Oshri Naparstek

940 citations
15 papers · 652 indexed · 1 hit paper · h-index 6
Topics
Advanced MIMO Systems Optimization (6 papers)Radar Systems and Signal Processing (5 papers)Direction-of-Arrival Estimation Techniques (3 papers)
Partner nations
IsraelUnited States

In The Last Decade

Oshri Naparstek

13 papers receiving 638 citations

Hit Papers

Deep Multi-User Reinforcement Learning for Distributed Dy...20182026202020232018100200300

Peers

Oshri Naparstek
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 379
  • Computer Networks and Communications 352
  • Aerospace Engineering 214
  • Artificial Intelligence 70
  • Signal Processing 57
Replace Shabnam Sodagari with:
Shabnam Sodagari United States
Mohamad Khattar Awad Kuwait
Wu Luo China
Mònica Navarro Spain
Daniel Denkovski North Macedonia
Jinkang Zhu China
François Chin Singapore
Ding Xu China
Kanglian Zhao China
Oshri Naparstek relative to Shabnam Sodagari United States Shabnam Sodagari's profile →
Citations per field
00.5×1.5×1.8×
Shabnam Sodagari · 1×
Citations per year

Countries citing papers authored by Oshri Naparstek

Since Specialization
Citations

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

Fields of papers citing papers by Oshri Naparstek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oshri Naparstek

This figure shows the co-authorship network connecting the top 25 collaborators of Oshri Naparstek. A scholar is included among the top collaborators of Oshri Naparstek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oshri Naparstek. Oshri Naparstek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2
Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Accessbreakdown →
334
3
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks
4
4 80
5 1
6 3
7 30
8 5
9 4
10 0
11 6
12 1
13 6
14 174
15 4

About Oshri Naparstek

Oshri Naparstek is a scholar working on Computer Networks and Communications, Signal Processing and Aerospace Engineering, having authored 15 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (6 papers), Radar Systems and Signal Processing (5 papers) and Direction-of-Arrival Estimation Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Aerospace Engineering (214 citations) and Electrical and Electronic Engineering (379 citations). Oshri Naparstek has collaborated with scholars based in Israel and United States. Frequent co-authors include Kobi Cohen, Amir Leshem, Arye Nehorai, Leonid Karlinsky and Eli Schwartz. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications and IEEE Communications Letters.

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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