Dušan Macho
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
Papers in
-
- Speech and Audio Processing 14
- Music and Audio Processing 8
-
- Speech Recognition and Synthesis 11
- Speech and dialogue systems 1
- Co-authors
- Climent Nadeu (11 shared papers)Andriy Temko (4 shared papers)Javier Hernando (3 shared papers)Robert Malkin (2 shared papers)Maurizio Omologo (1 shared paper)Josep R. Casas (1 shared paper)Javier Ruiz‐Hidalgo (1 shared paper)Joachim Neumann (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Speech Communication (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)Personal and Ubiquitous Computing (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- SpainUnited StatesSouth Korea
In The Last Decade
Dušan Macho
14 papers receiving 225 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 198
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 57
- Pharmacy 4
- Human-Computer Interaction 5
Countries citing papers authored by Dušan Macho
This map shows the geographic impact of Dušan Macho'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 Dušan Macho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dušan Macho more than expected).
Fields of papers citing papers by Dušan Macho
This network shows the impact of papers produced by Dušan Macho. 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 Dušan Macho. The network helps show where Dušan Macho may publish in the future.
Co-authors
The 15 scholars most cited alongside Dušan Macho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 80 | |
| 2 | 2007 | 44 | |
| 3 | CLEAR Evaluation of Acoustic Event Detection and Classification Systems | 2007 | 39 |
| 4 | ACOUSTIC EVENT DETECTION AND CLASSIFICATION IN SMART-ROOM ENVIRONMENTS: EVALUATION OF CHIL PROJECT SYSTEMS | 2006 | 20 |
| 5 | 2007 | 19 | |
| 6 | 2007 | 14 | |
| 7 | 2005 | 10 | |
| 8 | 2011 | 6 | |
| 9 | 2004 | 6 | |
| 10 | 2001 | 5 | |
| 11 | 1999 | 4 | |
| 12 | 2007 | 2 | |
| 13 | 1998 | 2 | |
| 14 | 2001 | 1 | |
| 15 | 2005 | 1 | |
| 16 | 2012 | 1 |
About Dušan Macho
Dušan Macho is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 16 papers that have together received 254 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (11 papers), Music and Audio Processing (8 papers), Indoor and Outdoor Localization Technologies (2 papers), Advanced Data Compression Techniques (2 papers), Speech and dialogue systems (1 paper), Video Analysis and Summarization (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Signal Processing (198 citations), Artificial Intelligence (151 citations), Computer Vision and Pattern Recognition (57 citations), Pharmacy (4 citations) and Human-Computer Interaction (5 citations). Dušan Macho has collaborated with scholars based in Spain, United States and South Korea. Frequent co-authors include Climent Nadeu, Andriy Temko, Javier Hernando, Robert Malkin, Maurizio Omologo, Josep R. Casas, Javier Ruiz‐Hidalgo, Joachim Neumann, Alberto Abad and Carlos Segura. Their work appears in journals such as Pattern Recognition, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, Personal and Ubiquitous Computing and Lecture notes in computer science.
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.