Ellen M. Eide

1k citations
32 papers · 759 · h-index 14

Impact in

Papers in

Ellen M. Eide

31 papers receiving 637 citations

Peers

Ellen M. Eide
Comparison fields: 5 of 31
  • Artificial Intelligence 687
  • Signal Processing 51
  • Experimental and Cognitive Psychology 71
  • Occupational Therapy 6
  • Human Factors and Ergonomics 2
Replace Mats Blomberg with:
Mats Blomberg Sweden
Esther Klabbers United States
Julie Carson-Berndsen Ireland
Victor Abrash United States
Silke M. Witt United States
Dessi Puji Lestari Indonesia
Paul Dalsgaard Denmark
Mike Plumpe United States
Wai-Kit Lo Hong Kong
Rüdiger Hoffmann Germany
Ellen M. Eide relative to Mats Blomberg Sweden Mats Blomberg's profile →
Citations per field
00.5×1.5×2×2.3×
Mats Blomberg · 1×
Citations per year

Countries citing papers authored by Ellen M. Eide

Since Specialization
Citations

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

Fields of papers citing papers by Ellen M. Eide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen M. Eide. 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 Ellen M. Eide. The network helps show where Ellen M. Eide may publish in the future.

Co-authors

The 25 scholars most cited alongside Ellen M. Eide, 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 Ellen M. Eide Line = papers co-authored together Ellen M. Eide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002174
2 2006101
3 199861
4
A corpus-based approach to expressive speech synthesis.
200452
5 200151
6 200433
7 200331
8 200228
9 200228
10 199322
11
Current status of the IBM Trainable Speech Synthesis System.
200122
12 200222
13 199917
14 200415
15 199914
16 200213
17 200411
18 200510
19 20029
20 20049

About Ellen M. Eide

Ellen M. Eide is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 32 papers that have together received 759 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (29 papers), Music Technology and Sound Studies (2 papers), Phonetics and Phonology Research (2 papers), Speech and Audio Processing (1 paper), Electronic Health Records Systems (1 paper), Technology and Human Factors in Education and Health (1 paper), Radiology practices and education (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (687 citations), Signal Processing (51 citations), Experimental and Cognitive Psychology (71 citations), Occupational Therapy (6 citations) and Human Factors and Ergonomics (2 citations). Ellen M. Eide has collaborated with scholars based in United States. Frequent co-authors include H. Gish, John F. Pitrelli, R. Bakis, Wael Hamza, Michael Picheny, Salim Roukos, C. Neti, Peder A. Olsen, R. Gopinath and Mark Gales. Their work appears in journals such as Scientific American, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, SSW and International Conference on Spoken Language Processing (ICSLP).

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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