Robert Pugh
Impact in
- Education top 10%
- Higher Education and Employability
- Education and Critical Thinking Development
- Higher Education Learning Practices
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Authorship Attribution and Profiling
- Speech Recognition and Synthesis
Papers in
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- Natural Language Processing Techniques 10
- Speech Recognition and Synthesis 3
- Topic Modeling 3
- Authorship Attribution and Profiling 3
- Speech and dialogue systems 2
- Text Readability and Simplification 1
- Intelligent Tutoring Systems and Adaptive Learning 1
-
- Speech and Audio Processing 1
- Co-authors
- Joseph A. Rios (1 shared paper)Guangming Ling (1 shared paper)Yao Qian (6 shared papers)Keelan Evanini (5 shared papers)Diane Napolitano (1 shared paper)Shervin Malmasi (1 shared paper)Joel Tetreault (1 shared paper)Christopher L. Hamill (1 shared paper)
- Journals
- Educational Researcher (1 paper)Lecture notes in electrical engineering (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Robert Pugh
7 papers receiving 318 citations
Robert Pugh's Hit Papers
Peers
Comparison fields: 5 of 73
- Education 132
- Artificial Intelligence 127
- Computer Science Applications 21
- Management of Technology and Innovation 21
- Developmental and Educational Psychology 33
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 20 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 | 232 |
| 2 | 2017 | 69 | |
| 3 | 2019 | 16 | |
| 4 | 2019 | 15 | |
| 5 | 2017 | 11 | |
| 6 | 2019 | 5 | |
| 7 | 2017 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2018 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2018 | 0 |
About Robert Pugh
Robert Pugh is a scholar working on Artificial Intelligence, Signal Processing, Social Psychology, Experimental and Cognitive Psychology and Safety Research, having authored 12 papers that have together received 351 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (3 papers), Topic Modeling (3 papers), Authorship Attribution and Profiling (3 papers), Speech and dialogue systems (2 papers), Text Readability and Simplification (1 paper), Speech and Audio Processing (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Education (132 citations), Artificial Intelligence (127 citations), Computer Science Applications (21 citations), Management of Technology and Innovation (21 citations) and Developmental and Educational Psychology (33 citations). Robert Pugh has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Joseph A. Rios, Guangming Ling, Yao Qian, Keelan Evanini, Diane Napolitano, Shervin Malmasi, Joel Tetreault, Christopher L. Hamill, Aoife Cahill and Michael Flor. Their work appears in journals such as Educational Researcher and Lecture notes in electrical engineering.
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.