Marko M. Mäkelä

3.1k total citations
76 papers, 1.9k citations indexed

About

Marko M. Mäkelä is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Marko M. Mäkelä has authored 76 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Theory and Mathematics, 27 papers in Numerical Analysis and 17 papers in Control and Systems Engineering. Recurrent topics in Marko M. Mäkelä's work include Advanced Optimization Algorithms Research (27 papers), Optimization and Variational Analysis (20 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Marko M. Mäkelä is often cited by papers focused on Advanced Optimization Algorithms Research (27 papers), Optimization and Variational Analysis (20 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Marko M. Mäkelä collaborates with scholars based in Finland, Australia and Pakistan. Marko M. Mäkelä's co-authors include Kaisa Miettinen, Napsu Karmitsa, Pekka Neittaanmäki, Adil Bagirov, Pekka Neittaanmäki, Jari Toivanen, Sona Taheri, Yury Nikulin, Tapio Westerlund and L. K. Haikala and has published in prestigious journals such as European Journal of Operational Research, The Journal of the Acoustical Society of America and Pattern Recognition.

In The Last Decade

Marko M. Mäkelä

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marko M. Mäkelä Finland	21	1.2k	697	465	375	372	76	1.9k
Jacek Gondzio United Kingdom	29	968 0.8×	1.1k 1.5×	388 0.8×	271 0.7×	434 1.2×	109	2.5k
Jörg Fliege United Kingdom	18	852 0.7×	526 0.8×	279 0.6×	276 0.7×	108 0.3×	62	1.8k
Farid Alizadeh United States	13	1.5k 1.3×	1.5k 2.1×	454 1.0×	251 0.7×	557 1.5×	29	2.7k
Liwei Zhang China	18	723 0.6×	583 0.8×	289 0.6×	211 0.6×	315 0.8×	179	1.5k
Romesh Saigal United States	23	989 0.9×	896 1.3×	387 0.8×	155 0.4×	325 0.9×	70	2.2k
Gianni Di Pillo Italy	20	877 0.8×	871 1.2×	604 1.3×	219 0.6×	264 0.7×	48	1.8k
Joaquím J. Júdice Portugal	20	1.0k 0.9×	892 1.3×	544 1.2×	92 0.2×	193 0.5×	78	1.6k
Elizabeth D. Dolan United States	5	1.7k 1.4×	2.2k 3.1×	491 1.1×	461 1.2×	889 2.4×	7	3.2k
Krzysztof C. Kiwiel Poland	28	1.6k 1.4×	1.7k 2.5×	274 0.6×	301 0.8×	1.0k 2.8×	76	2.7k
Ilan Adler United States	18	1.1k 0.9×	1.2k 1.7×	331 0.7×	165 0.4×	222 0.6×	52	2.0k

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-authorship network of co-authors of Marko M. Mäkelä

This figure shows the co-authorship network connecting the top 25 collaborators of Marko M. Mäkelä. A scholar is included among the top collaborators of Marko M. Mäkelä 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 Marko M. Mäkelä. Marko M. Mäkelä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Karmitsa, Napsu, et al.. (2025). Stochastic limited memory bundle algorithm for clustering in big data. Pattern Recognition. 165. 111654–111654.

Nayyeri, Mojtaba, et al.. (2024). Correntropy-Based Constructive One Hidden Layer Neural Network. Algorithms. 17(1). 49–49. 1 indexed citations

Karmitsa, Napsu, et al.. (2023). Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression. Algorithms. 16(9). 444–444.

Mirtti, Tuomas, et al.. (2023). OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. PLoS Computational Biology. 19(3). e1010333–e1010333. 3 indexed citations

Bagirov, Adil, et al.. (2018). Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming. SIAM Journal on Optimization. 28(2). 1892–1919. 31 indexed citations

Haikala, L. K., et al.. (2017). Radio observations of globulettes in the Carina nebula. Astronomy and Astrophysics. 602. A61–A61. 8 indexed citations

Mäkelä, Marko M., L. K. Haikala, & G. F. Gahm. (2017). Rosette nebula globules: Seahorse giving birth to a star. Astronomy and Astrophysics. 605. A82–A82. 1 indexed citations

Mäkelä, Marko M., L. K. Haikala, & G. F. Gahm. (2014). Rosette globulettes and shells in the infrared. Astronomy and Astrophysics. 567. A108–A108. 4 indexed citations

Teuho, Jarmo, et al.. (2014). Comparison of end-expiratory respiratory gating methods for PET/CT. Acta Oncologica. 53(8). 1079–1085. 8 indexed citations

10.

Gahm, G. F., C. M. Persson, Marko M. Mäkelä, & L. K. Haikala. (2013). Mass and motion of globulettes in the Rosette Nebula. Springer Link (Chiba Institute of Technology). 13 indexed citations

11.

Mäkelä, Marko M. & L. K. Haikala. (2012). Star formation, structure, and formation mechanism of cometary globules: near-infrared observations of CG 1 and CG 2. Astronomy and Astrophysics. 550. A83–A83. 9 indexed citations

12.

Haikala, L. K., Marko M. Mäkelä, & P. Väisänen. (2010). Star formation in Cometary Globule 1: the second generation. Springer Link (Chiba Institute of Technology). 6 indexed citations

13.

Miettinen, Kaisa, et al.. (2007). Interactive Software for Multiobjective Optimization: IND-NIMBUS. WSEAS Transactions on Computers archive. 1(1). 87–94. 4 indexed citations

14.

Miettinen, Kaisa, et al.. (2006). IND-NIMBUS software for multiobjective optimization. 654–659. 2 indexed citations

15.

Hämäläinen, Jari, et al.. (2004). Multiobjective Decision Making for Papermaking. 2 indexed citations

16.

Hakanen, Jussi, Marko M. Mäkelä, Kaisa Miettinen, & Jussi Manninen. (2004). On interactive multiobjective optimization with nimbus in chemical process design. 9 indexed citations

17.

Miettinen, Kaisa, et al.. (2004). Quasi-random initial population for genetic algorithms. Computers & Mathematics with Applications. 47(12). 1885–1895. 122 indexed citations

18.

Mäkelä, Marko M.. (2002). Efficiently verifying safety properties with idle office computers. Formal Methods. 11–16.

19.

Mäkelä, Marko M., et al.. (1998). Performance Analysis of a Traffic Control System Using Stochastic Petri Nets. 47(1). 43–50. 4 indexed citations

20.

Miettinen, Kaisa, et al.. (1998). Optimal Control of Continuous Casting by Nondifferentiable Multiobjective Optimization. Computational Optimization and Applications. 11(2). 177–194. 36 indexed citations

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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