Mika Laiho

1.8k total citations
118 papers, 1.2k citations indexed

About

Mika Laiho is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mika Laiho has authored 118 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Electrical and Electronic Engineering, 43 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Mika Laiho's work include Advanced Memory and Neural Computing (60 papers), Neural Networks Stability and Synchronization (35 papers) and Analog and Mixed-Signal Circuit Design (22 papers). Mika Laiho is often cited by papers focused on Advanced Memory and Neural Computing (60 papers), Neural Networks Stability and Synchronization (35 papers) and Analog and Mixed-Signal Circuit Design (22 papers). Mika Laiho collaborates with scholars based in Finland, United States and Pakistan. Mika Laiho's co-authors include Eero Lehtonen, A. Paasio, Jussi Poikonen, K. Halonen, Olli Lahdenoja, Mikko Saukoski, Pentti Kanerva, Mikko Pänkäälä, Wei Lü and V.M. Brea and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Electronics Letters.

In The Last Decade

Mika Laiho

103 papers receiving 1.2k citations

Peers

Mika Laiho
Comparison fields: 5 of 62
  • Electrical and Electronic Engineering 1.0k
  • Cellular and Molecular Neuroscience 468
  • Computer Networks and Communications 211
  • Biomedical Engineering 164
  • Cognitive Neuroscience 142
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Chia‐Hsiang Yang Taiwan
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Citations per field, relative to Mika Laiho
Mika Laiho · 1×
Citations per year, relative to Mika Laiho
Mika Laiho · 1×

Countries citing papers authored by Mika Laiho

Since Specialization
Citations

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

Fields of papers citing papers by Mika Laiho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Laiho

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Laiho. A scholar is included among the top collaborators of Mika Laiho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mika Laiho. Mika Laiho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 32
5
Memristive Realization of Bipolar Memcapacitor
1
6 33
7 160
8 34
9 2
10 156
11 3
12 5
13 11
14 45
15 6
16 3
17 4
18
A mixed–mode array processor with polynomial–type couplings
3
19
Effects of Partitioning in a Mixed-Mode CNN
4
20
A full-custom self-timed DSP processor implementation
1

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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