Tuomo Kakkonen

38 total papers · 621 total citations
21 papers, 308 citations indexed

About

Tuomo Kakkonen is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Tuomo Kakkonen has authored 21 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Tuomo Kakkonen's work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (7 papers). Tuomo Kakkonen is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (7 papers). Tuomo Kakkonen collaborates with scholars based in Finland and Japan. Tuomo Kakkonen's co-authors include Erkki Sutinen, Maxim Mozgovoy, Niko Myller, Georgina Cosma, Yue Dai, Myriam Munezero, Calkin Suero Montero, Vitaly Klyuev, Tomi Kinnunen and Carolina Islas Sedano and has published in prestigious journals such as Educational Technology & Society, Journal of Educational Computing Research and International Journal of Continuing Engineering Education and Life-Long Learning.

In The Last Decade

Tuomo Kakkonen

21 papers receiving 278 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tuomo Kakkonen 220 99 66 29 23 21 308
Martijn Millecamp 157 0.7× 109 1.1× 50 0.8× 73 2.5× 30 1.3× 17 336
Esther Kaufmann 195 0.9× 69 0.7× 21 0.3× 15 0.5× 22 1.0× 22 362
Fakhroddin Noorbehbahani 133 0.6× 76 0.8× 48 0.7× 42 1.4× 39 1.7× 21 350
Mohammed Y. Shakor 148 0.7× 57 0.6× 28 0.4× 59 2.0× 11 0.5× 15 305
Darius Pfitzner 123 0.6× 46 0.5× 50 0.8× 19 0.7× 14 0.6× 13 347
Nigar M. Shafiq Surameery 149 0.7× 39 0.4× 28 0.4× 57 2.0× 12 0.5× 13 299
Michael Redmond 124 0.6× 55 0.6× 13 0.2× 13 0.4× 15 0.7× 23 266
April Yi Wang 98 0.4× 106 1.1× 36 0.5× 69 2.4× 15 0.7× 19 275
Isabelle Moulinier 242 1.1× 129 1.3× 30 0.5× 11 0.4× 18 0.8× 11 333
Agathe Balayn 147 0.7× 30 0.3× 108 1.6× 19 0.7× 29 1.3× 22 242

Countries citing papers authored by Tuomo Kakkonen

Since Specialization
Citations

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

Fields of papers citing papers by Tuomo Kakkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuomo Kakkonen

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

All Works

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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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