Ante Jukić
- Computational Mathematics top 1%
- Signal Processing top 2%
- Speech and Audio Processing 22
- Blind Source Separation Techniques 6
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- Rheology and Fluid Dynamics Studies 13
- Polymers and Plastics top 10%
- Polymer Nanocomposites and Properties 14
- Metals and Alloys top 10%
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- Lubricants and Their Additives 17
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- Advanced Adaptive Filtering Techniques 16
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- Speech Recognition and Synthesis 11
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- Advanced Polymer Synthesis and Characterization 10
Ante Jukić
79 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Computational Mathematics 89
- Signal Processing 272
- Fluid Flow and Transfer Processes 82
- Polymers and Plastics 177
- Metals and Alloys 31
Countries citing papers authored by Ante Jukić
This map shows the geographic impact of Ante Jukić'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 Ante Jukić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ante Jukić more than expected).
Fields of papers citing papers by Ante Jukić
This network shows the impact of papers produced by Ante Jukić. 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 Ante Jukić. The network helps show where Ante Jukić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ante Jukić, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2017 | 2 | |
| 8 | A framework for multi-channel speech dereverberation by exploiting sparsity | 2016 | 1 |
| 9 | 2015 | 44 | |
| 10 | Efficient penetration depth approximation using active learning | 2013 | 5 |
| 11 | Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles | 2013 | 2 |
| 12 | 2013 | 92 | |
| 13 | PREDICTION OF USED LUBRICATING OILS PROPERTIES BY INFRARED SPECTROSCOPY USING MULTIVARIATE ANALYSIS | 2012 | 8 |
| 14 | Spacer groups in macromolecular structures | 2010 | 2 |
| 15 | Viscosity and rheological properties of mineral lubricating oils containing dispersant polymethacrylate additives | 2010 | 0 |
| 16 | 2009 | 0 | |
| 17 | Free Radical Grafting of Methyl Methacrylate onto Ethylene-Propylene Amorphous Copolymer | 2009 | 3 |
| 18 | 2009 | 5 | |
| 19 | Kinetički model polimerizacije uz difunkcionalni peroksidni inicijator | 2008 | 0 |
| 20 | 2001 | 33 |
About Ante Jukić
Ante Jukić is a scholar working on Computational Mathematics, Signal Processing and Fluid Flow and Transfer Processes, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Lubricants and Their Additives (17 papers), Advanced Adaptive Filtering Techniques (16 papers), Polymer Nanocomposites and Properties (14 papers), Rheology and Fluid Dynamics Studies (13 papers), Speech Recognition and Synthesis (11 papers), Advanced Polymer Synthesis and Characterization (10 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Computational Mathematics (89 citations), Signal Processing (272 citations) and Fluid Flow and Transfer Processes (82 citations). Ante Jukić has collaborated with scholars based in Croatia, Germany and United States. Frequent co-authors include Mirjana Metikoš‐Huković, Simon Doclo, Elvira Vidović, Fabio Faraguna, Zvonimir Janović, Toon van Waterschoot, Timo Gerkmann, Sasha Omanovic, R. Babić and Marko Rogošić. Their work appears in journals such as European Polymer Journal, Renewable Energy, Electrochimica Acta, Journal of Thermal Analysis and Calorimetry and Polymer International.
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.