Chen Avin

2.7k citations
121 papers · 1.7k · h-index 23

Impact in

Papers in

Chen Avin

115 papers receiving 1.6k citations

Peers

Chen Avin
Comparison fields: 5 of 95
  • Computer Networks and Communications 1.2k
  • Statistics and Probability 139
  • Statistical and Nonlinear Physics 195
  • Information Systems 219
  • Computational Theory and Mathematics 130
Replace Petra Berenbrink with:
Petra Berenbrink Canada
Marc Lelarge France
Zvi Lotker Israel
Jiaming Xu United States
Andrea Clementi Italy
Dmitri Botvich Ireland
Jared Saia United States
Randolph Nelson United States
Hongsuda Tangmunarunkit United States
Reza Rejaie United States
Chen Avin relative to Petra Berenbrink Canada Petra Berenbrink's profile →
Citations per field
00.5×5.4×
Petra Berenbrink · 1×
Citations per year

Countries citing papers authored by Chen Avin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Avin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifiability of path-specific effects
2005142
2 2008125
3 200491
4 200885
5 200772
6 201157
7 201555
8 201148
9 200548
10 201546
11 201944
12 202037
13 200935
14 200632
15 200732
16 201231
17 201929
18 201028
19 202126
20 201825

About Chen Avin

Chen Avin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 121 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (30 papers), Mobile Ad Hoc Networks (25 papers), Cloud Computing and Resource Management (22 papers), Interconnection Networks and Systems (21 papers), Caching and Content Delivery (19 papers), Opportunistic and Delay-Tolerant Networks (18 papers), Distributed systems and fault tolerance (18 papers) and Complex Network Analysis Techniques (17 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Statistics and Probability (139 citations), Statistical and Nonlinear Physics (195 citations), Information Systems (219 citations) and Computational Theory and Mathematics (130 citations). Chen Avin has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Zvi Lotker, Stefan Schmid, Michal Koucký, Gunes Ercal, Judea Pearl, Ilya Shpitser, Carlos Brito, Bhaskar Krishnamachari, David Peleg and Michael Borokhovich. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Computer Networks, Theoretical Computer Science, Ad Hoc Networks and IEEE/ACM Transactions on Networking.

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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