives on a GPU. Journal of Manufacturing Systems. 27(3). 130–135. 10 indexed citations
16.
Kurfess, Thomas R., et al.. (2005). Comparison of three dimensional coordinate measurement data and CAD models.. Nanotechnology and Precision Engineering.
17.
Kurfess, Thomas R., et al.. (2004). Quantification of tool wear using white light interferometry and three-dimensional computational metrology. International Journal of Machine Tools and Manufacture. 45(4-5). 591–596. 37 indexed citations
18.
Kurfess, Thomas R.. (2001). Challenges and directions for integrating mechatronics into early design. International journal of engineering education. 17(4). 421–425.
19.
Kurfess, Thomas R., et al.. (1996). Dimensional Measurement Data Analysis: Part I — A Zone Fitting Algorithm. 447–455. 1 indexed citations
20.
Kurfess, Thomas R., et al.. (1996). Optimization of Real-Time Multivariable Estimation in Grinding. Dynamic Systems and Control. 365–370. 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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