Vegard Engen
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Information Systems
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Jonathan VincentKeith PhalpStephen PhillipsJuri PapayMarika LüdersTaha YasseriAmanda C. SchierzAsbjørn Følstad
- Topics
- Digital and Traditional Archives Management (2 papers)Imbalanced Data Classification Techniques (2 papers)Anomaly Detection Techniques and Applications (2 papers)
- Journals
- ACM Computing SurveysIntelligent Data AnalysisInternational Journal of Knowledge-based and Intelligent Engineering Systems
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Vegard Engen
10 papers receiving 119 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 70
- Computer Networks and Communications 67
- Information Systems 33
- Signal Processing 27
- Electrical and Electronic Engineering 8
Countries citing papers authored by Vegard Engen
This map shows the geographic impact of Vegard Engen'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 Vegard Engen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vegard Engen more than expected).
Fields of papers citing papers by Vegard Engen
This network shows the impact of papers produced by Vegard Engen. 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 Vegard Engen. The network helps show where Vegard Engen may publish in the future.
Co-authorship network of co-authors of Vegard Engen
This figure shows the co-authorship network connecting the top 25 collaborators of Vegard Engen. A scholar is included among the top collaborators of Vegard Engen 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 Vegard Engen. Vegard Engen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | A Semantic Risk Management Framework for Digital Audio-Visual Media Preservation | 1 |
| 7 | 0 | |
| 8 | 36 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 22 |
About Vegard Engen
Vegard Engen is a scholar working on Conservation, Computer Science Applications and Human-Computer Interaction, having authored 11 papers that have together received 127 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (2 papers), Imbalanced Data Classification Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (67 citations), Signal Processing (27 citations) and Artificial Intelligence (70 citations). Vegard Engen has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Jonathan Vincent, Keith Phalp, Stephen Phillips, Juri Papay, Marika Lüders, Taha Yasseri, Amanda C. Schierz, Asbjørn Følstad, Brian Pickering and Milena Tsvetkova. Their work appears in journals such as ACM Computing Surveys, Intelligent Data Analysis and International Journal of Knowledge-based and Intelligent Engineering Systems.
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.