Abeer Alwan

5.1k citations
240 papers · 3.5k · h-index 29

Impact in

Papers in

Abeer Alwan

216 papers receiving 3.2k citations

Peers

Abeer Alwan
Comparison fields: 5 of 112
  • Signal Processing 1.6k
  • Experimental and Cognitive Psychology 1.5k
  • Linguistics and Language 324
  • Artificial Intelligence 2.0k
  • Developmental Biology 131
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Gunnar Fant Sweden
Brad H. Story United States
Carol Espy-Wilson United States
Hideki Kawahara Japan
James Hillenbrand United States
Andrew J. Lotto United States
Elmar Nöth Germany
Thierry Dutoit Belgium
Katherine S. Harris United States
Joseph S. Perkell United States
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Citations per field
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Citations per year

Countries citing papers authored by Abeer Alwan

Since Specialization
Citations

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

Fields of papers citing papers by Abeer Alwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997189
2 2007169
3 2011164
4 1995150
5 2000116
6 199787
7 200287
8 200383
9 201478
10 201266
11 200964
12 199563
13 200960
14 201855
15
Text to Speech Synthesis: New Paradigms and Advances
200443
16 200642
17 200542
18 201541
19 201839
20 201139

About Abeer Alwan

Abeer Alwan is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Physiology and Cognitive Neuroscience, having authored 240 papers that have together received 3.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (157 papers), Speech and Audio Processing (128 papers), Phonetics and Phonology Research (80 papers), Music and Audio Processing (56 papers), Voice and Speech Disorders (48 papers), Hearing Loss and Rehabilitation (22 papers), Speech and dialogue systems (16 papers) and Advanced Adaptive Filtering Techniques (13 papers). The work is most often cited by research in Signal Processing (1.6k citations), Experimental and Cognitive Psychology (1.5k citations), Linguistics and Language (324 citations), Artificial Intelligence (2.0k citations) and Developmental Biology (131 citations). Abeer Alwan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Shrikanth Narayanan, Katherine Haker, Yen-Liang Shue, Thomas Drugman, Markus Iseli, Jody Kreiman, Wei Chu, Shrikanth Narayanan, Patricia Keating and Jintao Jiang. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and IEEE Signal Processing Letters.

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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