Håvard Espeland
- Computer Vision and Pattern Recognition
- Oncology
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Signal Processing
- Co-authors
- Pål HalvorsenCarsten GriwodzMichael A. RieglerKonstantin PogorelovThomas de LangeHåkon Kvale StenslandDag JohansenAndreas Petlund
- Topics
- Image and Video Quality Assessment (5 papers)Video Coding and Compression Technologies (4 papers)Peer-to-Peer Network Technologies (3 papers)
- Journals
- The Journal of SupercomputingInternational Journal of Semantic ComputingDuo Research Archive (University of Oslo)
In The Last Decade
Håvard Espeland
15 papers receiving 131 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 58
- Oncology 36
- Artificial Intelligence 35
- Radiology, Nuclear Medicine and Imaging 32
- Signal Processing 30
Countries citing papers authored by Håvard Espeland
This map shows the geographic impact of Håvard Espeland'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 Håvard Espeland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Håvard Espeland more than expected).
Fields of papers citing papers by Håvard Espeland
This network shows the impact of papers produced by Håvard Espeland. 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 Håvard Espeland. The network helps show where Håvard Espeland may publish in the future.
Co-authorship network of co-authors of Håvard Espeland
This figure shows the co-authorship network connecting the top 25 collaborators of Håvard Espeland. A scholar is included among the top collaborators of Håvard Espeland 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 Håvard Espeland. Håvard Espeland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 41 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 1 |
About Håvard Espeland
Håvard Espeland is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 16 papers that have together received 133 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (58 citations), Signal Processing (30 citations) and Gastroenterology (12 citations). Håvard Espeland has collaborated with scholars based in Norway, Sweden and China. Frequent co-authors include Pål Halvorsen, Carsten Griwodz, Michael A. Riegler, Konstantin Pogorelov, Thomas de Lange, Håkon Kvale Stensland, Dag Johansen, Andreas Petlund, Tomáš Kupka and Pia H. Smedsrud. Their work appears in journals such as The Journal of Supercomputing, International Journal of Semantic Computing and Duo Research Archive (University of Oslo).
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.