Michael R. Raugh

626 total citations
16 papers, 410 citations indexed

About

Michael R. Raugh is a scholar working on Mechanical Engineering, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Michael R. Raugh has authored 16 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 4 papers in Artificial Intelligence and 4 papers in Language and Linguistics. Recurrent topics in Michael R. Raugh's work include Advanced Measurement and Metrology Techniques (8 papers), Advancements in Photolithography Techniques (4 papers) and Advanced Surface Polishing Techniques (4 papers). Michael R. Raugh is often cited by papers focused on Advanced Measurement and Metrology Techniques (8 papers), Advancements in Photolithography Techniques (4 papers) and Advanced Surface Polishing Techniques (4 papers). Michael R. Raugh collaborates with scholars based in United States. Michael R. Raugh's co-authors include Richard C. Atkinson, Jun Ye, C. N. Berglund, Syed A. Rizvi, James M. Minor, R. F. W. Pease and Geraint Owen and has published in prestigious journals such as Communications of the ACM, Journal of Educational Psychology and Instructional Science.

In The Last Decade

Michael R. Raugh

16 papers receiving 330 citations

Peers

Michael R. Raugh
Comparison fields: 5 of 47
  • Developmental and Educational Psychology 256
  • Experimental and Cognitive Psychology 138
  • Language and Linguistics 110
  • Artificial Intelligence 106
  • Cognitive Neuroscience 71
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Rebecca Lunsford United States
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Citations per field, relative to Michael R. Raugh
Michael R. Raugh · 1×
Citations per year, relative to Michael R. Raugh
Michael R. Raugh · 1×

Countries citing papers authored by Michael R. Raugh

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Raugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Raugh

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 10
2 7
3 2
4 15
5 4
6 3
7
Self-Consistency and Transitivity in Self-Calibration Procedures
3
8 2
9 5
10 24
11 17
12
Teaching a Large Russian Language Vocabulary by the Mnemonic Keyword Method. Psychology and Education Series, Technical Report No. 256.
1
13 111
14 204
15
A MNEMONIC METHOD FOR THE ACQUISITION OF A SECOND-LANGUAGE VOCABULARY
1
16
A Mnemonic Method for the Acquisition of a Second-Language Vocabulary. Psychology and Education Series, Technical Report No. 224.
1

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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