Beatrice T. Oshika

567 citations
20 papers · 416 indexed · h-index 8

Beatrice T. Oshika

17 papers receiving 339 citations

Peers

Beatrice T. Oshika
Comparison fields: 5 of 39
  • Signal Processing 251
  • Artificial Intelligence 364
  • Experimental and Cognitive Psychology 78
  • Linguistics and Language 16
  • Computational Mathematics 1
Replace V.R.R. Gadde with:
V.R.R. Gadde United States
Rong Tong Singapore
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Citations per year

Countries citing papers authored by Beatrice T. Oshika

Since Specialization
Citations

This map shows the geographic impact of Beatrice T. Oshika'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 Beatrice T. Oshika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice T. Oshika more than expected).

Fields of papers citing papers by Beatrice T. Oshika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatrice T. Oshika. 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 Beatrice T. Oshika. The network helps show where Beatrice T. Oshika may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Beatrice T. Oshika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beatrice T. Oshika Line = papers co-authored together Beatrice T. Oshika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Normalization for Automated Metrics: English and Arabic Speech Translation
20096
2 20092
3
Applying Automated Metrics to Speech Translation Dialogs.
20089
4 20051
5 20017
6
Evaluating Multi-party Multi-modal Systems
20005
7 20007
8 20001
9 19960
10 199529
11 199410
12 19947
13 1992191
14 198810
15 197761
16 19761
17 19751
18 197567
19
A Natural Language Processing Package
19751
20
On the Role of Discourse in the Teaching of Thai.
19720

About Beatrice T. Oshika

Beatrice T. Oshika is a scholar working on Artificial Intelligence, Communication, Experimental and Cognitive Psychology, Linguistics and Language and Signal Processing, having authored 20 papers that have together received 416 indexed citations. Recurring topics across this work include Speech and dialogue systems (7 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (6 papers), Topic Modeling (4 papers), Team Dynamics and Performance (3 papers), Phonetics and Phonology Research (3 papers), Knowledge Management and Sharing (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Signal Processing (251 citations), Artificial Intelligence (364 citations), Experimental and Cognitive Psychology (78 citations), Linguistics and Language (16 citations) and Computational Mathematics (1 citation). Beatrice T. Oshika has collaborated with scholars based in United States. Frequent co-authors include Ronald A. Cole, Yeshwant K. Muthusamy, J. Markel, Alfred Gray, Victor W. Zue, Marie‐Pascale Noël, Mark Fanty, Bruce J. W. Evans, Laurie Damianos and Sherri Condon. Their work appears in journals such as The Journal of the Acoustical Society of America, Language Resources and Evaluation and IEEE Transactions on Acoustics Speech and Signal Processing.

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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