Ivan Dokmanić
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
- Sparse and Compressive Sensing Techniques
Papers in
-
- Speech and Audio Processing 19
-
- Sparse and Compressive Sensing Techniques 12
- Advanced Adaptive Filtering Techniques 7
- Co-authors
- Martin Vetterli (23 shared papers)Reza Parhizkar (3 shared papers)Juri Ranieri (5 shared papers)Mile Šikić (1 shared paper)Sanja Tomić (1 shared paper)Yue M. Lu (4 shared papers)Andreas Walther (1 shared paper)Robin Scheibler (3 shared papers)
- Journals
- IEEE Transactions on Signal Processing (6 papers)IEEE Transactions on Computational Imaging (5 papers)Proceedings of the National Academy of Sciences (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Acta Crystallographica Section D Structural Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Ivan Dokmanić
59 papers receiving 1.3k citations
Ivan Dokmanić's Hit Papers
Peers
Comparison fields: 5 of 145
- Signal Processing 420
- Computational Mechanics 232
- Acoustics and Ultrasonics 9
- Structural Biology 14
- Computer Vision and Pattern Recognition 171
Countries citing papers authored by Ivan Dokmanić
This map shows the geographic impact of Ivan Dokmanić'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 Ivan Dokmanić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Dokmanić more than expected).
Fields of papers citing papers by Ivan Dokmanić
This network shows the impact of papers produced by Ivan Dokmanić. 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 Ivan Dokmanić. The network helps show where Ivan Dokmanić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Dokmanić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Euclidean Distance Matrices: Essential theory, algorithms, and applications Hit paper breakdown → | 2015 | 385 |
| 2 | 2008 | 197 | |
| 3 | 2013 | 167 | |
| 4 | 2011 | 61 | |
| 5 | 2016 | 54 | |
| 6 | 2015 | 33 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2014 | 25 | |
| 10 | 2022 | 25 | |
| 11 | 2012 | 22 | |
| 12 | 2015 | 20 | |
| 13 | 2011 | 15 | |
| 14 | 2013 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2012 | 10 | |
| 20 | 2015 | 10 |
About Ivan Dokmanić
Ivan Dokmanić is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Indoor and Outdoor Localization Technologies (17 papers), Medical Imaging Techniques and Applications (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Seismic Imaging and Inversion Techniques (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Robotics and Sensor-Based Localization (5 papers) and Seismic Waves and Analysis (4 papers). The work is most often cited by research in Signal Processing (420 citations), Computational Mechanics (232 citations), Acoustics and Ultrasonics (9 citations), Structural Biology (14 citations) and Computer Vision and Pattern Recognition (171 citations). Ivan Dokmanić has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Martin Vetterli, Reza Parhizkar, Juri Ranieri, Mile Šikić, Sanja Tomić, Yue M. Lu, Andreas Walther, Robin Scheibler, Laurent Daudet and Sidharth Gupta. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Computational Imaging, Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Acta Crystallographica Section D Structural Biology.
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.