Dušan Macho

601 citations
16 papers · 254 · h-index 7

Impact in

Papers in

Dušan Macho

14 papers receiving 225 citations

Peers

Dušan Macho
Comparison fields: 5 of 49
  • Signal Processing 198
  • Artificial Intelligence 151
  • Computer Vision and Pattern Recognition 57
  • Human-Computer Interaction 5
  • Statistics and Probability 7
Replace Yannis Agiomyrgiannakis with:
Yannis Agiomyrgiannakis Greece
Matt Shannon United Kingdom
K.K. Paliwal Australia
Israel D. Gebru United States
Ananth Sankar United States
Bartosz Ziółko Poland
Steffen Zeiler Germany
R.A. Sukkar United States
Ahmed Hussen Abdelaziz Germany
Dušan Macho relative to Yannis Agiomyrgiannakis Greece Yannis Agiomyrgiannakis's profile →
Citations per field
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Yannis Agiomyrgiannakis · 1×
Citations per year

Countries citing papers authored by Dušan Macho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dušan Macho Line = papers co-authored together Dušan Macho links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200180
2 200744
3
CLEAR Evaluation of Acoustic Event Detection and Classification Systems
200739
4
ACOUSTIC EVENT DETECTION AND CLASSIFICATION IN SMART-ROOM ENVIRONMENTS: EVALUATION OF CHIL PROJECT SYSTEMS
200620
5 200719
6 200714
7 200510
8 20116
9 20046
10 20015
11 19994
12 20072
13 19982
14 20121
15 20011
16 20051

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), Fault Detection and Control Systems (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Speech and dialogue systems (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), Human-Computer Interaction (5 citations) and Statistics and Probability (7 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, Joachim Neumann, Javier Ruiz‐Hidalgo, Josep R. Casas, Carlos Segura and Alberto Abad. Their work appears in journals such as Pattern Recognition, Personal and Ubiquitous Computing, IEEE Transactions on Audio Speech and Language Processing, Speech Communication 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.

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