Neta Rabin

47 papers receiving 527 citations

Peers

Neta Rabin
Comparison fields: 5 of 128
  • Signal Processing 70
  • Human-Computer Interaction 30
  • Artificial Intelligence 140
  • Geophysics 56
  • Radiology, Nuclear Medicine and Imaging 76
Replace Nguyen Duc Thang with:
Nguyen Duc Thang Vietnam
J. S. Chitode India
N. Braun Germany
Hayaru Shouno Japan
Gilson A. Giraldi Brazil
Jinsong Leng China
Fatma Lati̇foğlu Türkiye
Md Shaad Mahmud United States
Mohamed Elwekeil Egypt
Fatih V. Çelebi Türkiye
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Citations per field
00.5×2.7×
Nguyen Duc Thang · 1×
Citations per year

Countries citing papers authored by Neta Rabin

Since Specialization
Citations

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

Fields of papers citing papers by Neta Rabin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 200849
3 201439
4 201232
5 200928
6 202027
7 201322
8 201522
9 201621
10 202017
11 202417
12 201915
13 201814
14 201913
15 202013
16 202112
17 202311
18 201610
19
Detection of Anomaly Trends in Dynamically Evolving Systems
20108
20 20118

About Neta Rabin

Neta Rabin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Geophysics, having authored 51 papers that have together received 546 indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (9 papers), Seismology and Earthquake Studies (7 papers), Image and Signal Denoising Methods (6 papers), Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (4 papers), Neural Networks and Applications (4 papers), Muscle activation and electromyography studies (4 papers) and Thermoregulation and physiological responses (4 papers). The work is most often cited by research in Signal Processing (70 citations), Human-Computer Interaction (30 citations), Artificial Intelligence (140 citations), Geophysics (56 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Neta Rabin has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Amir Averbuch, Ronald R. Coifman, Valery A. Zheludev, Alon Schclar, Anat Ratnovsky, Zehava Ovadia‐Blechman, Ofir Lindenbaum, Ioannis G. Kevrekidis, C. W. Gear and Eliodoro Chiavazzo. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Scientific Reports, Pure and Applied Geophysics, Expert Systems with Applications and Medical Image Analysis.

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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