Keelan Evanini

91 papers receiving 935 citations

Peers

Keelan Evanini
Comparison fields: 5 of 68
  • Artificial Intelligence 803
  • Experimental and Cognitive Psychology 273
  • Signal Processing 253
  • Language and Linguistics 121
  • Linguistics and Language 119
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Countries citing papers authored by Keelan Evanini

Since Specialization
Citations

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

Fields of papers citing papers by Keelan Evanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keelan Evanini. 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 Keelan Evanini. The network helps show where Keelan Evanini may publish in the future.

Co-authorship network of co-authors of Keelan Evanini

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2
Game-based Spoken Dialog Language Learning Applications for Young Students.
1
3 18
4
Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC.
1
5 17
6
Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10.
1
7
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case.
3
8
Bootstrapping Development of a Cloud-Based Spoken Dialog System in the Educational Domain from Scratch Using Crowdsourced Data. Research Report. ETS RR-16-16.
1
9
Automated Scoring for the "TOEFL Junior"® Comprehensive Writing and Speaking Test. Research Report. ETS RR-15-09.
1
10
Automated Scoring of Speaking Tasks in the Test of English-for-Teaching ("TEFT"™). Research Report. ETS RR-15-31.
3
11 11
12 3
13 11
14
Prompt-based Content Scoring for Automated Spoken Language Assessment
11
15
Coherence Modeling for the Automated Assessment of Spontaneous Spoken Responses
13
16 10
17
Exploring Content Features for Automated Speech Scoring
48
18
Non-scorable Response Detection for Automated Speaking Proficiency Assessment
5
19
Using Amazon Mechanical Turk for Transcription of Non-Native Speech
32
20
How to formalize variation : Stochastic ot models and /S/ deletion in Spanish
0

About Keelan Evanini

Keelan Evanini is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (43 papers), Speech and dialogue systems (42 papers) and Natural Language Processing Techniques (31 papers). The work is most often cited by research in Linguistics and Language (119 citations), Artificial Intelligence (803 citations) and Signal Processing (253 citations). Keelan Evanini has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Xinhao Wang, Klaus Zechner, Yao Qian, David Suendermann‐Oeft, Shasha Xie, Vikram Ramanarayanan, Patrick Lange, Matthew Mulholland, Julia Hirschberg and Björn W. Schuller. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Assisted Language Learning and Journal of Signal Processing Systems.

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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