Eija Kaasinen
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 2%
- Sociology and Political Science top 5%
- Information Systems top 5%
- Co-authors
- Päivi HeikkiläSusanna AromaaTimo LaakkoHanna KoskinenVirpi RotoS MachFranziska SchmalfußTimo Kuula
- Topics
- Innovative Human-Technology Interaction (19 papers)Context-Aware Activity Recognition Systems (9 papers)Green IT and Sustainability (6 papers)
- Cited by
- Human-Computer InteractionInformation Systems and ManagementIndustrial and Manufacturing Engineering
- Partner nations
- FinlandNorwayUnited States
In The Last Decade
Eija Kaasinen
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Human-Computer Interaction 302
- Computer Vision and Pattern Recognition 256
- Industrial and Manufacturing Engineering 243
- Sociology and Political Science 243
- Information Systems 201
Countries citing papers authored by Eija Kaasinen
This map shows the geographic impact of Eija Kaasinen'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 Eija Kaasinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eija Kaasinen more than expected).
Fields of papers citing papers by Eija Kaasinen
This network shows the impact of papers produced by Eija Kaasinen. 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 Eija Kaasinen. The network helps show where Eija Kaasinen may publish in the future.
Co-authorship network of co-authors of Eija Kaasinen
This figure shows the co-authorship network connecting the top 25 collaborators of Eija Kaasinen. A scholar is included among the top collaborators of Eija Kaasinen 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 Eija Kaasinen. Eija Kaasinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 205 | |
| 3 | 13 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | Augmented Reality - Introduction to the theme. | 1 |
| 10 | 9 | |
| 11 | 3 | |
| 12 | Persuasive Design in Mobile Applications for Mental Well-Being: Multidisciplinary Expert Review | 4 |
| 13 | 25 | |
| 14 | 21 | |
| 15 | Mobile Internet User Experience: Introduction to the Special Issue | 1 |
| 16 | 22 | |
| 17 | Finpilot2 Final report - User Acceptance of Mobile TV Services | 2 |
| 18 | 48 | |
| 19 | Mobile-Transparent Access to Web Services. | 3 |
| 20 | 7 |
About Eija Kaasinen
Eija Kaasinen is a scholar working on Human-Computer Interaction, Marketing and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (19 papers), Context-Aware Activity Recognition Systems (9 papers) and Green IT and Sustainability (6 papers). The work is most often cited by research in Human-Computer Interaction (302 citations), Information Systems and Management (175 citations) and Industrial and Manufacturing Engineering (243 citations). Eija Kaasinen has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Päivi Heikkilä, Susanna Aromaa, Timo Laakko, Hanna Koskinen, Virpi Roto, S Mach, Franziska Schmalfuß, Timo Kuula, Marja Liinasuo and Rakesh Mehta. Their work appears in journals such as Sustainability, Computers & Industrial Engineering and Computer Networks.
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.