Kåre Synnes

1.7k citations
82 papers · 1.2k · h-index 20

Impact in

Papers in

Kåre Synnes

71 papers receiving 1.1k citations

Peers

Kåre Synnes
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 552
  • Human-Computer Interaction 117
  • Computer Networks and Communications 409
  • Physical Therapy, Sports Therapy and Rehabilitation 44
  • Computer Science Applications 56
Replace Josef Hallberg with:
Josef Hallberg Sweden
Thomas Kirste Germany
Ian Cleland United Kingdom
Éric Campo France
Ramón Hervás Spain
Clemens Holzmann Austria
Nuno Pombo Portugal
Vangelis Metsis United States
Marcela D. Rodríguez Mexico
Maja Stikic United States
Kåre Synnes relative to Josef Hallberg Sweden Josef Hallberg's profile →
Citations per field
00.5×1.5×
Josef Hallberg · 1×
Citations per year

Countries citing papers authored by Kåre Synnes

Since Specialization
Citations

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

Fields of papers citing papers by Kåre Synnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013311
2 2003134
3 201851
4 200344
5 202034
6 201034
7 200734
8 200030
9 202129
10 200628
11 201424
12 200924
13 199824
14 200522
15 200921
16 200320
17 200820
18 200919
19 201419
20
mMOD: the multicast Media-on-Demand system
199719

About Kåre Synnes

Kåre Synnes is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science, Information Systems and Electrical and Electronic Engineering, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (35 papers), Peer-to-Peer Network Technologies (12 papers), Multimedia Communication and Technology (11 papers), Opportunistic and Delay-Tolerant Networks (8 papers), IoT and Edge/Fog Computing (7 papers), Technology Use by Older Adults (7 papers), Mobile Agent-Based Network Management (7 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (552 citations), Human-Computer Interaction (117 citations), Computer Networks and Communications (409 citations), Physical Therapy, Sports Therapy and Rehabilitation (44 citations) and Computer Science Applications (56 citations). Kåre Synnes has collaborated with scholars based in Sweden, United Kingdom and Colombia. Frequent co-authors include Josef Hallberg, Peter Parnes, Chris Nugent, Basel Kikhia, Ian Cleland, Dewar Finlay, Malin Nilsson, Andrey Boytsov, Sally McClean and Jeretta Horn Nord. Their work appears in journals such as Sensors, Sustainability, IEEE Pervasive Computing, Lecture notes in computer science and Computer Communications.

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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