Tuomo Kakkonen
- Artificial Intelligence top 5%
- Information Systems top 10%
- Safety Research top 5%
- Computer Science Applications top 10%
- Sociology and Political Science
- Co-authors
- Erkki SutinenMaxim MozgovoyNiko MyllerGeorgina CosmaYue DaiMyriam MunezeroCalkin Suero MonteroVitaly Klyuev
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (9 papers)Advanced Text Analysis Techniques (7 papers)
In The Last Decade
Tuomo Kakkonen
21 papers receiving 279 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 221
- Information Systems 100
- Safety Research 67
- Computer Science Applications 29
- Sociology and Political Science 23
Countries citing papers authored by Tuomo Kakkonen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automatic Detection of Antisocial Behaviour in Texts | 13 |
| 2 | Antisocial Behavior corpus for harmful language detection | 8 |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | SentiProfiler: Creating Comparable Visual Profiles of Sentimental Content in Texts | 8 |
| 9 | 3 | |
| 10 | Towards automatic detection of antisocial behavior from texts | 5 |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 11 | |
| 14 | 40 | |
| 15 | Comparison of Dimension Reduction Methods for Automated Essay Grading | 60 |
| 16 | Coverage-based Evaluation of Parser Generalizability | 1 |
| 17 | 20 | |
| 18 | Noise reduction in LSA-based essay assessment | 1 |
| 19 | 42 | |
| 20 | Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment. | 7 |
About Tuomo Kakkonen
Tuomo Kakkonen is a scholar working on Artificial Intelligence, Safety Research and Management Information Systems, having authored 21 papers that have together received 309 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Safety Research (67 citations), Artificial Intelligence (221 citations) and Computer Science Applications (29 citations). Tuomo Kakkonen has collaborated with scholars based in Finland and Japan. Frequent 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. Their work appears in journals such as Educational Technology & Society, Journal of Educational Computing Research and International Journal of Continuing Engineering Education and Life-Long Learning.
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.