Erkki Mäkinen

101 papers receiving 789 citations

Peers

Erkki Mäkinen
Comparison fields: 5 of 116
  • Artificial Intelligence 422
  • Computational Theory and Mathematics 227
  • Computer Vision and Pattern Recognition 166
  • Information Systems 162
  • Computer Networks and Communications 147
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Citations per year

Countries citing papers authored by Erkki Mäkinen

Since Specialization
Citations

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

Fields of papers citing papers by Erkki Mäkinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkki Mäkinen

This figure shows the co-authorship network connecting the top 25 collaborators of Erkki Mäkinen. A scholar is included among the top collaborators of Erkki Mäkinen 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 Erkki Mäkinen. Erkki Mäkinen 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
#WorkIndexed citations
1 4
2
On context-free derivations
0
3
Remarks on the assignment heuristic for drawing bipartite graphs
0
4 14
5
Pattern-based genetic model refinements in MDA
14
6
The Barycenter Heuristic and the Reorderable Matrix
23
7 2
8
A Conjecture on the Error Bound of the Barycenter Heuristic.
1
9
Inferring pure context-free languages from positive data
14
10
On inferring zero-reversible languages
2
11
On lexicographic enumeration of regular and context-free languages
7
12 15
13
A note on Graftings, Rotations, and Distances in Binary Trees.
0
14
A note on the complexity of trie compaction.
1
15 26
16
Normal forms for pure context-free grammars.
1
17
On szilard languages of pure context-free grammars
3
18
On Certain Properties of Left Szilard Languages.
2
19
The adjoint network in sensitivity investigations: The time-domain network sensitivity.
0
20
Orientation of tissue blocks for ultrathin sectioning--a one-stage embedding procedure.
2

About Erkki Mäkinen

Erkki Mäkinen is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Software, having authored 110 papers that have together received 891 indexed citations. Recurring topics across this work include semigroups and automata theory (37 papers), Algorithms and Data Compression (27 papers) and DNA and Biological Computing (24 papers). The work is most often cited by research in Software (118 citations), Computer Graphics and Computer-Aided Design (87 citations) and Computational Theory and Mathematics (227 citations). Erkki Mäkinen has collaborated with scholars based in Finland, United Kingdom and Romania. Frequent co-authors include Kai Koskimies, Harri Siirtola, Hongmei He, Jyrki Katajainen, Tarja Systä, Takeshi Koshiba, Ondřej Sýkora, Lu Li, Eeva-Liisa Viskari and Jaana Isojärvi. Their work appears in journals such as Information Sciences, International Journal of Electrical Power & Energy Systems and Water Air & Soil Pollution.

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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