Eric R. Marsh

833 citations
41 papers · 704 · h-index 15

Impact in

Papers in

Eric R. Marsh

40 papers receiving 671 citations

Peers

Eric R. Marsh
Comparison fields: 5 of 52
  • Mechanical Engineering 499
  • Biomedical Engineering 424
  • Statistics, Probability and Uncertainty 47
  • Control and Systems Engineering 100
  • Computational Mechanics 83
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Citations per year

Countries citing papers authored by Eric R. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Eric R. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Eric R. Marsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric R. Marsh Line = papers co-authored together Eric R. Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004110
2 200469
3 200963
4 200753
5 200540
6 199633
7 200633
8 200526
9 200822
10 200421
11 200420
12 199720
13 199819
14 199415
15 200515
16 200815
17 199813
18 200513
19
The effects of spindle dynamics on precision flycutting
200512
20 200511

About Eric R. Marsh

Eric R. Marsh is a scholar working on Mechanical Engineering, Biomedical Engineering, Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Mechanics, having authored 41 papers that have together received 704 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (24 papers), Advanced machining processes and optimization (23 papers), Advanced Measurement and Metrology Techniques (18 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Advanced Machining and Optimization Techniques (4 papers), Tunneling and Rock Mechanics (3 papers), Force Microscopy Techniques and Applications (3 papers) and Diamond and Carbon-based Materials Research (3 papers). The work is most often cited by research in Mechanical Engineering (499 citations), Biomedical Engineering (424 citations), Statistics, Probability and Uncertainty (47 citations), Control and Systems Engineering (100 citations) and Computational Mechanics (83 citations). Eric R. Marsh has collaborated with scholars based in United States and Canada. Frequent co-authors include R. Ryan Vallance, Chris Morgan, Jeremiah A. Couey, Brian P. O’Connor, Alexander Henry Slocum, Philip T. Smith, Layton C. Hale, Douglas H. Smith, Jue Wang and Matthew A. Davies. Their work appears in journals such as Precision Engineering, Journal of Manufacturing Science and Engineering, Review of Scientific Instruments, Journal of Sound and Vibration and Journal of Micromechanics and Microengineering.

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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