Marko M. Mäkelä

3.2k citations
76 papers · 1.9k · h-index 21

Impact in

Papers in

Marko M. Mäkelä

72 papers receiving 1.8k citations

Peers

Marko M. Mäkelä
Comparison fields: 5 of 104
  • Numerical Analysis 707
  • Computational Theory and Mathematics 1.2k
  • Control and Systems Engineering 468
  • Management Science and Operations Research 248
  • Computational Mechanics 379
Replace Jacek Gondzio with:
Jacek Gondzio United Kingdom
Samuel Burer United States
Farid Alizadeh United States
Pham Dinh Tao France
Ilan Adler United States
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Elizabeth D. Dolan United States
Jean-Philippe Vial Switzerland
Adil Bagirov Australia
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Citations per year

Countries citing papers authored by Marko M. Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by Marko M. Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko M. Mäkelä. 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 Marko M. Mäkelä. The network helps show where Marko M. Mäkelä may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992194
2 2004157
3 2014147
4 2004125
5 1992122
6 1995115
7 2002109
8 200089
9 200385
10 200479
11 200670
12 199943
13 200542
14 201639
15 199836
16 201831
17 202031
18 201030
19 201026
20
ACO Algorithms for the Travelling Salesman Problem
199926

About Marko M. Mäkelä

Marko M. Mäkelä is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Computational Mechanics and Artificial Intelligence, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (27 papers), Optimization and Variational Analysis (20 papers), Advanced Multi-Objective Optimization Algorithms (16 papers), Advanced Control Systems Optimization (10 papers), Sparse and Compressive Sensing Techniques (8 papers), Astrophysics and Star Formation Studies (6 papers), Stellar, planetary, and galactic studies (6 papers) and Optimization and Mathematical Programming (5 papers). The work is most often cited by research in Numerical Analysis (707 citations), Computational Theory and Mathematics (1.2k citations), Control and Systems Engineering (468 citations), Management Science and Operations Research (248 citations) and Computational Mechanics (379 citations). Marko M. Mäkelä has collaborated with scholars based in Finland, Australia and Pakistan. Frequent co-authors include Kaisa Miettinen, Napsu Karmitsa, Pekka Neittaanmäki, Adil Bagirov, Pekka Neittaanmäki, Jari Toivanen, Yury Nikulin, Tapio Westerlund, L. K. Haikala and Sona Taheri. Their work appears in journals such as Journal of Global Optimization, Optimization, European Journal of Operational Research, Optimization methods & software and Astronomy and Astrophysics.

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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