Itamar Arel

3.0k total citations · 2 hit papers
34 papers, 1.9k citations indexed

About

Itamar Arel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Itamar Arel has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Itamar Arel's work include Neural Networks and Applications (16 papers), Advanced Memory and Neural Computing (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Itamar Arel is often cited by papers focused on Neural Networks and Applications (16 papers), Advanced Memory and Neural Computing (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Itamar Arel collaborates with scholars based in United States, China and Germany. Itamar Arel's co-authors include Derek Rose, Thomas P. Karnowski, Airton G Kohls, Chuqiao Liu, Thomas Urbanik, Steven R. Young, Jeremy Holleman, Junjie Lu, Ben Goertzel and Hugo de Garis and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Computer and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Itamar Arel

32 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

2010 774 citations Itamar Arel, Derek Rose et al. IEEE Computational Intelligence Magazine profile →
Reinforcement learning-based multi-agent system for network traffic signal control

2010 414 citations Itamar Arel et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Itamar Arel United States	12	679	426	389	260	259	34	1.9k
Marco Wiering Netherlands	31	1.3k 1.9×	644 1.5×	720 1.9×	311 1.2×	284 1.1×	135	3.3k
Kit Yan Chan Australia	27	641 0.9×	576 1.4×	193 0.5×	560 2.2×	486 1.9×	145	2.6k
Xinhu Zheng China	14	398 0.6×	368 0.9×	319 0.8×	183 0.7×	322 1.2×	40	1.6k
Yilun Lin China	17	441 0.6×	631 1.5×	367 0.9×	229 0.9×	483 1.9×	46	2.1k
Jun Jason Zhang United States	23	619 0.9×	371 0.9×	187 0.5×	830 3.2×	239 0.9×	104	2.3k
S. Maouche France	11	658 1.0×	166 0.4×	392 1.0×	183 0.7×	66 0.3×	40	1.5k
Zhanxing Zhu China	17	728 1.1×	274 0.6×	453 1.2×	82 0.3×	447 1.7×	52	1.7k
Yanfeng Sun China	25	534 0.8×	282 0.7×	1.1k 2.8×	131 0.5×	544 2.1×	187	2.4k
Sung-Bae Cho South Korea	21	904 1.3×	180 0.4×	582 1.5×	884 3.4×	389 1.5×	83	2.6k
Runsheng Xu United States	19	428 0.6×	286 0.7×	967 2.5×	307 1.2×	123 0.5×	39	2.1k

Countries citing papers authored by Itamar Arel

Since Specialization

Citations

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

Fields of papers citing papers by Itamar Arel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itamar Arel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Davis, Andrew S. & Itamar Arel. (2016). Faster Gated Recurrent Units via Conditional Computation. 920–924. 3 indexed citations

2.

Holleman, Jeremy, Itamar Arel, Steven R. Young, & Junjie Lu. (2015). Analog inference circuits for deep learning. pp. 1–4. 4 indexed citations

3.

Goodrich, Ben & Itamar Arel. (2014). Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. 997–1000. 12 indexed citations

4.

Lu, Junjie, Steven C. Young, Itamar Arel, & Jeremy Holleman. (2014). 30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. 504–505. 2 indexed citations

5.

Lu, Junjie, Steven R. Young, Itamar Arel, & Jeremy Holleman. (2014). A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. IEEE Journal of Solid-State Circuits. 50(1). 270–281. 95 indexed citations

6.

Davis, Andrew S. & Itamar Arel. (2013). Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. arXiv (Cornell University). 3 indexed citations

7.

Arel, Itamar, et al.. (2013). Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting. IEEE Transactions on Neural Networks and Learning Systems. 24(10). 1623–1634. 39 indexed citations

8.

Lu, Junjie, Steven R. Young, Itamar Arel, & Jeremy Holleman. (2013). An analog online clustering circuit in 130nm CMOS. 177–180. 7 indexed citations

9.

Young, Steven R., Junjie Lu, Jeremy Holleman, & Itamar Arel. (2013). On the Impact of Approximate Computation in an Analog DeSTIN Architecture. IEEE Transactions on Neural Networks and Learning Systems. 25(5). 934–946. 7 indexed citations

10.

Young, Steven R. & Itamar Arel. (2012). Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. 54–55. 2 indexed citations

11.

Arel, Itamar, et al.. (2012). Mitigation of catastrophic interference in neural networks using a fixed expansion layer. 5 indexed citations

12.

Arel, Itamar, et al.. (2011). A condensation-based application of Cramerʼs rule for solving large-scale linear systems. Journal of Discrete Algorithms. 10. 98–109. 25 indexed citations

13.

Symons, Christopher T., et al.. (2011). Multi-View Budgeted Learning under Label and Feature Constraints Using Label-Guided Graph-Based Regularization. 1 indexed citations

14.

Arel, Itamar, Derek Rose, & Thomas P. Karnowski. (2010). Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]. IEEE Computational Intelligence Magazine. 5(4). 13–18. 774 indexed citations breakdown →

15.

Goertzel, Ben, Ruiting Lian, Itamar Arel, Hugo de Garis, & Shuo Chen. (2010). A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing. 74(1-3). 30–49. 93 indexed citations

16.

Arel, Itamar, et al.. (2010). Revisiting Cramer's rule for solving dense linear systems. 1–8. 3 indexed citations

17.

Goertzel, Ben, Ruiting Lian, Itamar Arel, Hugo de Garis, & Shuo Chen. (2010). World survey of artificial brains, Part II: Biologically inspired cognitive architectures. 7 indexed citations

18.

Rose, Derek, Itamar Arel, Thomas P. Karnowski, & Vincent Paquit. (2010). Applying deep-layered clustering to mammography image analytics. 1–4. 8 indexed citations

19.

Young, Steven R., et al.. (2009). Pi-PIFO: A scalable pipelined PIFO memory management architecture. International Conference on Telecommunications. 265–270. 1 indexed citations

20.

Arel, Itamar & Scott C. Livingston. (2009). Beyond the Turing Test. Computer. 42(3). 90–91. 3 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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