Isak Karlsson
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Economics and Econometrics
- Management Science and Operations Research top 10%
- Information Systems
- Co-authors
- Panagiotis PapapetrouHenrik BoströmStojan DenicAristides GionisLars AskerJing ZhaoDimitrios GunopulosVassilis Athitsos
- Topics
- Time Series Analysis and Forecasting (7 papers)Machine Learning in Healthcare (6 papers)Pharmacovigilance and Adverse Drug Reactions (5 papers)
In The Last Decade
Isak Karlsson
17 papers receiving 266 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 159
- Signal Processing 134
- Economics and Econometrics 55
- Management Science and Operations Research 48
- Information Systems 40
Countries citing papers authored by Isak Karlsson
This map shows the geographic impact of Isak Karlsson'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 Isak Karlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isak Karlsson more than expected).
Fields of papers citing papers by Isak Karlsson
This network shows the impact of papers produced by Isak Karlsson. 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 Isak Karlsson. The network helps show where Isak Karlsson may publish in the future.
Co-authorship network of co-authors of Isak Karlsson
This figure shows the co-authorship network connecting the top 25 collaborators of Isak Karlsson. A scholar is included among the top collaborators of Isak Karlsson 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 Isak Karlsson. Isak Karlsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 30 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | Seq2Seq RNNs and ARIMA models for Cryptocurrency Prediction : A Comparative Study | 35 |
| 6 | 15 | |
| 7 | Learning from Administrative Health Registries | 1 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 105 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | Applying Methods for Signal Detection in Spontaneous Reports to Electronic Patient Records | 4 |
About Isak Karlsson
Isak Karlsson is a scholar working on Toxicology, Signal Processing and Artificial Intelligence, having authored 17 papers that have together received 271 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (7 papers), Machine Learning in Healthcare (6 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). The work is most often cited by research in Signal Processing (134 citations), Toxicology (35 citations) and Health Informatics (7 citations). Isak Karlsson has collaborated with scholars based in Sweden, Germany and Finland. Frequent co-authors include Panagiotis Papapetrou, Henrik Boström, Stojan Denic, Aristides Gionis, Lars Asker, Jing Zhao, Dimitrios Gunopulos, Jing Zhao, Vassilis Athitsos and Hans Persson. Their work appears in journals such as Data Mining and Knowledge Discovery, BMC Medical Informatics and Decision Making and The VLDB Journal.
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.