Dan Tsafrir

3.2k citations
87 papers · 2.5k · h-index 26

Impact in

Papers in

Dan Tsafrir

86 papers receiving 2.3k citations

Peers

Dan Tsafrir
Comparison fields: 5 of 56
  • Hardware and Architecture 1.0k
  • Computer Networks and Communications 1.9k
  • Information Systems 1.6k
  • Signal Processing 171
  • Artificial Intelligence 480
Replace Muli Ben-Yehuda with:
Muli Ben-Yehuda Israel
Dhruba Borthakur United States
Adam Silberstein United States
Tilmann Rabl Germany
Benjamin Hindman United States
Navendu Jain United States
Khaled Elmeleegy United States
Kun‐Lung Wu United States
David Oppenheimer United States
Dan Tsafrir relative to Muli Ben-Yehuda Israel Muli Ben-Yehuda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Tsafrir

Since Specialization
Citations

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

Fields of papers citing papers by Dan Tsafrir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007292
2 2013229
3 2014198
4 2012150
5 2011129
6 2005115
7 200591
8 200577
9 201459
10
The resource-as-a-service (RaaS) cloud
201258
11 200755
12 201445
13 200645
14
vIOMMU: efficient IOMMU emulation
201139
15 201638
16 200637
17 201937
18 200635
19
Portably solving file TOCTTOU races with hardness amplification
200833
20 201532

About Dan Tsafrir

Dan Tsafrir is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Signal Processing, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Advanced Data Storage Technologies (41 papers), Cloud Computing and Resource Management (34 papers), Security and Verification in Computing (30 papers), Distributed and Parallel Computing Systems (13 papers), Advanced Malware Detection Techniques (13 papers), Distributed systems and fault tolerance (12 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Hardware and Architecture (1.0k citations), Computer Networks and Communications (1.9k citations), Information Systems (1.6k citations), Signal Processing (171 citations) and Artificial Intelligence (480 citations). Dan Tsafrir has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Dror G. Feitelson, Yoav Etsion, Assaf Schuster, Muli Ben-Yehuda, Orna Agmon Ben-Yehuda, Nadav Amit, Adam Morrison, Abel Gordon, Scott Kirkpatrick and Alex Landau. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Storage, ACM SIGMETRICS Performance Evaluation Review, Communications of the ACM and Journal of Parallel and Distributed Computing.

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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