Riku Saikkonen

435 total citations
12 papers, 290 citations indexed

About

Riku Saikkonen is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Riku Saikkonen has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Science Applications, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Riku Saikkonen's work include Teaching and Learning Programming (4 papers), Advanced Data Storage Technologies (3 papers) and Experimental Learning in Engineering (3 papers). Riku Saikkonen is often cited by papers focused on Teaching and Learning Programming (4 papers), Advanced Data Storage Technologies (3 papers) and Experimental Learning in Engineering (3 papers). Riku Saikkonen collaborates with scholars based in Finland. Riku Saikkonen's co-authors include Lauri Malmi, Ari Korhonen, Eljas Soisalon-Soininen, Seppo Sippu and Jussi Nikander and has published in prestigious journals such as The Computer Journal, ACM SIGCSE Bulletin and Aaltodoc (Aalto University).

In The Last Decade

Riku Saikkonen

11 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riku Saikkonen Finland 6 209 121 114 70 44 12 290
Athanasios Tsintsifas United Kingdom 6 227 1.1× 118 1.0× 128 1.1× 61 0.9× 36 0.8× 8 300
Peter Bancroft Australia 9 167 0.8× 115 1.0× 103 0.9× 34 0.5× 50 1.1× 15 275
Tim Wahls United States 8 169 0.8× 120 1.0× 57 0.5× 32 0.5× 30 0.7× 22 280
Juha Helminen Finland 9 275 1.3× 94 0.8× 49 0.4× 44 0.6× 41 0.9× 13 328
Mike Lopez New Zealand 6 324 1.6× 133 1.1× 84 0.7× 56 0.8× 41 0.9× 9 371
Essi Isohanni Finland 6 268 1.3× 85 0.7× 50 0.4× 18 0.3× 27 0.6× 8 313
Barry L. Kurtz United States 10 206 1.0× 101 0.8× 22 0.2× 52 0.7× 75 1.7× 52 328
Mewati Ayub Indonesia 10 144 0.7× 121 1.0× 29 0.3× 19 0.3× 28 0.6× 47 281
Tobias Kohn United States 7 212 1.0× 73 0.6× 38 0.3× 13 0.2× 23 0.5× 21 317
Kelly Rivers United States 7 417 2.0× 151 1.2× 95 0.8× 13 0.2× 35 0.8× 11 495

Countries citing papers authored by Riku Saikkonen

Since Specialization
Citations

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

Fields of papers citing papers by Riku Saikkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riku Saikkonen

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

All Works

12 of 12 papers shown
1.
Saikkonen, Riku & Eljas Soisalon-Soininen. (2015). Cache-Sensitive Memory Layout for Dynamic Binary Trees. The Computer Journal. 59(5). 630–649. 3 indexed citations
2.
Saikkonen, Riku. (2012). Bulk updates and cache sensitivity in search trees. Aaltodoc (Aalto University). 3 indexed citations
3.
Saikkonen, Riku, et al.. (2007). Online Bulk Deletion. 14. 956–965. 5 indexed citations
4.
Malmi, Lauri, Ari Korhonen, & Riku Saikkonen. (2002). Experiences in automatic assessment on mass courses and issues for designing virtual courses. 55–59. 78 indexed citations
5.
Malmi, Lauri, Ari Korhonen, & Riku Saikkonen. (2002). Experiences in automatic assessment on mass courses and issues for designing virtual courses. ACM SIGCSE Bulletin. 34(3). 55–59. 19 indexed citations
6.
Malmi, Lauri, Ari Korhonen, & Riku Saikkonen. (2002). Experiences in automatic assessment on mass courses and issues for designing virtual courses. 10 indexed citations
7.
Saikkonen, Riku, Lauri Malmi, & Ari Korhonen. (2001). Fully automatic assessment of programming exercises. ACM SIGCSE Bulletin. 33(3). 133–136. 41 indexed citations
8.
Korhonen, Ari, Lauri Malmi, & Riku Saikkonen. (2001). Matrix - concept animation and algorithm simulation system. ACM SIGCSE Bulletin. 33(3). 180–180. 4 indexed citations
9.
Korhonen, Ari, Lauri Malmi, & Riku Saikkonen. (2001). Matrix - concept animation and algorithm simulation system. 180–180. 9 indexed citations
10.
Korhonen, Ari, Lauri Malmi, & Riku Saikkonen. (2001). Design Pattern for Algorithm Animation and Simulation. 1 indexed citations
11.
Korhonen, Ari, et al.. (2001). Matrix - Algorithm Simulation and Animation Framework. 1 indexed citations
12.
Saikkonen, Riku, Lauri Malmi, & Ari Korhonen. (2001). Fully automatic assessment of programming exercises. 133–136. 116 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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