Dušan Macho

23 papers receiving 432 citations

Peers

Dušan Macho
Comparison fields: 5 of 55
  • Signal Processing 381
  • Artificial Intelligence 254
  • Computer Vision and Pattern Recognition 134
  • Developmental Biology 6
  • Pharmacy 8
Replace Dongsuk Yook with:
Dongsuk Yook South Korea
David Sodoyer France
Niksa M. Jakovljevic Serbia
Cheong-Fat Chan Hong Kong
José L. Pérez-Córdoba Spain
Thomas Kemp Germany
Xavier Favory Spain
Israel D. Gebru United States
S. Gurbuz United States
Harvey Lloyd-Thomas United Kingdom
Dušan Macho relative to Dongsuk Yook South Korea Dongsuk Yook's profile →
Citations per field
00.5×1.5×2×
Dongsuk Yook · 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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200199
2 200791
3 200949
4 200747
5
CLEAR Evaluation of Acoustic Event Detection and Classification Systems
200747
6
ACOUSTIC EVENT DETECTION AND CLASSIFICATION IN SMART-ROOM ENVIRONMENTS: EVALUATION OF CHIL PROJECT SYSTEMS
200623
7 200723
8 200717
9 200714
10 200511
11 200710
12 20046
13 20116
14 20015
15 20064
16 20094
17 19994
18 20053
19 19983
20 20072

About Dušan Macho

Dušan Macho is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Mechanics, having authored 24 papers that have together received 474 indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (17 papers), Music and Audio Processing (13 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Data Compression Techniques (2 papers), Advanced Chemical Sensor Technologies (1 paper), Face recognition and analysis (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Signal Processing (381 citations), Artificial Intelligence (254 citations), Computer Vision and Pattern Recognition (134 citations), Developmental Biology (6 citations) and Pharmacy (8 citations). Dušan Macho has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Climent Nadeu, Andriy Temko, Javier Hernando, Robert Malkin, Maurizio Omologo, Josep R. Casas, Joachim Neumann, Javier Ruiz‐Hidalgo, Carlos Andrés Salas Segura and Alberto Abad. Their work appears in journals such as Pattern Recognition, Personal and Ubiquitous Computing, Speech Communication, IEEE Transactions on Audio Speech and Language Processing 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.

Explore authors with similar magnitude of impact