Julius Kusuma
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Kannan RamchandranS. Sandeep PradhanMartin VetterliIrena MaravićVivek K GoyalLance DohertyLav R. VarshneyAndrea Ridolfi
- Topics
- Mathematical Analysis and Transform Methods (6 papers)Image and Signal Denoising Methods (4 papers)Sparse and Compressive Sensing Techniques (4 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Julius Kusuma
26 papers receiving 622 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 403
- Electrical and Electronic Engineering 343
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 99
- Computational Mechanics 96
Countries citing papers authored by Julius Kusuma
This map shows the geographic impact of Julius Kusuma'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 Julius Kusuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julius Kusuma more than expected).
Fields of papers citing papers by Julius Kusuma
This network shows the impact of papers produced by Julius Kusuma. 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 Julius Kusuma. The network helps show where Julius Kusuma may publish in the future.
Co-authorship network of co-authors of Julius Kusuma
This figure shows the co-authorship network connecting the top 25 collaborators of Julius Kusuma. A scholar is included among the top collaborators of Julius Kusuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julius Kusuma. Julius Kusuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | TIP channel sounder program results summary report | 4 |
| 5 | 3 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 40 | |
| 18 | 395 | |
| 19 | 54 | |
| 20 | 2 |
About Julius Kusuma
Julius Kusuma is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 668 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (6 papers), Image and Signal Denoising Methods (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (403 citations), Signal Processing (83 citations) and Computer Vision and Pattern Recognition (136 citations). Julius Kusuma has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Kannan Ramchandran, S. Sandeep Pradhan, Martin Vetterli, Irena Maravić, Vivek K Goyal, Lance Doherty, Lav R. Varshney, Andrea Ridolfi, Edward J. Oughton and Caglar Yardim. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Signal Processing and IEEE Access.
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.