Sergio D. Cabrera

688 total citations
98 papers, 451 citations indexed

About

Sergio D. Cabrera is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Sergio D. Cabrera has authored 98 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 14 papers in Media Technology. Recurrent topics in Sergio D. Cabrera's work include Image and Signal Denoising Methods (36 papers), Advanced Data Compression Techniques (23 papers) and Digital Filter Design and Implementation (13 papers). Sergio D. Cabrera is often cited by papers focused on Image and Signal Denoising Methods (36 papers), Advanced Data Compression Techniques (23 papers) and Digital Filter Design and Implementation (13 papers). Sergio D. Cabrera collaborates with scholars based in United States, Mexico and Australia. Sergio D. Cabrera's co-authors include T.W. Parks, Olga Kosheleva, Jerram L. Brown, H. Nazeran, E. Vidal, Gabriel Thomas, J. René Villalobos, Benjamin C. Flores, Ric A. Romero and Maria Carmela Tartaglia and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Sergio D. Cabrera

82 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio D. Cabrera United States 10 188 96 88 82 69 98 451
Thomas Bülow Germany 12 406 2.2× 68 0.7× 104 1.2× 68 0.8× 63 0.9× 31 768
Jeroen Hermans Belgium 13 303 1.6× 142 1.5× 39 0.4× 89 1.1× 60 0.9× 37 569
Yves Goussard Canada 15 118 0.6× 112 1.2× 78 0.9× 207 2.5× 35 0.5× 56 655
F. Salzenstein France 15 228 1.2× 55 0.6× 72 0.8× 91 1.1× 25 0.4× 29 591
Oumar Niang France 6 324 1.7× 39 0.4× 91 1.0× 43 0.5× 24 0.3× 13 798
Victor Sucic Croatia 12 272 1.4× 107 1.1× 260 3.0× 82 1.0× 32 0.5× 65 648
Thomas S. Huang United States 8 325 1.7× 42 0.4× 46 0.5× 24 0.3× 73 1.1× 14 481
Nathalie Delprat France 7 222 1.2× 187 1.9× 101 1.1× 53 0.6× 153 2.2× 11 664
Liron Yatziv United States 7 502 2.7× 57 0.6× 15 0.2× 44 0.5× 46 0.7× 9 635
Gunnar Farnebäck Sweden 13 384 2.0× 30 0.3× 31 0.4× 30 0.4× 128 1.9× 26 767

Countries citing papers authored by Sergio D. Cabrera

Since Specialization
Citations

This map shows the geographic impact of Sergio D. Cabrera'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 Sergio D. Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio D. Cabrera more than expected).

Fields of papers citing papers by Sergio D. Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio D. Cabrera. 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 Sergio D. Cabrera. The network helps show where Sergio D. Cabrera may publish in the future.

Co-authorship network of co-authors of Sergio D. Cabrera

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio D. Cabrera. A scholar is included among the top collaborators of Sergio D. Cabrera 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 Sergio D. Cabrera. Sergio D. Cabrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bilgin, Ali, et al.. (2025). Multi-channel MRI reconstruction using cascaded Swinμ transformers with overlapped attention. Physics in Medicine and Biology. 70(7). 75002–75002.
2.
Verma, Ajay, et al.. (2021). Long-Term Effects of Ischemic Stroke on Autonomic Regulation. IEEE Access. 9. 30169–30179. 1 indexed citations
3.
Cabrera, Sergio D., et al.. (2021). Linear equality-constrained least-square problems by generalized QR factorization. Dialnet (Universidad de la Rioja). 8(2). 437–443.
4.
Verma, Ajay, Sergio D. Cabrera, & Reza Fazel-Rezai. (2016). Continuous Balance Assessment of Autonomic Nervous System Using Time-Varying Analysis of Heart Rate Variability1. Journal of Medical Devices. 10(2). 1 indexed citations
5.
Jayaram, Vikram, et al.. (2009). Directional analysis and filtering for dust storm detection in NOAA-AVHRR imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7334. 73341G–73341G. 15 indexed citations
6.
Gates, Ann Q., et al.. (2006). Building Affinity Groups to Enable and Encourage Student Success in Computing. 3 indexed citations
7.
Kosheleva, Olga, Bryan Usevitch, Sergio D. Cabrera, & E. Vidal. (2006). Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000. IEEE Transactions on Image Processing. 15(8). 2106–2112. 8 indexed citations
8.
Nazeran, H., et al.. (2005). Accurate derivation of heart rate variability signal for detection of sleep disordered breathing in children. PubMed. 3. 538–541. 15 indexed citations
9.
Cabrera, Sergio D., et al.. (2004). Compression of three-dimensional medical image data based on JPEG 2000. 116–121. 3 indexed citations
10.
Cabrera, Sergio D., et al.. (2004). Interior-Point Methods in l1 Optimal Sparse Representation Algorithms for Harmonic Retrieval. Optimization and Engineering. 5(4). 503–531. 4 indexed citations
11.
Brown, Jerram L. & Sergio D. Cabrera. (2002). Multi-channel signal reconstruction using noisy samples. International Conference on Acoustics, Speech, and Signal Processing. 1233–1236. 5 indexed citations
12.
Kosheleva, Olga, et al.. (2002). Compression degradation metrics for analysis of consistency in microcalcification detection. 35–40. 6 indexed citations
13.
Worden, Keith, Roberto A. Osegueda, Soheil Nazarian, et al.. (2001). Interval Methods in Non-Destructive Testing of Material Structures. Reliable Computing. 7(4). 341–352. 3 indexed citations
14.
Kosheleva, Olga, et al.. (1999). Interval Estimates for Signal Processing: Special Purpose Hardware. Reliable Computing. 5(2). 175–196. 1 indexed citations
15.
Cabrera, Sergio D., et al.. (1996). Evaluation of lossy compression distortion on digital mammograms. 18. 514–519. 2 indexed citations
16.
Villalobos, J. René, et al.. (1996). Improved inspection algorithms using vector decision techniques. 18. 520–525. 2 indexed citations
17.
Cabrera, Sergio D., et al.. (1995). A pyramidal decomposition algorithm adapted for compression of optical navigational images. scholarworks - UTEP (The University of Texas at El Paso). 17. 947–960. 1 indexed citations
18.
Cabrera, Sergio D., et al.. (1994). <title>Application of one-dimensional adaptive extrapolation to improve resolution in range-Doppler imaging</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2230. 135–145. 5 indexed citations
19.
Flores, Benjamin C., et al.. (1994). <title>Advances in automatic estimation and compensation of target kinematics for improved radar imaging</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2234. 49–56. 3 indexed citations
20.
Cabrera, Sergio D., et al.. (1990). Estimation of sinusoids by adaptive minimum norm extrapolation. 35–39. 4 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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