Daniel Muñoz

1.4k citations
42 papers · 928 · h-index 18

Impact in

Papers in

Daniel Muñoz

40 papers receiving 911 citations

Peers

Daniel Muñoz
Comparison fields: 5 of 74
  • Physiology 698
  • Speech and Hearing 164
  • Experimental and Cognitive Psychology 182
  • Signal Processing 41
  • Artificial Intelligence 97
Replace Harold A. Cheyne with:
Harold A. Cheyne United States
Ken‐Ichi Sakakibara Japan
Laureano Moro-Velázquez United States
Jorge A. Gómez-García Spain
Thomas Law Hong Kong
Anne-Maria Laukkanen Finland
R. Martínez Spain
Kristin Precoda United States
Agustín Álvarez-Marquina Spain
Marwa Saleh Egypt
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Citations per field
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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 201379
4 201558
5 201648
6 201347
7 201347
8 201643
9 201237
10 201437
11 201235
12 201332
13 201028
14 202024
15 201024
16 201323
17 201521
18 201219
19 201517
20 201816

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 928 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 (698 citations), Speech and Hearing (164 citations), Experimental and Cognitive Psychology (182 citations), Signal Processing (41 citations) and Artificial Intelligence (97 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, Adam D. Rubin, Cristina Jackson‐Menaldi, Jayme R. Dowdall and Anne-Maria Laukkanen. Their work appears in journals such as Journal of Voice, Folia Phoniatrica et Logopaedica, Logopedics Phoniatrics Vocology, IEEE Communications Letters and IEEE Transactions on Communications.

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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