Nicholas D. Sidiropoulos
- Electrical and Electronic Engineering top 0.5%
- Computer Networks and Communications top 0.1%
- Signal Processing top 0.05%
- Computational Mathematics top 0.01%
- Computational Mechanics top 0.2%
- Co-authors
- Rasmus BroXiao FuKejun HuangGeorgios B. GiannakisTimothy N. DavidsonEvangelos E. PapalexakisZhi-Quan LuoChristos Faloutsos
- Topics
- Blind Source Separation Techniques (85 papers)Tensor decomposition and applications (74 papers)Sparse and Compressive Sensing Techniques (71 papers)
- Journals
- Nature reviews. CancerIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Physiology
- Partner nations
- United StatesGreeceHong Kong
In The Last Decade
Nicholas D. Sidiropoulos
344 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Electrical and Electronic Engineering 5.8k
- Computer Networks and Communications 4.2k
- Signal Processing 3.4k
- Computational Mathematics 3.2k
- Computational Mechanics 2.6k
Countries citing papers authored by Nicholas D. Sidiropoulos
This map shows the geographic impact of Nicholas D. Sidiropoulos'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 Nicholas D. Sidiropoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas D. Sidiropoulos more than expected).
Fields of papers citing papers by Nicholas D. Sidiropoulos
This network shows the impact of papers produced by Nicholas D. Sidiropoulos. 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 Nicholas D. Sidiropoulos. The network helps show where Nicholas D. Sidiropoulos may publish in the future.
Co-authorship network of co-authors of Nicholas D. Sidiropoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas D. Sidiropoulos. A scholar is included among the top collaborators of Nicholas D. Sidiropoulos 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 Nicholas D. Sidiropoulos. Nicholas D. Sidiropoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | Learning to Optimize: Training Deep Neural Networks for Interference Managementbreakdown → | 586 |
| 12 | Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling | 3 |
| 13 | 27 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | Communications and radar signal processing | 2 |
| 17 | 35 | |
| 18 | 27 | |
| 19 | Conference Record of the Asilomar Conference on Signals, Systems and Computers | 8 |
| 20 | 8 |
About Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics, having authored 360 papers that have together received 13.3k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (85 papers), Tensor decomposition and applications (74 papers) and Sparse and Compressive Sensing Techniques (71 papers). The work is most often cited by research in Computational Mathematics (3.2k citations), Signal Processing (3.4k citations) and Computer Networks and Communications (4.2k citations). Nicholas D. Sidiropoulos has collaborated with scholars based in United States, Greece and Hong Kong. Frequent co-authors include Rasmus Bro, Xiao Fu, Kejun Huang, Georgios B. Giannakis, Timothy N. Davidson, Evangelos E. Papalexakis, Zhi-Quan Luo, Christos Faloutsos, Goran Dimić and Zhi‐Quan Luo. Their work appears in journals such as Nature reviews. Cancer, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physiology.
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.