S. Visuri

1.1k citations
21 papers · 737 · h-index 10

Impact in

Papers in

S. Visuri

21 papers receiving 667 citations

Peers

S. Visuri
Comparison fields: 5 of 40
  • Computer Networks and Communications 412
  • Signal Processing 136
  • Statistics and Probability 96
  • Electrical and Electronic Engineering 520
  • Aerospace Engineering 61
Replace Charles C. Cavalcante with:
Charles C. Cavalcante Brazil
L.M. Garth New Zealand
Pei-Jung Chung United Kingdom
X. Wang United States
Dimitrios Katselis Sweden
Mario Tanda Italy
Tsung‐Hsien Liu Taiwan
S.B. Slimane Sweden
Eduardo Martos‐Naya Spain
S. Visuri relative to Charles C. Cavalcante Brazil Charles C. Cavalcante's profile →
Citations per field
00.5×4.4×
Charles C. Cavalcante · 1×
Citations per year

Countries citing papers authored by S. Visuri

Since Specialization
Citations

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

Fields of papers citing papers by S. Visuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside S. Visuri, 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 S. Visuri Line = papers co-authored together S. Visuri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006356
2 200189
3 200083
4 200656
5 200650
6 200315
7 200313
8 200611
9
Array and multichannel signal processing using nonparametric statistics
200110
10 20049
11 20078
12 20037
13 20046
14 20056
15 20024
16 19993
17 20033
18 20023
19 20152
20 20022

About S. Visuri

S. Visuri is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Aerospace Engineering, having authored 21 papers that have together received 737 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Communication Techniques (8 papers), Blind Source Separation Techniques (6 papers), Direction-of-Arrival Estimation Techniques (6 papers), Speech and Audio Processing (5 papers), Wireless Communication Networks Research (5 papers), Cooperative Communication and Network Coding (4 papers) and Advanced Wireless Network Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (412 citations), Signal Processing (136 citations), Statistics and Probability (96 citations), Electrical and Electronic Engineering (520 citations) and Aerospace Engineering (61 citations). S. Visuri has collaborated with scholars based in Finland, France and Switzerland. Frequent co-authors include Visa Koivunen, Hannu Oja, Thomas Sälzer, David Astély, Αντώνιος Αλεξίου, Bernd Bandemer, Martin Haardt, Helmut Bölcskei, Dirk Slock and Jyrki Möttönen. Their work appears in journals such as Journal of Statistical Planning and Inference, IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Aaltodoc (Aalto University) and Zenodo (CERN European Organization for Nuclear Research).

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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