Gregory Mocko

1.4k total citations
91 papers, 979 citations indexed

About

Gregory Mocko is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Management of Technology and Innovation. According to data from OpenAlex, Gregory Mocko has authored 91 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Industrial and Manufacturing Engineering, 44 papers in Mechanical Engineering and 30 papers in Management of Technology and Innovation. Recurrent topics in Gregory Mocko's work include Manufacturing Process and Optimization (49 papers), Design Education and Practice (38 papers) and Product Development and Customization (29 papers). Gregory Mocko is often cited by papers focused on Manufacturing Process and Optimization (49 papers), Design Education and Practice (38 papers) and Product Development and Customization (29 papers). Gregory Mocko collaborates with scholars based in United States, Australia and United Kingdom. Gregory Mocko's co-authors include Joshua D. Summers, Chiradeep Sen, Benjamin W. Caldwell, Matthew Porter, Gregory P. Smith, Ardalan Vahidi, Beshoy Morkos, Russell S. Peak, Robert Paasch and Richard Malak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and IEEE Transactions on Control Systems Technology.

In The Last Decade

Gregory Mocko

80 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Mocko United States 17 534 437 381 92 74 91 979
Kilian Gericke Luxembourg 16 392 0.7× 395 0.9× 312 0.8× 84 0.9× 91 1.2× 74 785
Jörg Feldhusen Germany 9 681 1.3× 478 1.1× 511 1.3× 46 0.5× 107 1.4× 49 1.2k
Denis Cavallucci France 16 470 0.9× 422 1.0× 331 0.9× 38 0.4× 53 0.7× 86 935
Rob Bracewell United Kingdom 15 562 1.1× 423 1.0× 382 1.0× 110 1.2× 63 0.9× 70 936
Runhua Tan China 16 379 0.7× 382 0.9× 280 0.7× 38 0.4× 43 0.6× 158 962
Shana Smith Taiwan 21 341 0.6× 283 0.6× 662 1.7× 29 0.3× 76 1.0× 73 1.6k
Stuart Pugh United Kingdom 8 603 1.1× 504 1.2× 260 0.7× 80 0.9× 75 1.0× 15 1.2k
Vladimir Hubka Switzerland 13 792 1.5× 565 1.3× 448 1.2× 39 0.4× 91 1.2× 21 1.1k
Steven B. Shooter United States 16 464 0.9× 477 1.1× 317 0.8× 59 0.6× 58 0.8× 65 856
Ken M. Wallace United Kingdom 13 563 1.1× 291 0.7× 230 0.6× 110 1.2× 27 0.4× 30 840

Countries citing papers authored by Gregory Mocko

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Mocko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Mocko

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Mocko. A scholar is included among the top collaborators of Gregory Mocko 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 Gregory Mocko. Gregory Mocko 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.
Mocko, Gregory, et al.. (2025). Student Learning Throughout Engineering Design Education: Review and Recommendations. Journal of Mechanical Design. 147(11).
3.
Mocko, Gregory, et al.. (2022). Approaches for Simulation Model Reuse in Systems Design — A Review. SAE International Journal of Advances and Current Practices in Mobility. 4(5). 1457–1471. 7 indexed citations
4.
Louis, Edward E., et al.. (2022). Developing Domain Ontologies and an Integration Ontology to Support Modeling and Simulation of Next-Generation Ground Vehicle Systems. SAE technical papers on CD-ROM/SAE technical paper series.
5.
Mocko, Gregory, et al.. (2022). Repeatability and Variability of the 3-Min All-Out Test at the Subject Level. Journal of Science in Sport and Exercise. 5(1). 77–86. 1 indexed citations
6.
Mocko, Gregory, et al.. (2020). Experimental investigation and finite element modeling of localized heating in convective heat-assisted single-point incremental forming. The International Journal of Advanced Manufacturing Technology. 107(1-2). 945–957. 7 indexed citations
7.
Mocko, Gregory, et al.. (2020). Effects Of w’ Depletion On The Torque Velocity Relationship In Cycling. Medicine & Science in Sports & Exercise. 52(7S). 264–264. 1 indexed citations
8.
Mocko, Gregory, et al.. (2019). A survey of mathematical models of human performance using power and energy. Sports Medicine - Open. 5(1). 54–54. 15 indexed citations
9.
Mocko, Gregory, et al.. (2016). Measuring the effects of goal alignment on innovative engineering design projects. International journal of engineering education. 32(1). 55–63. 1 indexed citations
10.
Garland, Anthony, Gregory Mocko, & Georges Fadel. (2014). Challenges in Designing and Manufacturing Fully Optimized Functional Gradient Material Objects. 3 indexed citations
11.
Mocko, Gregory, et al.. (2013). Use of Big Data and Knowledge Discovery to Create Data Backbones for Decision Support Systems. Procedia Computer Science. 20. 446–453. 39 indexed citations
12.
Miller, Michael G., et al.. (2013). Manufacturing Assembly Time Estimation Using Structural Complexity Metric Trained Artificial Neural Networks. Journal of Computing and Information Science in Engineering. 14(1). 10 indexed citations
13.
Caldwell, Benjamin W., et al.. (2012). The Effects of Language and Pruning on Function Structure Interpretability. Journal of Mechanical Design. 134(6). 20 indexed citations
14.
Brooks, Christopher & Gregory Mocko. (2011). A Method for Evaluating Manufacturing Change in Engineering Design. 1125–1134. 4 indexed citations
15.
Morkos, Beshoy, et al.. (2010). Requirements and Data Content Evaluation of Industry In-House Data Management System. 493–503. 18 indexed citations
16.
Maier, Jonathan R. A., Gregory Mocko, & Georges Fadel. (2009). Hierarchical Affordance Modeling. 397–404. 4 indexed citations
17.
Maier, Jonathan R. A., et al.. (2009). A Method for identifying requirements critical to mass reduction using DSMS and DMMS. 197–205. 2 indexed citations
18.
Summers, Joshua D., et al.. (2007). A Hierarchical Requirements Modeling Scheme to Support Engineering Innovation. Guidelines for a Decision Support Method Adapted to NPD Processes. 13 indexed citations
19.
Mocko, Gregory, et al.. (2007). A Modelling Scheme for Capturing and Analyzing Multi-Domain Design Information: a Hair Dryer Design Example. Guidelines for a Decision Support Method Adapted to NPD Processes. 6 indexed citations
20.
Mocko, Gregory, Richard Malak, Christiaan J. J. Paredis, & Russell S. Peak. (2004). A Knowledge Repository for Behavioral Models in Engineering Design. 943–952. 31 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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