Tony L. Schmitz

8.3k total citations · 1 hit paper
279 papers, 6.3k citations indexed

About

Tony L. Schmitz is a scholar working on Mechanical Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tony L. Schmitz has authored 279 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Mechanical Engineering, 113 papers in Biomedical Engineering and 73 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tony L. Schmitz's work include Advanced machining processes and optimization (155 papers), Advanced Surface Polishing Techniques (101 papers) and Advanced Measurement and Metrology Techniques (99 papers). Tony L. Schmitz is often cited by papers focused on Advanced machining processes and optimization (155 papers), Advanced Surface Polishing Techniques (101 papers) and Advanced Measurement and Metrology Techniques (99 papers). Tony L. Schmitz collaborates with scholars based in United States, United Kingdom and Austria. Tony L. Schmitz's co-authors include Scott Smith, G. Scott Duncan, Jaydeep Karandikar, John C. Ziegert, Andrew Honeycutt, W. Gregory Sawyer, Matthew A. Davies, Brian P. Mann, Michael D. Kennedy and Nam Ho Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and AIAA Journal.

In The Last Decade

Tony L. Schmitz

266 papers receiving 6.0k citations

Hit Papers

Mechanical Vibrations 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony L. Schmitz United States 40 5.1k 2.8k 1.6k 1.4k 766 279 6.3k
Shreyes N. Melkote United States 51 5.8k 1.1× 4.0k 1.4× 2.3k 1.5× 1.7k 1.3× 510 0.7× 248 7.6k
Kornel F. Ehmann United States 48 6.4k 1.2× 3.5k 1.3× 1.9k 1.2× 975 0.7× 1.1k 1.4× 313 8.7k
M.A. Elbestawi Canada 55 8.6k 1.7× 3.3k 1.2× 1.9k 1.2× 1.4k 1.1× 725 0.9× 232 9.7k
Dinghua Zhang China 38 3.5k 0.7× 1.5k 0.5× 1.2k 0.8× 1.0k 0.8× 215 0.3× 267 4.5k
Toshimichi MORIWAKI Japan 24 3.0k 0.6× 2.0k 0.7× 1.0k 0.7× 404 0.3× 258 0.3× 135 3.3k
Shiv G. Kapoor United States 42 5.4k 1.0× 3.8k 1.4× 3.0k 1.9× 858 0.6× 270 0.4× 245 6.2k
Zhongqin Lin China 34 2.7k 0.5× 752 0.3× 603 0.4× 496 0.4× 542 0.7× 210 4.1k
Scott Smith United States 28 2.6k 0.5× 1.7k 0.6× 1.0k 0.7× 828 0.6× 408 0.5× 114 3.5k
Erhan Budak Türkiye 50 9.6k 1.9× 6.7k 2.4× 3.6k 2.3× 3.2k 2.3× 571 0.7× 181 10.1k
Brian P. Mann United States 38 5.5k 1.1× 3.4k 1.2× 2.8k 1.8× 488 0.4× 833 1.1× 150 6.7k

Countries citing papers authored by Tony L. Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Tony L. Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony L. Schmitz. 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 Tony L. Schmitz. The network helps show where Tony L. Schmitz may publish in the future.

Co-authorship network of co-authors of Tony L. Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of Tony L. Schmitz. A scholar is included among the top collaborators of Tony L. Schmitz 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 Tony L. Schmitz. Tony L. Schmitz 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.
Schmitz, Tony L., et al.. (2025). An activity-based parametric cost analysis for upcycling machining chips to produce feedstock for sustainable additive friction stir deposition. Additive Manufacturing Letters. 14. 100288–100288. 1 indexed citations
2.
Karandikar, Jaydeep, et al.. (2025). An analytical model integrating tool kinematics and material flow for the spindle torque prediction in additive friction stir deposition. Manufacturing Letters. 44. 1177–1186. 1 indexed citations
3.
Schmitz, Tony L., et al.. (2025). Tool wear, mechanistic force modeling, and surface finish in CFRP milling. Journal of Manufacturing Processes. 141. 1397–1415. 3 indexed citations
4.
Pack, Robert C., et al.. (2025). Additive friction stir deposition of multi-layer aluminum-silicon carbide metal matrix composites. Additive Manufacturing Letters. 15. 100330–100330.
5.
Metz, Peter, L. M. Miller, Zachary C. Sims, et al.. (2025). Through-thickness microstructure and residual stress distributions in additive friction stir deposited Aluminum 7075. Materials Characterization. 229. 115600–115600.
6.
Nazario, Jose, et al.. (2024). Process damping force model calibration using in situ velocity. CIRP journal of manufacturing science and technology. 55. 16–27.
7.
Jared, Bradley Howell, et al.. (2024). Chatter detection in simulated machining data: a simple refined approach to vibration data. The International Journal of Advanced Manufacturing Technology. 132(9-10). 4541–4557. 7 indexed citations
8.
Schmitz, Tony L., et al.. (2024). AFSD-Physics: Exploring the governing equations of temperature evolution during additive friction stir deposition by a human-AI teaming approach. Manufacturing Letters. 41. 1004–1015. 4 indexed citations
9.
Jared, Bradley Howell, Tony L. Schmitz, Glenn S. Daehn, et al.. (2024). Mechanical property improvements of LPBF-AlSi10Mg via forging to modify microstructure and defect characteristics. Manufacturing Letters. 41. 568–574.
10.
Daehn, Glenn S., et al.. (2024). Emerging Opportunities in Distributed Manufacturing: Results and Analysis of an Expert Study. Integrating materials and manufacturing innovation. 13(3). 688–702. 1 indexed citations
11.
13.
Bleicher, Friedrich, et al.. (2024). Flexure-based torque and thrust force drilling dynamometer with Hall effect sensor displacement measurement. CIRP Annals. 73(1). 281–284. 2 indexed citations
14.
Wilson, Nathan M., et al.. (2024). Hybrid manufacturing cost models: Additive friction stir deposition, measurement, and CNC machining. Manufacturing Letters. 41. 320–331. 4 indexed citations
15.
Schmitz, Tony L., et al.. (2023). Minimum cost, stability constrained preform optimization for hybrid manufacturing. Manufacturing Letters. 39. 1–5.
16.
Schmitz, Tony L., et al.. (2023). Freeform Hybrid Manufacturing: Binderjet, Structured Light Scanning, Confocal Microscopy, and CNC Machining. Journal of Manufacturing and Materials Processing. 7(2). 79–79. 6 indexed citations
17.
Leitner, David M., et al.. (2023). Flexure-based dynamometer for vector-valued milling force measurement. Journal of Machine Engineering. 4 indexed citations
18.
Schmitz, Tony L., et al.. (2023). Limited-constraint WAAM fixture for hybrid manufacturing. Manufacturing Letters. 37. 66–69. 6 indexed citations
19.
Bhattacharyya, Abhijit, et al.. (2022). Introducing engineering undergraduates to CNC machine tool error compensation. SHILAP Revista de lepidopterología. 5. 100089–100089. 2 indexed citations
20.
Schmitz, Tony L., et al.. (2007). ROTATING TOOL POINT FREQUENCY RESPONSE PREDICTION USING RCSA. Machining Science and Technology. 11(3). 433–446. 35 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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