Uri Maoz

1.5k citations
33 papers · 790 indexed · 1 hit paper · h-index 14

Uri Maoz

31 papers receiving 773 citations

Hit Papers

Data augmentation for deep-learning-based electroencephal...266202020262022202450100150200250

Peers

Uri Maoz
Comparison fields: 5 of 128
  • Cognitive Neuroscience 479
  • Health Informatics 23
  • Experimental and Cognitive Psychology 88
  • Human-Computer Interaction 33
  • Cellular and Molecular Neuroscience 109
Replace Mohammad Ali Nazari with:
Mohammad Ali Nazari Iran
Murat Akçakaya United States
Toshitaka Yamakawa Japan
Evanthia E. Tripoliti Greece
Mark V. Albert United States
Yunseo Ku South Korea
Sahar Moghimi Iran
Denis Delisle-Rodríguez Brazil
Seyed Mostafa Kia Netherlands
Thapanun Sudhawiyangkul Thailand
Uri Maoz relative to Mohammad Ali Nazari Iran Mohammad Ali Nazari's profile →
Citations per field
00.5×4.6×
Mohammad Ali Nazari · 1×
Citations per year

Countries citing papers authored by Uri Maoz

Since Specialization
Citations

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

Fields of papers citing papers by Uri Maoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Uri Maoz, 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 Uri Maoz Line = papers co-authored together Uri Maoz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20242
5 20238
6 202312
7 202318
8 20237
9 202217
10 202242
11 20211
12 20216
13
Data augmentation for deep-learning-based electroencephalographybreakdown →
2020266
14 201955
15 20192
16 201774
17 201513
18 201313
19 200827
20 200833

About Uri Maoz

Uri Maoz is a scholar working on Cognitive Neuroscience, General Decision Sciences, Social Psychology, Pharmacy and Human-Computer Interaction, having authored 33 papers that have together received 790 indexed citations. Recurring topics across this work include Free Will and Agency (9 papers), Psychology of Moral and Emotional Judgment (8 papers), EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers), Motor Control and Adaptation (4 papers), Neural and Behavioral Psychology Studies (4 papers), Muscle activation and electromyography studies (3 papers) and Action Observation and Synchronization (3 papers). The work is most often cited by research in Cognitive Neuroscience (479 citations), Health Informatics (23 citations), Experimental and Cognitive Psychology (88 citations), Human-Computer Interaction (33 citations) and Cellular and Molecular Neuroscience (109 citations). Uri Maoz has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Elnaz Lashgari, Tamar Flash, Liad Mudrik, Jihoon Oh, Kyongsik Yun, Jeong‐Ho Chae, Tae-Suk Kim, Pierre Baldi, Alain Berthoz and Gideon Yaffe. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Journal of Neurophysiology, Scientific Data, Cortex and Scientific Reports.

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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