Dan Tsafrir

3.1k citations
81 papers · 2.0k · h-index 22

Impact in

Papers in

Dan Tsafrir

81 papers receiving 1.9k citations

Peers

Dan Tsafrir
Comparison fields: 5 of 55
  • Hardware and Architecture 851
  • Computer Networks and Communications 1.6k
  • Information Systems 1.3k
  • Signal Processing 149
  • Artificial Intelligence 421
Replace Muli Ben-Yehuda with:
Muli Ben-Yehuda Israel
Kenneth Salem Canada
Dhruba Borthakur United States
Arif Merchant United States
Anastassia Ailamaki United States
Khaled Elmeleegy United States
Adam Silberstein United States
Navendu Jain United States
Benjamin Hindman United States
Tilmann Rabl Germany
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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007237
2 2013212
3 2014162
4 2012141
5 2011119
6 2005104
7 200562
8 201456
9 200752
10
vIOMMU: efficient IOMMU emulation
201139
11 200638
12 201937
13 201434
14 201634
15 201530
16
Portably solving file TOCTTOU races with hardness amplification
200829
17 201629
18 201728
19 200627
20 201627

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 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (40 papers), Advanced Data Storage Technologies (39 papers), Security and Verification in Computing (30 papers), Cloud Computing and Resource Management (30 papers), Advanced Malware Detection Techniques (13 papers), Distributed and Parallel Computing Systems (11 papers), Distributed systems and fault tolerance (11 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Hardware and Architecture (851 citations), Computer Networks and Communications (1.6k citations), Information Systems (1.3k citations), Signal Processing (149 citations) and Artificial Intelligence (421 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, Abel Gordon, Adam Morrison, Scott Kirkpatrick and Nadav Har’El. 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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