Steven Van Vaerenbergh
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Ignacio Santamarı́aMiguel Lázaro-GredillaJavier VíaSimone ScardapaneAurelio UnciniNeil D. LawrenceJosé C. Prı́ncipeWeifeng Liu
- Topics
- Blind Source Separation Techniques (14 papers)Advanced Adaptive Filtering Techniques (12 papers)Speech and Audio Processing (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingExpert Systems with Applications
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Steven Van Vaerenbergh
45 papers receiving 820 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 325
- Computational Mechanics 290
- Signal Processing 289
- Computer Vision and Pattern Recognition 175
- Control and Systems Engineering 164
Countries citing papers authored by Steven Van Vaerenbergh
This map shows the geographic impact of Steven Van Vaerenbergh'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 Steven Van Vaerenbergh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Van Vaerenbergh more than expected).
Fields of papers citing papers by Steven Van Vaerenbergh
This network shows the impact of papers produced by Steven Van Vaerenbergh. 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 Steven Van Vaerenbergh. The network helps show where Steven Van Vaerenbergh may publish in the future.
Co-authorship network of co-authors of Steven Van Vaerenbergh
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Van Vaerenbergh. A scholar is included among the top collaborators of Steven Van Vaerenbergh 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 Steven Van Vaerenbergh. Steven Van Vaerenbergh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 53 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 48 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | 17 | |
| 19 | 79 | |
| 20 | 15 |
About Steven Van Vaerenbergh
Steven Van Vaerenbergh is a scholar working on Signal Processing, Computer Science Applications and Computational Mechanics, having authored 51 papers that have together received 840 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (14 papers), Advanced Adaptive Filtering Techniques (12 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (289 citations), Computational Mechanics (290 citations) and Artificial Intelligence (325 citations). Steven Van Vaerenbergh has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Ignacio Santamarı́a, Miguel Lázaro-Gredilla, Javier Vía, Simone Scardapane, Aurelio Uncini, Neil D. Lawrence, José C. Prı́ncipe, Weifeng Liu, Amir Hussain and Luis A. Azpicueta-Ruiz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Expert Systems with Applications.
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.