Amir Averbuch

179 papers receiving 3.4k citations

Hit Papers

Interacting multiple model methods in target tracking: a ...19982026200720161998250500750

Peers

Amir Averbuch
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 1.1k
  • Aerospace Engineering 591
  • Signal Processing 496
  • Media Technology 399
Replace Xiangyang Ji with:
Xiangyang Ji China
Gabriel Peyré France
Tom Goldstein United States
Namrata Vaswani United States
Brendt Wohlberg United States
Jean‐Yves Tourneret France
Y. C. Pati United States
A.C. Kak United States
Yoram Bresler United States
Michael Zibulevsky Israel
Amir Averbuch relative to Xiangyang Ji China Xiangyang Ji's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amir Averbuch

Since Specialization
Citations

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

Fields of papers citing papers by Amir Averbuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir Averbuch. 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 Amir Averbuch. The network helps show where Amir Averbuch may publish in the future.

Co-authorship network of co-authors of Amir Averbuch

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Averbuch. A scholar is included among the top collaborators of Amir Averbuch 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 Amir Averbuch. Amir Averbuch 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
#WorkIndexed citations
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3 17
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Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends
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6 31
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LgDb 2.0: Using Lguest for kernel profiling, code coverage and simulation
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8 3
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Anomaly Detection Framework for Tracing Problems in Radio Networks
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Using virtualization for online kernel profiling, code coverage and instrumentation
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11
Detection of Anomaly Trends in Dynamically Evolving Systems
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Hierarchical Clustering Via Localized Diffusion Folders
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13 44
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A real-time algorithm for vision-based localization
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15
Color Image Segmentation based on Automatic Derivation of Local Thresholds
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Automatic Adaptive Segmentation of Moving Objects Based on Spatio-Temporal Information.
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17 42
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Asynchronous and corrected-asynchronous numerical solutions of parabolic PDES on MIMD multiprocessors
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Timing Analysis of a Parallel Algorithm for Toeplitz Matrices on a MIMD Parallel Machine.
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About Amir Averbuch

Amir Averbuch is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 183 papers that have together received 3.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (62 papers), Advanced Data Compression Techniques (29 papers) and Digital Filter Design and Implementation (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computational Mathematics (32 citations) and Signal Processing (496 citations). Amir Averbuch has collaborated with scholars based in Israel, United States and Finland. Frequent co-authors include J. Dayan, Yaakov Bar‐Shalom, M. Israeli, Yosi Keller, Valery A. Zheludev, Yoel Shkolnisky, Ronald R. Coifman, François G. Meyer, Jan-Olov Strömberg and David L. Donoho. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational Physics and IEEE Transactions on Information Theory.

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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