Shlomo Greenberg

696 total citations
43 papers, 462 citations indexed

About

Shlomo Greenberg is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shlomo Greenberg has authored 43 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Shlomo Greenberg's work include Advanced Memory and Neural Computing (5 papers), Embedded Systems Design Techniques (5 papers) and Neural Networks and Applications (5 papers). Shlomo Greenberg is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), Embedded Systems Design Techniques (5 papers) and Neural Networks and Applications (5 papers). Shlomo Greenberg collaborates with scholars based in Israel. Shlomo Greenberg's co-authors include Mayer Aladjem, Yehuda Ben‐Shimol, Ofer Hadar, Hugo Guterman, Barak Katz, Ran Giladi, Avner Haran, E. Paperno, D. David and Michael Segal and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and IEEE Access.

In The Last Decade

Shlomo Greenberg

39 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shlomo Greenberg Israel	11	264	227	93	67	50	43	462
Tsuyoshi Isshiki Japan	11	130 0.5×	136 0.6×	97 1.0×	49 0.7×	176 3.5×	92	464
Amol D. Rahulkar India	11	187 0.7×	135 0.6×	104 1.1×	47 0.7×	27 0.5×	47	378
Enrique Cantó Spain	12	170 0.6×	206 0.9×	62 0.7×	87 1.3×	77 1.5×	45	353
Marius Tico Finland	17	1.0k 3.9×	490 2.2×	85 0.9×	199 3.0×	22 0.4×	55	1.3k
Warren He United States	4	198 0.8×	174 0.8×	43 0.5×	23 0.3×	38 0.8×	7	615
Nabil A. Ismail Egypt	12	129 0.5×	135 0.6×	54 0.6×	108 1.6×	11 0.2×	60	474
Manaar Alam India	8	46 0.2×	121 0.5×	44 0.5×	38 0.6×	56 1.1×	29	338
Benoît Geller France	13	96 0.4×	158 0.7×	443 4.8×	30 0.4×	5 0.1×	51	668
B.G. Sherlock United States	11	450 1.7×	489 2.2×	43 0.5×	95 1.4×	3 0.1×	25	642
José M. Claver Spain	10	73 0.3×	74 0.3×	97 1.0×	22 0.3×	23 0.5×	40	299

Countries citing papers authored by Shlomo Greenberg

Since Specialization

Citations

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

Fields of papers citing papers by Shlomo Greenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shlomo Greenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Shlomo Greenberg. A scholar is included among the top collaborators of Shlomo Greenberg 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 Shlomo Greenberg. Shlomo Greenberg 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

Greenberg, Shlomo, et al.. (2025). ISAR Super-Resolution and Clutter Suppression Using Deep Learning. Remote Sensing. 17(21). 3655–3655.

Hadad, Yakir, et al.. (2024). Time–frequency analysis using spiking neural network. SHILAP Revista de lepidopterología. 4(4). 44001–44001. 2 indexed citations

Ben‐Shimol, Yehuda, et al.. (2024). Situational Awareness Classification Based on EEG Signals and Spiking Neural Network. Applied Sciences. 14(19). 8911–8911.

Ben‐Shimol, Yehuda, et al.. (2024). Drones Detection Using a Fusion of RF and Acoustic Features and Deep Neural Networks. Sensors. 24(8). 2427–2427. 14 indexed citations

Greenberg, Shlomo, et al.. (2023). Unsupervised Drones Swarm Characterization Using RF Signals Analysis and Machine Learning Methods. Sensors. 23(3). 1589–1589. 16 indexed citations

Ben‐Shimol, Yehuda, et al.. (2023). Container Allocation in Cloud Environment Using Multi-Agent Deep Reinforcement Learning. Electronics. 12(12). 2614–2614. 6 indexed citations

Greenberg, Shlomo, et al.. (2022). Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers. IEEE Access. 10. 73484–73493. 25 indexed citations

Greenberg, Shlomo, et al.. (2021). MYOSITIS AND RESPIRATORY FAILURE WITH PEMBROLIZUMAB. CHEST Journal. 160(4). A1573–A1573.

Greenberg, Shlomo, et al.. (2021). Using a Low-Power Spiking Continuous Time Neuron (SCTN) for Sound Signal Processing. Sensors. 21(4). 1065–1065. 11 indexed citations

10.

Greenberg, Shlomo, et al.. (2020). Hardware-Based Real-Time Deep Neural Network Lossless Weights Compression. IEEE Access. 8. 205051–205060. 3 indexed citations

11.

Greenberg, Shlomo, et al.. (2019). Characterization and Mitigation of Single-Event Transients in Xilinx 45-nm SRAM-Based FPGA. IEEE Transactions on Nuclear Science. 66(6). 946–954. 12 indexed citations

12.

Greenberg, Shlomo, et al.. (2019). A New Digital Low Power Spiking Neuron. International Journal of Future Computer and Communication. 8(1). 24–28. 2 indexed citations

13.

Greenberg, Shlomo, et al.. (2017). Voice trigger system using fuzzy logic. 15. 113–118. 4 indexed citations

14.

Hadar, Ofer, Shlomo Greenberg, & Michael Segal. (2007). EPCRTT-based smoothing and multiplexing of VBR video traffic. Multimedia Tools and Applications. 36(3). 203–219. 3 indexed citations

15.

Greenberg, Shlomo, et al.. (2006). Linear search applied to global motion estimation. Multimedia Systems. 12(6). 493–504.

16.

Greenberg, Shlomo, et al.. (2005). Improved structure-adaptive anisotropic filter. Pattern Recognition Letters. 27(1). 59–65. 18 indexed citations

17.

Greenberg, Shlomo & Hugo Guterman. (2002). A neural-network-based classifier applied to real-world aerial images. 7. 4216–4219. 2 indexed citations

18.

Greenberg, Shlomo, Hugo Guterman, & Stanley R. Rotman. (2002). An unsupervised neural network classifier for automatic aerial image recognition. 3. 212–215. 1 indexed citations

19.

Greenberg, Shlomo. (2000). NLEBS: automatic target detection using a unique nonlinear-enhancement-based system in IR images. Optical Engineering. 39(5). 1369–1369. 4 indexed citations

20.

Hadar, Ofer & Shlomo Greenberg. (1999). <title>Video rate smoothing and statistical multiplexing using the e-PCRTT algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3845. 328–339. 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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