Åke Arvidsson

687 citations
66 papers · 404 · h-index 11

Impact in

    • Network Traffic and Congestion Control
    • Caching and Content Delivery
    • Wireless Networks and Protocols
    • Software-Defined Networks and 5G
    • Peer-to-Peer Network Technologies
    • Human Mobility and Location-Based Analysis

Papers in

Åke Arvidsson

56 papers receiving 370 citations

Peers

Åke Arvidsson
Comparison fields: 5 of 71
  • Computer Networks and Communications 290
  • Transportation 41
  • Developmental Neuroscience 18
  • Electrical and Electronic Engineering 192
  • Computer Vision and Pattern Recognition 33
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Citations per field
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Citations per year

Countries citing papers authored by Åke Arvidsson

Since Specialization
Citations

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

Fields of papers citing papers by Åke Arvidsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201840
3 201232
4 201022
5 201221
6 201220
7 201820
8 201612
9 201111
10
Cross-layer adaptation for TCP-based applications in WCDMA systems
200510
11 201310
12 20169
13 20068
14
A five year perspective of traffic pattern evolution in a residential broadband access network
20126
15
Balance in muscle strength between agonist and antagonist muscles of the trunk.
19856
16 20146
17
Analysis of the Accuracy of Bursty Traffic Models
19936
18 20026
19 20135
20
VP reconfiguration through Simulated Allocation
19965

About Åke Arvidsson

Åke Arvidsson is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 66 papers that have together received 404 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (41 papers), Caching and Content Delivery (19 papers), Advanced Queuing Theory Analysis (14 papers), Advanced Optical Network Technologies (12 papers), Advanced Wireless Network Optimization (10 papers), Peer-to-Peer Network Technologies (10 papers), Wireless Communication Networks Research (9 papers) and Green IT and Sustainability (8 papers). The work is most often cited by research in Computer Networks and Communications (290 citations), Transportation (41 citations), Developmental Neuroscience (18 citations), Electrical and Electronic Engineering (192 citations) and Computer Vision and Pattern Recognition (33 citations). Åke Arvidsson has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ying Zhang, Karl‐Johan Grinnemo, Anna Brunström, Fidel Liberal, Lars Westberg, Maria Kihl, Björn Grönvall, Danielle van Westen, Bo Norrving and Joakim Bood. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, ACM SIGCOMM Computer Communication Review, Computer Networks, European Journal of Neurology and Performance Evaluation.

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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