Itamar Arel

3.0k citations
34 papers · 1.9k · 2 hit papers · h-index 12

Impact in

Papers in

Itamar Arel

32 papers receiving 1.8k citations

Itamar Arel's Hit Papers

Reinforcement learning-based multi-agent system for network traffic signal control 2010 · 414 citations
4140+5+10Years since publication250500750

Peers

Itamar Arel
Comparison fields: 5 of 155
  • Transportation 189
  • Artificial Intelligence 679
  • Building and Construction 259
  • Computer Vision and Pattern Recognition 389
  • Control and Systems Engineering 426
Replace Marco Wiering with:
Marco Wiering Netherlands
Zhifeng Zhao China
Lei Wang China
Xinhu Zheng China
Rongpeng Li China
Quan Yuan China
Kaigui Bian China
Mingyan Liu United States
Kit Yan Chan Australia
Weisi Guo United Kingdom
Itamar Arel relative to Marco Wiering Netherlands Marco Wiering's profile →
Citations per field
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Marco Wiering · 1×
Citations per year

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-authors

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

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
Hit paper breakdown →
2010774
2
Reinforcement learning-based multi-agent system for network traffic signal control
Hit paper breakdown →
2010414
3
Deep Machine Learning—A New Frontier in Artificial Intelligence Research
2010215
4 201495
5 201093
6 201288
7 201339
8
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition
200938
9 201033
10 201125
11 201412
12 201211
13 201011
14 20139
15 20139
16 20108
17 20137
18 20137
19
World survey of artificial brains, Part II: Biologically inspired cognitive architectures
20107
20 20125

About Itamar Arel

Itamar Arel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering 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), AI-based Problem Solving and Planning (3 papers), Neural Networks and Reservoir Computing (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Computability, Logic, AI Algorithms (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, Chuqiao Liu, Thomas Urbanik, Airton G Kohls, Steven R. Young, Junjie Lu, Jeremy Holleman, 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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