James B. Castle

476 total citations
19 papers, 389 citations indexed

About

James B. Castle is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, James B. Castle has authored 19 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 7 papers in Biomedical Engineering and 5 papers in Automotive Engineering. Recurrent topics in James B. Castle's work include Advanced machining processes and optimization (9 papers), Advanced Surface Polishing Techniques (5 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). James B. Castle is often cited by papers focused on Advanced machining processes and optimization (9 papers), Advanced Surface Polishing Techniques (5 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). James B. Castle collaborates with scholars based in United States and Spain. James B. Castle's co-authors include Shreyes N. Melkote, Lei Ma, Lejun Cen, K. Chandrashekhara, Ming C. Leu, Minami Yoda, Daniel G. Sanders, Joseph William Newkirk, Ming-Chuan Leu and Melissa Johnson and has published in prestigious journals such as Wear, SAE technical papers on CD-ROM/SAE technical paper series and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

James B. Castle

19 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James B. Castle United States 10 307 182 132 106 87 19 389
Francesco Modica Italy 13 314 1.0× 185 1.0× 170 1.3× 62 0.6× 132 1.5× 44 438
M. Kanthababu India 12 339 1.1× 221 1.2× 207 1.6× 52 0.5× 38 0.4× 36 448
Ömer Eyerci̇oğlu Türkiye 12 343 1.1× 144 0.8× 146 1.1× 58 0.5× 31 0.4× 37 428
Thomas Stehle Germany 11 280 0.9× 125 0.7× 52 0.4× 101 1.0× 29 0.3× 41 336
C.K. Toh United Kingdom 12 720 2.3× 299 1.6× 284 2.2× 148 1.4× 41 0.5× 15 800
Valerio Mussi Italy 12 264 0.9× 88 0.5× 54 0.4× 41 0.4× 65 0.7× 32 339
Julien Chaves‐Jacob France 11 306 1.0× 181 1.0× 25 0.2× 79 0.7× 53 0.6× 34 405
Abhineet Saini India 9 213 0.7× 74 0.4× 139 1.1× 43 0.4× 19 0.2× 31 301
Benjamin Döbbeler Germany 16 498 1.6× 200 1.1× 242 1.8× 114 1.1× 22 0.3× 48 537
Błażej Bałasz Poland 10 197 0.6× 121 0.7× 41 0.3× 46 0.4× 55 0.6× 33 276

Countries citing papers authored by James B. Castle

Since Specialization
Citations

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

Fields of papers citing papers by James B. Castle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James B. Castle. 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 James B. Castle. The network helps show where James B. Castle may publish in the future.

Co-authorship network of co-authors of James B. Castle

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

All Works

19 of 19 papers shown
1.
Newkirk, Joseph William, et al.. (2019). Micro-slotting Residual Stress Measurement Technique for Understanding Fatigue Performance of Open-Hole Ti-6Al-4V Samples. Journal of Materials Engineering and Performance. 28(9). 5716–5724. 8 indexed citations
2.
Yan, Lei, Wenyuan Cui, Joseph William Newkirk, et al.. (2018). Build Strategy Investigation of Ti-6Al-4V Produced Via a Hybrid Manufacturing Process. JOM. 70(9). 1706–1713. 10 indexed citations
3.
Cen, Lejun, et al.. (2018). A Method for Mode Coupling Chatter Detection and Suppression in Robotic Milling. Journal of Manufacturing Science and Engineering. 140(8). 47 indexed citations
4.
Newkirk, Joseph William, et al.. (2018). Micro-slotting technique for reliable measurement of sub-surface residual stress in Ti-6Al-4V. The Journal of Strain Analysis for Engineering Design. 53(6). 389–399. 5 indexed citations
5.
Yan, Lei, et al.. (2018). Fast Prediction of Thermal History in Large-Scale Parts Fabricated Via a Laser Metal Deposition Process. Texas Digital Library (University of Texas). 517. 1 indexed citations
6.
Leu, Ming C., et al.. (2017). Experimental investigation of effects of build parameters on flexural properties in fused deposition modelling parts. Virtual and Physical Prototyping. 12(3). 207–220. 57 indexed citations
7.
Cen, Lejun, et al.. (2016). A Wireless Force-Sensing and Model-Based Approach for Enhancement of Machining Accuracy in Robotic Milling. IEEE/ASME Transactions on Mechatronics. 21(5). 2227–2235. 56 indexed citations
8.
Leu, Ming-Chuan, et al.. (2016). Effects of Build Parameters on Compression Properties for Ultem 9085 Parts by Fused Deposition Modeling. 964. 12 indexed citations
9.
Melkote, Shreyes N., et al.. (2016). Effect of jet velocity in co-flow water cavitation jet peening. Wear. 360-361. 38–50. 34 indexed citations
10.
Castle, James B., et al.. (2016). Investigation of Ultem 1010 FDM Sparse-Build Parts using Design of Experiments and Numerical Simulation. 6 indexed citations
11.
Ma, Lei, Shreyes N. Melkote, & James B. Castle. (2013). A Model-Based Computationally Efficient Method for On-Line Detection of Chatter in Milling. Journal of Manufacturing Science and Engineering. 135(3). 35 indexed citations
12.
Ma, Lei, Shreyes N. Melkote, & James B. Castle. (2013). PVDF sensor-based monitoring of milling torque. The International Journal of Advanced Manufacturing Technology. 70(9-12). 1603–1614. 37 indexed citations
13.
Ma, Lei, et al.. (2012). Thin-Film PVDF Sensor-Based Monitoring of Cutting Forces in Peripheral End Milling. Journal of Dynamic Systems Measurement and Control. 134(5). 51 indexed citations
14.
Melkote, Shreyes N., et al.. (2012). Thin-Film PVDF Sensor Based Monitoring of Cutting Forces in Peripheral End Milling. 725–735. 3 indexed citations
15.
Ma, Lei, et al.. (2012). Design of thin-film polyvinylidene fluoride sensor rosettes for isolation of various strain components. Journal of Intelligent Material Systems and Structures. 23(10). 1119–1130. 9 indexed citations
16.
Ma, Lei, et al.. (2010). On-Line Monitoring of End Milling Forces Using a Thin Film Based Wireless Sensor Module. 435–442. 7 indexed citations
17.
Castle, James B.. (2010). Drilling Induced Fatigue Damage in Ti-6Al-4V. Open Scholarship Institutional Repository (Washington University in St. Louis). 1 indexed citations
18.
Xu, Minjie, et al.. (2001). Finite Element Simulation and Experimental Validation of V-Ribbed Belt Tracking. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
19.
Castle, James B., et al.. (2000). Experimental Measurements of V-Ribbed Belt Tracking Lateral Forces. SAE technical papers on CD-ROM/SAE technical paper series. 1. 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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