Edward C. De Meter

734 total citations
38 papers, 591 citations indexed

About

Edward C. De Meter is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Edward C. De Meter has authored 38 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 27 papers in Industrial and Manufacturing Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Edward C. De Meter's work include Manufacturing Process and Optimization (27 papers), Advanced machining processes and optimization (16 papers) and Advanced Measurement and Metrology Techniques (12 papers). Edward C. De Meter is often cited by papers focused on Manufacturing Process and Optimization (27 papers), Advanced machining processes and optimization (16 papers) and Advanced Measurement and Metrology Techniques (12 papers). Edward C. De Meter collaborates with scholars based in United States, Taiwan and Germany. Edward C. De Meter's co-authors include Martin W. Trethewey, Saurabh Basu, Wen Xie, Wei Xie, Guha Manogharan, Timothy W. Simpson, Chao‐Hsien Chu, E. Amine Lehtihet, Edward W. Reutzel and Hojong Kim and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, International Journal of Production Research and International Journal of Machine Tools and Manufacture.

In The Last Decade

Edward C. De Meter

36 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward C. De Meter United States 13 482 399 128 92 92 38 591
Bernard Anselmetti France 13 380 0.8× 227 0.6× 142 1.1× 95 1.0× 50 0.5× 32 455
Stéphane Segonds France 11 106 0.2× 284 0.7× 73 0.6× 87 0.9× 83 0.9× 25 355
Denis Teissandier France 12 324 0.7× 165 0.4× 149 1.2× 85 0.9× 15 0.2× 26 364
Shizhong Su United Kingdom 9 202 0.4× 133 0.3× 52 0.4× 35 0.4× 57 0.6× 24 352
Jianzhong Ruan United States 12 236 0.5× 357 0.9× 360 2.8× 43 0.5× 40 0.4× 41 473
Wenping Mou China 12 210 0.4× 256 0.6× 25 0.2× 47 0.5× 76 0.8× 22 391
Corey J. Dickman United States 11 198 0.4× 431 1.1× 398 3.1× 51 0.6× 42 0.5× 19 550
Xiaodong Shao China 12 91 0.2× 296 0.7× 64 0.5× 34 0.4× 77 0.8× 36 423
Sun Jin China 9 295 0.6× 242 0.6× 104 0.8× 91 1.0× 23 0.3× 32 387
Tulga M. Ozsoy United States 7 245 0.5× 201 0.5× 43 0.3× 231 2.5× 58 0.6× 12 361

Countries citing papers authored by Edward C. De Meter

Since Specialization
Citations

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

Fields of papers citing papers by Edward C. De Meter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward C. De Meter. 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 Edward C. De Meter. The network helps show where Edward C. De Meter may publish in the future.

Co-authorship network of co-authors of Edward C. De Meter

This figure shows the co-authorship network connecting the top 25 collaborators of Edward C. De Meter. A scholar is included among the top collaborators of Edward C. De Meter 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 Edward C. De Meter. Edward C. De Meter 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.
Basu, Saurabh, et al.. (2025). A novel thermal analysis of the abrasive flow machining (AFM) process. The International Journal of Advanced Manufacturing Technology. 137(3-4). 1891–1914. 1 indexed citations
2.
Meter, Edward C. De, et al.. (2024). TO‐NODE: Topology optimization with neural ordinary differential equation. International Journal for Numerical Methods in Engineering. 125(7). 1 indexed citations
3.
Meter, Edward C. De, et al.. (2021). The influence of defects on the elastic response of lattice structures resulting from additive manufacturing. Computational Materials Science. 199. 110716–110716. 24 indexed citations
4.
Lehtihet, E. Amine, et al.. (2019). On the Producibility of Composite Position Tolerance Specifications for Patterns of Holes: Machining Experiments. Journal of Manufacturing Science and Engineering. 142(2). 1 indexed citations
5.
Meter, Edward C. De, et al.. (2019). Super Finishing of Printed Metallic Parts for High Performance Naval Systems. 1 indexed citations
6.
Lehtihet, E. Amine, et al.. (2018). Experimental sampling of the Z-axis error and laser positioning error of an EOSINT M280 DMLS machine. Additive manufacturing. 21. 501–516. 4 indexed citations
7.
Meter, Edward C. De, et al.. (2015). Experimental analysis of an adhesive surface grinding process. Journal of Manufacturing Processes. 19. 38–48. 5 indexed citations
9.
Meter, Edward C. De, et al.. (2014). Analysis of a laser process for permanently degrading a photo-activated adhesive joint. Journal of Manufacturing Processes. 16(2). 190–199. 4 indexed citations
10.
Meter, Edward C. De. (2005). Characterization of the Quasi-static Deformation of LAAG Joints Adhering Machined Steel Surfaces. Journal of Manufacturing Science and Engineering. 127(2). 350–357. 8 indexed citations
11.
Meter, Edward C. De, et al.. (2002). An evaluation of a linear clamp pre-load model with respect to milling operations. 1. 308–313. 3 indexed citations
12.
Meter, Edward C. De, et al.. (2002). An investigation into the use of spatial coordinates for the genetic algorithm based solution of the fixture layout optimization problem. International Journal of Machine Tools and Manufacture. 42(2). 265–275. 40 indexed citations
13.
Meter, Edward C. De, et al.. (2001). A model to predict minimum required clamp pre-loads in light of fixture–workpiece compliance. International Journal of Machine Tools and Manufacture. 41(7). 1031–1054. 31 indexed citations
14.
Meter, Edward C. De, et al.. (2001). Part location algorithms for an Intelligent Fixturing System Part 2: algorithm testing and evaluation. Journal of Manufacturing Systems. 20(2). 135–148. 6 indexed citations
15.
Xie, Wei, et al.. (2000). Experimental assessment of a clamp actuation intensity analysis model. International Journal of Production Research. 38(18). 4611–4633. 3 indexed citations
16.
Meter, Edward C. De, et al.. (2000). Development of a compliance tester for assessing and reducing the static compliance of fixture-workpiece systems. Journal of Manufacturing Systems. 19(2). 108–120. 3 indexed citations
17.
Meter, Edward C. De, et al.. (1999). Mixed-Integer Programming Model for Fixture Layout Optimization. Journal of Manufacturing Science and Engineering. 121(4). 701–708. 13 indexed citations
18.
Meter, Edward C. De, et al.. (1999). Global workpiece positioning system (GWPS) Part 2: Development of an ultrasonics-based system. Journal of Manufacturing Systems. 18(6). 447–459. 1 indexed citations
19.
Meter, Edward C. De, et al.. (1998). Mixed-Integer Programming Model for Fixture Layout Optimization. 885–899. 1 indexed citations
20.
Meter, Edward C. De, et al.. (1997). The application of tool path compensation for the reduction of clampinginduced geometric errors. International Journal of Production Research. 35(12). 3415–3432. 10 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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