Ori Rottenstreich

3.2k citations
137 papers · 2.2k indexed · 1 hit paper · h-index 25

Ori Rottenstreich

128 papers receiving 2.2k citations

Hit Papers

Heavy-Hitter Detection Entirely in the Data Plane3212017202620202023100200300

Peers

Ori Rottenstreich
Comparison fields: 5 of 64
  • Hardware and Architecture 632
  • Computer Networks and Communications 2.0k
  • Information Systems 554
  • Artificial Intelligence 590
  • Signal Processing 78
Replace Dan Williams with:
Dan Williams United States
Teemu Koponen United States
Hakim Weatherspoon United States
KyoungSoo Park South Korea
Marcel Waldvogel Germany
Neal Cardwell United States
Isaac Keslassy Israel
Mazin Yousif United States
Sarang Dharmapurikar United States
Ori Rottenstreich relative to Dan Williams United States Dan Williams's profile →
Citations per field
00.5×3.8×
Dan Williams · 1×
Citations per year

Countries citing papers authored by Ori Rottenstreich

Since Specialization
Citations

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

Fields of papers citing papers by Ori Rottenstreich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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16 202032
17 20203
18
Smoking Out the Heavy-Hitter Flows with HashPipe.
20166
19 201515
20 20086

About Ori Rottenstreich

Ori Rottenstreich is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 137 papers that have together received 2.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (52 papers), Caching and Content Delivery (52 papers), Network Packet Processing and Optimization (38 papers), Blockchain Technology Applications and Security (23 papers), Network Security and Intrusion Detection (19 papers), Interconnection Networks and Systems (19 papers), Cloud Computing and Resource Management (17 papers) and Covalent Organic Framework Applications (13 papers). The work is most often cited by research in Hardware and Architecture (632 citations), Computer Networks and Communications (2.0k citations) and Information Systems (554 citations). Ori Rottenstreich has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Isaac Keslassy, Jennifer Rexford, Yossi Kanizo, S. Muthukrishnan, Vibhaalakshmi Sivaraman, Srinivas Narayana, János Tapolcai, Deke Guo, Xueshan Luo and T. B. Richard. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

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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