Marcus Olivecrona
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 10%
- Materials Chemistry top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Topics
- Machine Learning in Materials Science (3 papers)Computational Drug Discovery Methods (2 papers)Modular Robots and Swarm Intelligence (1 paper)
- Partner nations
- SwedenGermanyUnited Kingdom
In The Last Decade
Marcus Olivecrona
3 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 1.5k
- Molecular Biology 1.1k
- Materials Chemistry 980
- Artificial Intelligence 203
- Biomedical Engineering 164
Countries citing papers authored by Marcus Olivecrona
This map shows the geographic impact of Marcus Olivecrona'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 Marcus Olivecrona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Olivecrona more than expected).
Fields of papers citing papers by Marcus Olivecrona
This network shows the impact of papers produced by Marcus Olivecrona. 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 Marcus Olivecrona. The network helps show where Marcus Olivecrona may publish in the future.
Co-authorship network of co-authors of Marcus Olivecrona
This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Olivecrona. A scholar is included among the top collaborators of Marcus Olivecrona 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 Marcus Olivecrona. Marcus Olivecrona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The rise of deep learning in drug discoverybreakdown → | 1057 |
| 2 | 256 | |
| 3 | Molecular de-novo design through deep reinforcement learningbreakdown → | 781 |
About Marcus Olivecrona
Marcus Olivecrona is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Artificial Intelligence, having authored 3 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Health Informatics (48 citations) and Materials Chemistry (980 citations). Marcus Olivecrona has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Ola Engkvist, Hongming Chen, Thomas Blaschke, Yinhai Wang and Jürgen Bajorath. Their work appears in journals such as Drug Discovery Today, Journal of Cheminformatics and Molecular Informatics.
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.