Neta Rabin

47 papers receiving 511 citations

Peers

Neta Rabin
Comparison fields: 5 of 133
  • Signal Processing 70
  • Human-Computer Interaction 29
  • Artificial Intelligence 141
  • Geophysics 56
  • Computer Vision and Pattern Recognition 72
Replace Nguyen Duc Thang with:
Nguyen Duc Thang Vietnam
Reza Parhizkar Switzerland
Hayaru Shouno Japan
Ahmet Mert Türkiye
N. Braun Germany
Jinsong Leng China
Deyun Chen China
Yuji Sato Japan
Fatma Lati̇foğlu Türkiye
Fatih V. Çelebi Türkiye
Neta Rabin relative to Nguyen Duc Thang Vietnam Nguyen Duc Thang's profile →
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 202065
2 200848
3 201438
4 201231
5 200928
6 202027
7 201522
8 201321
9 201621
10 202017
11 202416
12 201915
13 201813
14 201913
15 202012
16 202112
17 202311
18 201610
19
Detection of Anomaly Trends in Dynamically Evolving Systems
20108
20 20208

About Neta Rabin

Neta Rabin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Geophysics, having authored 51 papers that have together received 532 indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (10 papers), Seismology and Earthquake Studies (7 papers), Image and Signal Denoising Methods (6 papers), Thermoregulation and physiological responses (5 papers), Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Signal Processing (70 citations), Human-Computer Interaction (29 citations), Artificial Intelligence (141 citations), Geophysics (56 citations) and Computer Vision and Pattern Recognition (72 citations). Neta Rabin has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Amir Averbuch, Ronald R. Coifman, Alon Schclar, Anat Ratnovsky, Ioannis G. Kevrekidis, Ofir Lindenbaum, Valery A. Zheludev, Zehava Ovadia‐Blechman, C. W. Gear and Eliodoro Chiavazzo. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Scientific Reports, Expert Systems with Applications, Pure and Applied Geophysics and Assessment & Evaluation in Higher Education.

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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