Ronit Bustin

496 citations
29 papers · 312 · h-index 8

Impact in

Papers in

Ronit Bustin

23 papers receiving 301 citations

Peers

Ronit Bustin
Comparison fields: 5 of 43
  • Computer Networks and Communications 162
  • Electrical and Electronic Engineering 245
  • Statistics and Probability 25
  • Artificial Intelligence 71
  • Computer Vision and Pattern Recognition 40
Replace V. V. Prelov with:
V. V. Prelov Russia
Mohammad Hossein Yassaee Iran
S. Natarajan India
S.B. Slimane Sweden
Saurabha Tavildar United States
Eduardo Martos‐Naya Spain
Marco Mondelli United States
Kun-Wah Yip Hong Kong
Rashish Tandon United States
Ronit Bustin relative to V. V. Prelov Russia V. V. Prelov's profile →
Citations per field
00.5×10×13×
V. V. Prelov · 1×
Citations per year

Countries citing papers authored by Ronit Bustin

Since Specialization
Citations

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

Fields of papers citing papers by Ronit Bustin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ronit Bustin, 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 Ronit Bustin Line = papers co-authored together Ronit Bustin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 200973
3 201835
4 201220
5 201716
6 201811
7 201211
8 20179
9 20226
10 20174
11 20164
12 20103
13 20153
14 20153
15 20152
16 20162
17 20172
18 20142
19 20162
20 20161

About Ronit Bustin

Ronit Bustin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 29 papers that have together received 312 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (19 papers), Error Correcting Code Techniques (8 papers), Cooperative Communication and Network Coding (8 papers), Advanced MIMO Systems Optimization (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Chaos-based Image/Signal Encryption (2 papers), DNA and Biological Computing (2 papers) and Statistical Mechanics and Entropy (2 papers). The work is most often cited by research in Computer Networks and Communications (162 citations), Electrical and Electronic Engineering (245 citations), Statistics and Probability (25 citations), Artificial Intelligence (71 citations) and Computer Vision and Pattern Recognition (40 citations). Ronit Bustin has collaborated with scholars based in Israel, United States and Hong Kong. Frequent co-authors include Shlomo Shamai, H. Vincent Poor, Ruoheng Liu, Alex Dytso, Daniel P. Palomar, Miquel Payaró, Claudia V. Goldman, Rafael F. Schaefer, Ofer Shayevitz and Mojtaba Vaezi. Their work appears in journals such as IEEE Transactions on Information Theory, EURASIP Journal on Wireless Communications and Networking, Entropy, SHILAP Revista de lepidopterología and Zenodo (CERN European Organization for Nuclear Research).

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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