Javier S. Turek
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Harold S. StoneJoel L. WolfDennis ShashaIrad YavnehMichael EladPhilip HeidelbergerJanice M. StonePhilip S. Yu
- Topics
- Distributed systems and fault tolerance (6 papers)Image and Signal Denoising Methods (5 papers)Sparse and Compressive Sensing Techniques (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingComputerIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesIsrael
In The Last Decade
Javier S. Turek
29 papers receiving 491 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 369
- Hardware and Architecture 197
- Information Systems 96
- Signal Processing 64
- Artificial Intelligence 64
Countries citing papers authored by Javier S. Turek
This map shows the geographic impact of Javier S. Turek'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 Javier S. Turek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier S. Turek more than expected).
Fields of papers citing papers by Javier S. Turek
This network shows the impact of papers produced by Javier S. Turek. 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 Javier S. Turek. The network helps show where Javier S. Turek may publish in the future.
Co-authorship network of co-authors of Javier S. Turek
This figure shows the co-authorship network connecting the top 25 collaborators of Javier S. Turek. A scholar is included among the top collaborators of Javier S. Turek 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 Javier S. Turek. Javier S. Turek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech | 1 |
| 5 | 11 | |
| 6 | A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions | 5 |
| 7 | A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between | 1 |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 7 | |
| 11 | A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation | 20 |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 72 | |
| 19 | 37 | |
| 20 | Beyond Fail-Stop: Wait-Free Serializability and Resiliency in the Presence of Slow-Down Failures | 2 |
About Javier S. Turek
Javier S. Turek is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 533 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Image and Signal Denoising Methods (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (197 citations), Computer Networks and Communications (369 citations) and Signal Processing (64 citations). Javier S. Turek has collaborated with scholars based in United States and Israel. Frequent co-authors include Harold S. Stone, Joel L. Wolf, Dennis Shasha, Irad Yavneh, Michael Elad, Philip Heidelberger, Janice M. Stone, Philip S. Yu, D.M. Dias and Eran Treister. Their work appears in journals such as IEEE Transactions on Signal Processing, Computer and IEEE Transactions on Knowledge and Data Engineering.
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.