Arsalan Tavakoli

20 papers receiving 1.3k citations

Peers

Arsalan Tavakoli
Comparison fields: 5 of 46
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 535
  • Information Systems 216
  • Computer Vision and Pattern Recognition 80
  • Hardware and Architecture 75
Replace Alireza Ghaffarkhah with:
Alireza Ghaffarkhah United States
Hang Liu United States
Lieguang Zeng China
Emmanuel Baccelli France
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Sungwon Lee South Korea
Yihong Hu China
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Arsalan Tavakoli relative to Alireza Ghaffarkhah United States Alireza Ghaffarkhah's profile →
Citations per field
00.5×2.9×
Alireza Ghaffarkhah · 1×
Citations per year

Countries citing papers authored by Arsalan Tavakoli

Since Specialization
Citations

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

Fields of papers citing papers by Arsalan Tavakoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arsalan Tavakoli

This figure shows the co-authorship network connecting the top 25 collaborators of Arsalan Tavakoli. A scholar is included among the top collaborators of Arsalan Tavakoli 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 Arsalan Tavakoli. Arsalan Tavakoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 40
2 89
3 253
4
Applying NOX to the Datacenter.
167
5
Overview of Existing Routing Protocols for Low Power and Lossy Networks
51
6
HYDRO: A Hybrid Routing Protocol for Lossy and Low Power Networks
19
7
A New Communications API
1
8
Exploring a centralized/distributed hybrid routing protocol for low power wireless networks and large-scale datacenters
4
9
Enabling Innovation Below the Communication API
3
10 170
11 105
12 173
13 107
14 9
15 33
16 10
17 20
18 155
19
Some Implications of Low Power Wireless to IP Networking.
33
20 5

About Arsalan Tavakoli

Arsalan Tavakoli is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Caching and Content Delivery (6 papers) and Mobile Ad Hoc Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Hardware and Architecture (75 citations) and Information Systems (216 citations). Arsalan Tavakoli has collaborated with scholars based in United States. Frequent co-authors include Philip Levis, Prabal Dutta, Ion Stoica, Kannan Srinivasan, Dilip Joseph, Scott Shenker, David Culler, Stephen Dawson-Haggerty, Martín Casado and Teemu Koponen. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Ultrasound in Medicine & Biology and ACM Transactions on Sensor Networks.

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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