A. Paasio

116 papers receiving 775 citations

Peers

A. Paasio
Comparison fields: 5 of 61
  • Computer Networks and Communications 297
  • Electrical and Electronic Engineering 431
  • Biomedical Engineering 289
  • Computer Vision and Pattern Recognition 139
  • Computational Theory and Mathematics 97
Replace Chia‐Hsiang Yang with:
Chia‐Hsiang Yang Taiwan
Liviu Goraş Romania
B. Venkataramani India
Giuseppe Campobello Italy
Viktor Öwall Sweden
Yuan-Hao Huang Taiwan
P. V. Ananda Mohan India
Battula Tirumala Krishna India
Aziza I. Hussein Egypt
Norbert Felber Switzerland
A. Paasio relative to Chia‐Hsiang Yang Taiwan Chia‐Hsiang Yang's profile →
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Chia‐Hsiang Yang · 1×
Citations per year

Countries citing papers authored by A. Paasio

Since Specialization
Citations

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

Fields of papers citing papers by A. Paasio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 200551
3 201549
4 200936
5 199934
6 200421
7 199920
8 201519
9 200816
10 200116
11 200515
12 201415
13 200415
14 200315
15 201114
16 200213
17 200212
18 200612
19 200611
20 200611

About A. Paasio

A. Paasio is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 834 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (59 papers), Neural Networks Stability and Synchronization (59 papers), Neural Networks and Applications (41 papers), CCD and CMOS Imaging Sensors (38 papers), Analog and Mixed-Signal Circuit Design (38 papers), Cellular Automata and Applications (10 papers), Neural dynamics and brain function (6 papers) and Advanced Wireless Communication Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (297 citations), Electrical and Electronic Engineering (431 citations), Biomedical Engineering (289 citations), Computer Vision and Pattern Recognition (139 citations) and Computational Theory and Mathematics (97 citations). A. Paasio has collaborated with scholars based in Finland, Pakistan and Poland. Frequent co-authors include Mika Laiho, Kari A. I. Halonen, Mikko Pänkäälä, Olli Lahdenoja, Tero Koivisto, Mojtaba Jafari Tadi, Jussi H. Poikonen, Veikko Porra, V.M. Brea and Mika Teräs. Their work appears in journals such as International Journal of Circuit Theory and Applications, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and Analog Integrated Circuits and Signal Processing.

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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