Robert Pugh

583 total citations · 1 hit paper
8 papers, 293 citations indexed

About

Robert Pugh is a scholar working on Artificial Intelligence, Signal Processing and Social Psychology. According to data from OpenAlex, Robert Pugh has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Social Psychology. Recurrent topics in Robert Pugh's work include Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (2 papers) and Topic Modeling (2 papers). Robert Pugh is often cited by papers focused on Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (2 papers) and Topic Modeling (2 papers). Robert Pugh collaborates with scholars based in United States, Australia and China. Robert Pugh's co-authors include Joseph A. Rios, Guangming Ling, Keelan Evanini, Yao Qian, Diane Napolitano, Aoife Cahill, Shervin Malmasi, Joel Tetreault, Brian Riordan and Patrick Lange and has published in prestigious journals such as Educational Researcher.

In The Last Decade

Robert Pugh

6 papers receiving 270 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identifying Critical 21st-Century Skills for Workplace Success: A Content Analysis of Job Advertisements

2020 192 citations Joseph A. Rios, Guangming Ling et al. Educational Researcher profile →

Peers

Robert Pugh

EDUCA

AI

IS

DEP

SP

Sedigheh Shakib Kotamjani Malaysia

Astrid Schmulian South Africa

Keow Ngang Tang Thailand

Chima Abimbola Eden United Kingdom

Kay A. Persichitte United States

Prodhan Mahbub Ibna Seraj Bangladesh

Jiahui Luo Hong Kong

Mohammad Mahyoob Saudi Arabia

George Watson United States

Anissa M. Bettayeb United Arab Emirates

Sedigheh Shakib Kotamjani Malaysia

Robert Pugh

86 ×0.7

EDUCA

50 ×0.4

AI

36 ×1.0

IS

29 ×1.0

DEP

31 ×1.6

SP

Citations per year, relative to Robert Pugh Robert Pugh (= 1×) peers Sedigheh Shakib Kotamjani

Countries citing papers authored by Robert Pugh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Pugh

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Pugh, Robert, et al.. (2024). Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages. 236–246.

2.

Pugh, Robert & Francis M. Tyers. (2024). A Universal Dependencies Treebank for Highland Puebla Nahuatl. 1393–1403.

3.

Rios, Joseph A., et al.. (2020). Identifying Critical 21st-Century Skills for Workplace Success: A Content Analysis of Job Advertisements. Educational Researcher. 49(2). 80–89. 192 indexed citations breakdown →

4.

Riordan, Brian, Michael Flor, & Robert Pugh. (2019). How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models. 116–126. 11 indexed citations

5.

Qian, Yao, Patrick Lange, Keelan Evanini, et al.. (2019). Neural Approaches to Automated Speech Scoring of Monologue and Dialogue Responses. 8112–8116. 15 indexed citations

6.

Malmasi, Shervin, Keelan Evanini, Aoife Cahill, et al.. (2017). A Report on the 2017 Native Language Identification Shared Task. 64 indexed citations

7.

Qian, Yao, et al.. (2017). Improving native language (L1) identifation with better VAD and TDNN trained separately on native and non-native English corpora. 606–613. 3 indexed citations

8.

Qian, Yao, Keelan Evanini, Xinhao Wang, et al.. (2017). Improving Sub-Phone Modeling for Better Native Language Identification with Non-Native English Speech. 2586–2590. 8 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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