Daniel Muñoz

1.4k citations
42 papers · 907 · h-index 18

Impact in

Papers in

Daniel Muñoz

40 papers receiving 892 citations

Peers

Daniel Muñoz
Comparison fields: 5 of 72
  • Physiology 691
  • Speech and Hearing 164
  • Experimental and Cognitive Psychology 182
  • Signal Processing 37
  • Artificial Intelligence 96
Replace Harold A. Cheyne with:
Harold A. Cheyne United States
Thomas Law Hong Kong
Anne-Maria Laukkanen Finland
Jorge A. Gómez-García Spain
Laureano Moro-Velázquez United States
Patricia Gramming Sweden
Jan Gauffin Sweden
Ken‐Ichi Sakakibara Japan
Carla Lopes Portugal
Marwa Saleh Egypt
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Citations per field
00.5×3.4×
Harold A. Cheyne · 1×
Citations per year

Countries citing papers authored by Daniel Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201687
3 201378
4 201557
5 201647
6 201347
7 201345
8 201643
9 201236
10 201235
11 201435
12 201331
13 201025
14 202023
15 201323
16 201521
17 201021
18 201219
19 201516
20 201815

About Daniel Muñoz

Daniel Muñoz is a scholar working on Physiology, Electrical and Electronic Engineering, Experimental and Cognitive Psychology, Computer Networks and Communications and Speech and Hearing, having authored 42 papers that have together received 907 indexed citations. Recurring topics across this work include Voice and Speech Disorders (20 papers), Phonetics and Phonology Research (6 papers), Advanced MIMO Systems Optimization (5 papers), Dysphagia Assessment and Management (5 papers), Advanced Power Amplifier Design (4 papers), Cooperative Communication and Network Coding (3 papers), Full-Duplex Wireless Communications (3 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Physiology (691 citations), Speech and Hearing (164 citations), Experimental and Cognitive Psychology (182 citations), Signal Processing (37 citations) and Artificial Intelligence (96 citations). Daniel Muñoz has collaborated with scholars based in Chile, United States and Venezuela. Frequent co-authors include Marco Guzmán, Christian Olavarría, Hlaing Minn, Christian Castro, Ross Mayerhoff, Anne-Maria Laukkanen, Cristina Jackson‐Menaldi, Adam D. Rubin, Jayme R. Dowdall and Anne-Maria Laukkanen. Their work appears in journals such as Journal of Voice, Folia Phoniatrica et Logopaedica, IEEE Communications Letters, IEEE Transactions on Communications and Logopedics Phoniatrics Vocology.

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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