Ville Tirronen

2.5k citations
40 papers · 1.8k indexed · 1 hit paper · h-index 17

Ville Tirronen

37 papers receiving 1.7k citations

Hit Papers

Recent advances in differential evolution: a survey and e...6912009202620142020200400600

Peers

Ville Tirronen
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 898
  • Artificial Intelligence 1.3k
  • Computer Science Applications 77
  • Numerical Analysis 45
  • Ecological Modeling 32
Replace William M. Spears with:
William M. Spears United States
Bob McKay South Korea
James Montgomery Australia
Claus Weihs Germany
Peter J. Angeline United States
Yunlong Zhu China
Xiaoli Z. Fern United States
Chao Qian China
Jonathan E. Rowe United Kingdom
Samir W. Mahfoud United States
Ville Tirronen relative to William M. Spears United States William M. Spears's profile →
Citations per field
00.5×4.6×
William M. Spears · 1×
Citations per year

Countries citing papers authored by Ville Tirronen

Since Specialization
Citations

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

Fields of papers citing papers by Ville Tirronen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20228
3 20201
4 201828
5 201610
6 20160
7 20161
8 201512
9 20146
10 201426
11
The Use of Distributed Version Control Systems in Advanced Programming Courses.
20132
12 20139
13 20122
14 201136
15 20116
16 201194
17 20101
18 2009144
19
Recent advances in differential evolution: a survey and experimental analysisbreakdown →
2009691
20 2009100

About Ville Tirronen

Ville Tirronen is a scholar working on Computer Science Applications, Software and Developmental and Educational Psychology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers), Teaching and Learning Programming (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (4 papers), Software Engineering Research (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Computational Theory and Mathematics (898 citations), Artificial Intelligence (1.3k citations) and Computer Science Applications (77 citations). Ville Tirronen has collaborated with scholars based in Finland, Qatar and Sweden. Frequent co-authors include Ferrante Neri, Matthieu Weber, Andrea Caponio, Ville Isomöttönen, Tuomo Rossi, Tommi Kärkkäinen, Kristian Meissner, Serkan Kıranyaz, Moncef Gabbouj and Johanna Ärje. Their work appears in journals such as Information Sciences, Image and Vision Computing and Artificial Intelligence Review.

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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