Pål Halvorsen
About
In The Last Decade
Pål Halvorsen
295 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 1.3k
- Computer Networks and Communications 1.0k
- Radiology, Nuclear Medicine and Imaging 999
- Oncology 902
Countries citing papers authored by Pål Halvorsen
This map shows the geographic impact of Pål Halvorsen'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 Pål Halvorsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pål Halvorsen more than expected).
Fields of papers citing papers by Pål Halvorsen
This network shows the impact of papers produced by Pål Halvorsen. 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 Pål Halvorsen. The network helps show where Pål Halvorsen may publish in the future.
Co-authorship network of co-authors of Pål Halvorsen
This figure shows the co-authorship network connecting the top 25 collaborators of Pål Halvorsen. A scholar is included among the top collaborators of Pål Halvorsen 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 Pål Halvorsen. Pål Halvorsen 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 64 | |
| 10 | Medico Multimedia Task at MediaEval 2019. | 5 |
| 11 | Using Deep Learning to Predict Motility and Morphology of Human Sperm. | 1 |
| 12 | The 2018 Medico Multimedia Task Submission of Team NOAT Using Neural Network Features and Search-based Classification. | 1 |
| 13 | Medico multimedia task at MediaEval 2018 | 3 |
| 14 | Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. | 9 |
| 15 | CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. | 27 |
| 16 | Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation | 1 |
| 17 | Work Like a Bee - Taking Advantage of Diligent Crowdsourcing Workers. | 2 |
| 18 | Demo: Bagadus an integrated system for soccer analysis | 0 |
| 19 | 3 | |
| 20 | Assessment of Data Path Implementations for Download and Streaming. | 2 |
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.