Ivan Dokmanić

2.6k citations
58 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

Ivan Dokmanić

54 papers receiving 1.2k citations

Ivan Dokmanić's Hit Papers

Euclidean Distance Matrices: Essential theory, algorithms, and applications 2015 · 371 citations
3710+3+7Years since publication100200300

Peers

Ivan Dokmanić
Comparison fields: 5 of 148
  • Signal Processing 419
  • Computational Mechanics 232
  • Acoustics and Ultrasonics 9
  • Computer Vision and Pattern Recognition 166
  • Electrical and Electronic Engineering 411
Replace Yngve Selén with:
Yngve Selén Sweden
Mark E. Oxley United States
Debashis Paul United States
Ali Pezeshki United States
David Brie France
Sailes K. Sengupta United States
Jonathan Blackledge United Kingdom
Juri Ranieri Switzerland
Raviv Raich United States
Roman Garnett United States
Ivan Dokmanić relative to Yngve Selén Sweden Yngve Selén's profile →
Citations per field
00.5×4.5×
Yngve Selén · 1×
Citations per year

Countries citing papers authored by Ivan Dokmanić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 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 →
2015371
2 2008196
3 2013166
4 201161
5 201652
6 201533
7 201926
8 201626
9 201424
10 201222
11 202221
12 201520
13 201115
14 201415
15 201314
16 201313
17 201413
18 201413
19 201211
20 201510

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 58 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), Sparse and Compressive Sensing Techniques (12 papers), Medical Imaging Techniques and Applications (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 (419 citations), Computational Mechanics (232 citations), Acoustics and Ultrasonics (9 citations), Computer Vision and Pattern Recognition (166 citations) and Electrical and Electronic Engineering (411 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 Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.

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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