Dag Håkon Olsen
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Management Information Systems top 5%
- Information Systems top 10%
- Education top 10%
- Co-authors
- Ilias O. PappasBjørn Erik MunkvoldPrincely IfinedoEli HustadTom Roar EikebrokkRania El-Gazzar
- Topics
- Information Technology Governance and Strategy (4 papers)ERP Systems Implementation and Impact (4 papers)Technology Adoption and User Behaviour (2 papers)
In The Last Decade
Dag Håkon Olsen
9 papers receiving 410 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Science Applications 153
- Artificial Intelligence 119
- Management Information Systems 106
- Information Systems 82
- Education 65
Countries citing papers authored by Dag Håkon Olsen
This map shows the geographic impact of Dag Håkon Olsen'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 Dag Håkon Olsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dag Håkon Olsen more than expected).
Fields of papers citing papers by Dag Håkon Olsen
This network shows the impact of papers produced by Dag Håkon Olsen. 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 Dag Håkon Olsen. The network helps show where Dag Håkon Olsen may publish in the future.
Co-authorship network of co-authors of Dag Håkon Olsen
This figure shows the co-authorship network connecting the top 25 collaborators of Dag Håkon Olsen. A scholar is included among the top collaborators of Dag Håkon Olsen 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 Dag Håkon Olsen. Dag Håkon Olsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Toward an Understanding of Big Data Analytics and Competitive Performance. | 6 |
| 2 | AI-enabled adaptive learning systems: A systematic mapping of the literaturebreakdown → | 313 |
| 3 | 6 | |
| 4 | ROBOTIC PROCESS AUTOMATION FOR KNOWLEDGE WORKERS – WILL IT LEAD TO EMPOWERMENT OR LAY-OFFS? | 2 |
| 5 | ENTERPRISE ARCHITECTURE CHALLENGES : A CASE STUDY OF THREE NORWEGIAN PUBLIC SECTORS | 15 |
| 6 | AN INSTITUTIONAL LENS ON CLOUD COMPUTING ADOPTION – A STUDY OF INSTITUTIONAL FACTORS AND ADOPTION STRATEGIES | 1 |
| 7 | 11 | |
| 8 | 76 | |
| 9 | Exploring the ERP pre-implementation process in a small-and-medium-sized enterprise: a case study of a Norwegian retail company. | 4 |
About Dag Håkon Olsen
Dag Håkon Olsen is a scholar working on Management Information Systems, Information Systems and Management and Computer Science Applications, having authored 9 papers that have together received 434 indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (4 papers), ERP Systems Implementation and Impact (4 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Health Informatics (39 citations), Computer Science Applications (153 citations) and Management Information Systems (106 citations). Dag Håkon Olsen has collaborated with scholars based in Norway and Canada. Frequent co-authors include Ilias O. Pappas, Bjørn Erik Munkvold, Princely Ifinedo, Eli Hustad, Tom Roar Eikebrokk and Rania El-Gazzar. Their work appears in journals such as International Journal of Production Research, Journal of the Association for Information Systems and Computers and Education Artificial Intelligence.
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.