Larwan Berke

852 total citations
13 papers, 233 citations indexed

About

Larwan Berke is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction and Language and Linguistics. According to data from OpenAlex, Larwan Berke has authored 13 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Developmental and Educational Psychology, 8 papers in Human-Computer Interaction and 6 papers in Language and Linguistics. Recurrent topics in Larwan Berke's work include Hearing Impairment and Communication (10 papers), Hand Gesture Recognition Systems (7 papers) and Subtitles and Audiovisual Media (6 papers). Larwan Berke is often cited by papers focused on Hearing Impairment and Communication (10 papers), Hand Gesture Recognition Systems (7 papers) and Subtitles and Audiovisual Media (6 papers). Larwan Berke collaborates with scholars based in United States and Pakistan. Larwan Berke's co-authors include Matt Huenerfauth, Sushant Kafle, Rosalee Wolfe, Julie Hochgesang, John C. McDonald, Danielle Bragg, William Thies, Yingli Tian, Michael Stinson and Longlong Jing and has published in prestigious journals such as Language Resources and Evaluation, Universal Access in the Information Society and ACM Transactions on Accessible Computing.

In The Last Decade

Larwan Berke

13 papers receiving 228 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Larwan Berke United States 9 132 111 102 63 43 13 233
Sushant Kafle United States 7 78 0.6× 52 0.5× 78 0.8× 31 0.5× 19 0.4× 9 151
Sarah Ebling Switzerland 11 181 1.4× 217 2.0× 48 0.5× 41 0.7× 78 1.8× 40 325
Karin Harbusch Germany 10 37 0.3× 52 0.5× 54 0.5× 52 0.8× 22 0.5× 45 262
Julie Hochgesang United States 7 134 1.0× 114 1.0× 53 0.5× 29 0.5× 54 1.3× 18 180
Inge Zwitserlood Netherlands 9 239 1.8× 161 1.5× 160 1.6× 25 0.4× 30 0.7× 21 319
Noëlle Carbonell France 9 22 0.2× 83 0.7× 13 0.1× 60 1.0× 54 1.3× 34 249
Benjamin M. Gorman United Kingdom 7 19 0.1× 36 0.3× 27 0.3× 39 0.6× 15 0.3× 15 122
Hind M. Alotaibi Saudi Arabia 9 37 0.3× 8 0.1× 59 0.6× 17 0.3× 14 0.3× 33 212
Catherine Vaucelle United States 5 76 0.6× 67 0.6× 10 0.1× 25 0.4× 35 0.8× 6 273
Ticianne Darin Brazil 8 38 0.3× 75 0.7× 5 0.0× 61 1.0× 24 0.6× 59 189

Countries citing papers authored by Larwan Berke

Since Specialization
Citations

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

Fields of papers citing papers by Larwan Berke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larwan Berke

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

All Works

13 of 13 papers shown
1.
Berke, Larwan, et al.. (2020). An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers. Language Resources and Evaluation. 89–94. 3 indexed citations
2.
3.
Berke, Larwan, William Thies, & Danielle Bragg. (2020). Chat in the Hat: A Portable Interpreter for Sign Language Users. 1–11. 8 indexed citations
4.
Berke, Larwan, et al.. (2019). Design and Psychometric Evaluation of American Sign Language Translations of Usability Questionnaires. ACM Transactions on Accessible Computing. 12(2). 1–43. 16 indexed citations
5.
6.
Berke, Larwan, et al.. (2018). Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations. 259–270. 23 indexed citations
7.
Berke, Larwan, Sushant Kafle, & Matt Huenerfauth. (2018). Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels. 1–12. 33 indexed citations
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Berke, Larwan, et al.. (2017). Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions. RIT Scholar Works (Rochester Institute of Technology). 5. 4 indexed citations
10.
11.
Berke, Larwan. (2017). Displaying confidence from imperfect automatic speech recognition for captioning. ACM SIGACCESS Accessibility and Computing. 14–18. 9 indexed citations
12.
McDonald, John C., et al.. (2015). An automated technique for real-time production of lifelike animations of American Sign Language. Universal Access in the Information Society. 15(4). 551–566. 36 indexed citations
13.
Wolfe, Rosalee, et al.. (2014). Expanding n-gram analytics in ELAN and a case study for sign synthesis. Language Resources and Evaluation. 1880–1885. 1 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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2026