Itamar Arel

3.0k citations

34 papers · 1.9k indexed · 2 hit papers · h-index 12

Transportation top 2%
Artificial Intelligence top 2%
- Neural Networks and Applications 16
- Domain Adaptation and Few-Shot Learning 5
- Neural Networks and Reservoir Computing 3
- Machine Learning and Data Classification 3
Building and Construction top 2%
Computer Vision and Pattern Recognition top 2%
Control and Systems Engineering top 2%
Electrical and Electronic Engineering
- Advanced Memory and Neural Computing 6
- CCD and CMOS Imaging Sensors 3
Signal Processing
- Time Series Analysis and Forecasting 4
- Blind Source Separation Techniques 3

Co-authors: Derek Rose Thomas P. Karnowski Airton G Kohls Chuqiao Liu Thomas Urbanik Steven R. Young Jeremy Holleman Junjie Lu
Cited by: Transportation Artificial Intelligence Building and Construction
Journals: IEEE Transactions on Neural Networks and Learning Systems (2 papers)Computer (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
Partner nations: United States China Germany

In The Last Decade

Itamar Arel

32 papers receiving 1.8k citations

Hit Papers

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Peers

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

The 25 scholars most cited alongside Itamar Arel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Itamar Arel Line = papers co-authored together Itamar Arel links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Faster Gated Recurrent Units via Conditional Computation Andrew S. Davis,Itamar Arel	2016	3
2	Analog inference circuits for deep learning Jeremy Holleman,Itamar Arel,Steven R. Young,Junjie Lu	2015	4
3	Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks Ben Goodrich,Itamar Arel	2014	12
4	30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS Junjie Lu,Steven C. Young,Itamar Arel,Jeremy Holleman	2014	2
5	A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS IEEE Journal of Solid-State Circuits ·Junjie Lu,Steven R. Young,Itamar Arel,Jeremy Holleman	2014	95
6	Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks arXiv (Cornell University) ·Andrew S. Davis,Itamar Arel	2013	3
7	Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting IEEE Transactions on Neural Networks and Learning Systems ·강성광,Zen Amirullah Irkham,Itamar Arel	2013	39
8	An analog online clustering circuit in 130nm CMOS Junjie Lu,Steven R. Young,Itamar Arel,Jeremy Holleman	2013	7
9	On the Impact of Approximate Computation in an Analog DeSTIN Architecture IEEE Transactions on Neural Networks and Learning Systems ·Steven R. Young,Junjie Lu,Jeremy Holleman,Itamar Arel	2013	7
10	Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection Steven R. Young,Itamar Arel	2012	2
11	Mitigation of catastrophic interference in neural networks using a fixed expansion layer 강성광,Itamar Arel	2012	5
12	A condensation-based application of Cramerʼs rule for solving large-scale linear systems Journal of Discrete Algorithms ·Panjapong Sripanya,Itamar Arel	2011	25
13	Multi-View Budgeted Learning under Label and Feature Constraints Using Label-Guided Graph-Based Regularization Christopher T. Symons,حنان بنت ثلاب الجعيد,Itamar Arel	2011	1
14	Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]breakdown → IEEE Computational Intelligence Magazine ·Itamar Arel,Derek Rose,Thomas P. Karnowski	2010	774
15	A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures Neurocomputing ·Ben Goertzel,Ruiting Lian,Itamar Arel,Hugo de Garis,Shuo Chen	2010	93
16	Revisiting Cramer's rule for solving dense linear systems Panjapong Sripanya,Itamar Arel	2010	3
17	World survey of artificial brains, Part II: Biologically inspired cognitive architectures Ben Goertzel,Ruiting Lian,Itamar Arel,Hugo de Garis,Shuo Chen	2010	7
18	Applying deep-layered clustering to mammography image analytics Derek Rose,Itamar Arel,Thomas P. Karnowski,Vincent Paquit	2010	8
19	Pi-PIFO: A scalable pipelined PIFO memory management architecture International Conference on Telecommunications ·Steven R. Young,Itamar Arel,Valdívia Thais Alves de Lima	2009	1
20	Beyond the Turing Test Computer ·Itamar Arel,Scott C. Livingston	2009	3

About Itamar Arel

Itamar Arel is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Hardware and Architecture and Computational Theory and Mathematics, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Advanced Memory and Neural Computing (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Time Series Analysis and Forecasting (4 papers), CCD and CMOS Imaging Sensors (3 papers), Neural Networks and Reservoir Computing (3 papers), Machine Learning and Data Classification (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Transportation (189 citations), Artificial Intelligence (679 citations), Building and Construction (259 citations), Computer Vision and Pattern Recognition (389 citations) and Control and Systems Engineering (426 citations). Itamar Arel has collaborated with scholars based in United States, China and Germany. Frequent 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. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Computer, IEEE Journal of Solid-State Circuits, IET Intelligent Transport Systems and AI Magazine.

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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