Tor A. Ramstad

976 citations
62 papers · 681 · h-index 14

Impact in

Papers in

Tor A. Ramstad

60 papers receiving 646 citations

Peers

Tor A. Ramstad
Comparison fields: 5 of 42
  • Signal Processing 137
  • Computer Networks and Communications 287
  • Computer Vision and Pattern Recognition 206
  • Electrical and Electronic Engineering 448
  • Biomedical Engineering 155
Replace M. Hatori with:
M. Hatori Japan
Thomas W. Rondeau United States
Hideichi Sasaoka Japan
Veerle Derudder Belgium
André B.J. Kokkeler Netherlands
C. Dick United States
Tadashi Wadayama Japan
Y.-C. Jenq United States
P.B. Denyer United Kingdom
S. Mahmoud Canada
Tor A. Ramstad relative to M. Hatori Japan M. Hatori's profile →
Citations per field
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M. Hatori · 1×
Citations per year

Countries citing papers authored by Tor A. Ramstad

Since Specialization
Citations

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

Fields of papers citing papers by Tor A. Ramstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tor A. Ramstad. 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 Tor A. Ramstad. The network helps show where Tor A. Ramstad may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009126
2 201554
3 200953
4 201041
5 199538
6 201237
7 201031
8 200625
9 200724
10 199023
11 200918
12 200917
13 201516
14 200613
15 200411
16 201310
17 201910
18 19989
19 20077
20 19927

About Tor A. Ramstad

Tor A. Ramstad is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Biomedical Engineering and Signal Processing, having authored 62 papers that have together received 681 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (26 papers), Wireless Communication Security Techniques (18 papers), Digital Filter Design and Implementation (14 papers), Image and Signal Denoising Methods (12 papers), Advanced Wireless Communication Techniques (12 papers), Wireless Body Area Networks (10 papers), Cooperative Communication and Network Coding (7 papers) and Error Correcting Code Techniques (7 papers). The work is most often cited by research in Signal Processing (137 citations), Computer Networks and Communications (287 citations), Computer Vision and Pattern Recognition (206 citations), Electrical and Electronic Engineering (448 citations) and Biomedical Engineering (155 citations). Tor A. Ramstad has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Pål Anders Floor, Ilangko Balasingham, Fredrik Hekland, Kenneth Rose, Emrah Akyol, Mikael Skoglund, Raul Chávez‐Santiago, Sven Ole Aase, Ali Khaleghi and Tage Røsten. Their work appears in journals such as IEEE Transactions on Communications, IEEE Access, Speech Communication, IEEE Transactions on Image Processing and IEEE Journal of Biomedical and Health Informatics.

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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