Javier S. Turek

1.1k total citations
29 papers, 533 citations indexed

About

Javier S. Turek is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Javier S. Turek has authored 29 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Javier S. Turek's work include Distributed systems and fault tolerance (6 papers), Image and Signal Denoising Methods (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Javier S. Turek is often cited by papers focused on Distributed systems and fault tolerance (6 papers), Image and Signal Denoising Methods (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Javier S. Turek collaborates with scholars based in United States and Israel. Javier S. Turek's co-authors include Harold S. Stone, Joel L. Wolf, Dennis Shasha, Michael Elad, Irad Yavneh, Janice M. Stone, Philip Heidelberger, Philip S. Yu, D.M. Dias and Eran Treister and has published in prestigious journals such as IEEE Transactions on Signal Processing, Computer and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Javier S. Turek

29 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Javier S. Turek United States	11	369	197	96	64	64	29	533
Michael Abrash United States	7	552 1.5×	578 2.9×	87 0.9×	29 0.5×	83 1.3×	13	864
Fredrik Kjølstad United States	14	285 0.8×	494 2.5×	62 0.6×	16 0.3×	204 3.2×	34	741
Stephen Junkins United States	6	551 1.5×	579 2.9×	83 0.9×	28 0.4×	75 1.2×	7	836
Nipun Arora United States	12	370 1.0×	140 0.7×	153 1.6×	17 0.3×	110 1.7×	38	550
Timo Schneider United States	16	572 1.6×	462 2.3×	183 1.9×	15 0.2×	63 1.0×	39	740
P.K. Dubey United States	8	331 0.9×	431 2.2×	30 0.3×	86 1.3×	59 0.9×	19	621
Kishore Kothapalli India	14	416 1.1×	217 1.1×	64 0.7×	38 0.6×	191 3.0×	76	665
R. H. Perrott United Kingdom	10	178 0.5×	137 0.7×	60 0.6×	24 0.4×	77 1.2×	46	429
Hyoung Joong Kim South Korea	11	184 0.5×	94 0.5×	32 0.3×	37 0.6×	44 0.7×	23	329

Countries citing papers authored by Javier S. Turek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Rivas, Pablo, et al.. (2023). An Empirical Analysis Towards Replacing Vocabulary-Rigid Embeddings by a Vocabulary-Free Mechanism. 1 indexed citations

Turek, Javier S., et al.. (2023). Humans and language models diverge when predicting repeating text. 58–69. 1 indexed citations

Rivas, Pablo, et al.. (2023). Aligning Word Embeddings from BERT to Vocabulary-Free Representations. 1. 108–115. 1 indexed citations

Jain, Shailee, et al.. (2020). Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. Neural Information Processing Systems. 33. 13738–13749. 1 indexed citations

Tamir, Jonathan I., Valentina Taviani, Marcus T. Alley, et al.. (2019). Targeted rapid knee MRI exam using T₂ shuffling. Journal of Magnetic Resonance Imaging. 49(7). e195–e204. 11 indexed citations

Gottschlich, Justin, et al.. (2019). A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. ScholarlyCommons (University of Pennsylvania). 32. 11623–11635. 5 indexed citations

Turek, Javier S., et al.. (2019). A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. 1 indexed citations

Anderson, Michael J., Mihai Capotă, Javier S. Turek, et al.. (2016). Enabling factor analysis on thousand-subject neuroimaging datasets. arXiv (Cornell University). 1151–1160. 11 indexed citations

Turek, Javier S., Jeremias Sulam, Michael Elad, & Irad Yavneh. (2015). Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. 793–797. 7 indexed citations

10.

Turek, Javier S., Michael Elad, & Irad Yavneh. (2015). Clutter Mitigation in Echocardiography Using Sparse Signal Separation. International Journal of Biomedical Imaging. 2015. 1–18. 21 indexed citations

11.

Treister, Eran & Javier S. Turek. (2014). A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. Neural Information Processing Systems. 27. 927–935. 20 indexed citations

12.

Turek, Javier S., Irad Yavneh, & Michael Elad. (2014). On MAP and MMSE estimators for the co-sparse analysis model. Digital Signal Processing. 28. 57–74. 12 indexed citations

13.

Turek, Javier S., Michael Elad, & Irad Yavneh. (2014). Sparse signal separation with an off-line learned dictionary for clutter reduction in echocardiography. 1–5. 4 indexed citations

14.

Turek, Javier S., et al.. (2008). Trace-based Performance Analysis on Cell BE. 213–222. 6 indexed citations

15.

Wolf, Joel L., D.M. Dias, Philip S. Yu, & Javier S. Turek. (2002). Comparative performance of parallel join algorithms. 78–88. 3 indexed citations

16.

Wolf, Joel L., Balakrishna R. Iyer, Krishna R. Pattipati, & Javier S. Turek. (2002). Optimal buffer partitioning for the nested block join algorithm. 510–519. 5 indexed citations

17.

Wolf, Joel L., D.M. Dias, Philip S. Yu, & Javier S. Turek. (1994). New algorithms for parallelizing relational database joins in the presence of data skew. IEEE Transactions on Knowledge and Data Engineering. 6(6). 990–997. 11 indexed citations

18.

Stone, Janice M., Harold S. Stone, Philip Heidelberger, & Javier S. Turek. (1993). Multiple reservations and the Oklahoma update. 1(4). 58–71. 72 indexed citations

19.

Wolf, Joel L., Philip S. Yu, Javier S. Turek, & D.M. Dias. (1993). A parallel hash join algorithm for managing data skew. IEEE Transactions on Parallel and Distributed Systems. 4(12). 1355–1371. 37 indexed citations

20.

Stone, Harold S., Javier S. Turek, & Joel L. Wolf. (1992). Optimal partitioning of cache memory. IEEE Transactions on Computers. 41(9). 1054–1068. 143 indexed citations

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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