Robert Pugh
Impact in
- Education top 10%
- Higher Education and Employability
- Education and Critical Thinking Development
- Technology-Enhanced Education Studies
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Authorship Attribution and Profiling
- Speech Recognition and Synthesis
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 2
- Speech Recognition and Synthesis 2
- Authorship Attribution and Profiling 1
-
- Music and Audio Processing 1
- Speech and Audio Processing 1
- Co-authors
- Joseph A. Rios (1 shared paper)Guangming Ling (1 shared paper)Keelan Evanini (4 shared papers)Yao Qian (4 shared papers)Aoife Cahill (1 shared paper)Shervin Malmasi (1 shared paper)Joel Tetreault (1 shared paper)Diane Napolitano (1 shared paper)
- Journals
- Educational Researcher (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Robert Pugh
6 papers receiving 270 citations
Robert Pugh's Hit Papers
Peers
Comparison fields: 5 of 67
- Education 115
- Artificial Intelligence 113
- Computer Science Applications 19
- Management of Technology and Innovation 19
- Developmental and Educational Psychology 28
Countries citing papers authored by Robert Pugh
This map shows the geographic impact of Robert Pugh'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 Robert Pugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pugh more than expected).
Fields of papers citing papers by Robert Pugh
This network shows the impact of papers produced by Robert Pugh. 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 Robert Pugh. The network helps show where Robert Pugh may publish in the future.
Co-authors
The 18 scholars most cited alongside Robert Pugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identifying Critical 21st-Century Skills for Workplace Success: A Content Analysis of Job Advertisements Hit paper breakdown → | 2020 | 192 |
| 2 | 2017 | 64 | |
| 3 | 2019 | 15 | |
| 4 | 2019 | 11 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 |
About Robert Pugh
Robert Pugh is a scholar working on Artificial Intelligence, Signal Processing, Social Psychology, Safety Research and Education, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (2 papers), Speech Recognition and Synthesis (2 papers), Music and Audio Processing (1 paper), Speech and Audio Processing (1 paper), Career Development and Diversity (1 paper), Authorship Attribution and Profiling (1 paper) and Grit, Self-Efficacy, and Motivation (1 paper). The work is most often cited by research in Education (115 citations), Artificial Intelligence (113 citations), Computer Science Applications (19 citations), Management of Technology and Innovation (19 citations) and Developmental and Educational Psychology (28 citations). Robert Pugh has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Joseph A. Rios, Guangming Ling, Keelan Evanini, Yao Qian, Aoife Cahill, Shervin Malmasi, Joel Tetreault, Diane Napolitano, Brian Riordan and Patrick Lange. Their work appears in journals such as Educational Researcher.
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.