Fredrik Svensson
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Materials Chemistry
- Immunology
- Co-authors
- Ulf NorinderAndreas BenderChristian SköldDavid BaileyDániel MucsJin ZhangEdward D. ZandersAnders Karlén
- Topics
- Computational Drug Discovery Methods (24 papers)Machine Learning in Materials Science (8 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsScientific Reports
- Partner nations
- United KingdomSwedenGermany
In The Last Decade
Fredrik Svensson
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 517
- Computational Theory and Mathematics 491
- Organic Chemistry 224
- Materials Chemistry 171
- Immunology 125
Countries citing papers authored by Fredrik Svensson
This map shows the geographic impact of Fredrik Svensson'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 Fredrik Svensson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredrik Svensson more than expected).
Fields of papers citing papers by Fredrik Svensson
This network shows the impact of papers produced by Fredrik Svensson. 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 Fredrik Svensson. The network helps show where Fredrik Svensson may publish in the future.
Co-authorship network of co-authors of Fredrik Svensson
This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Svensson. A scholar is included among the top collaborators of Fredrik Svensson 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 Fredrik Svensson. Fredrik Svensson 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 | 12 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 47 | |
| 7 | 44 | |
| 8 | 12 | |
| 9 | 36 | |
| 10 | 8 | |
| 11 | 174 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | 43 | |
| 16 | 15 | |
| 17 | 23 | |
| 18 | 32 | |
| 19 | 107 | |
| 20 | Global Positioning System Software Receiver (gpSrx) Implementation in Low Cost/Power Programmable Processors | 15 |
About Fredrik Svensson
Fredrik Svensson is a scholar working on Computational Theory and Mathematics, Issues, ethics and legal aspects and Research and Theory, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Machine Learning in Materials Science (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Computational Theory and Mathematics (491 citations), Organic Chemistry (224 citations) and Molecular Biology (517 citations). Fredrik Svensson has collaborated with scholars based in United Kingdom, Sweden and Germany. Frequent co-authors include Ulf Norinder, Andreas Bender, Christian Sköld, David Bailey, Dániel Mucs, Jin Zhang, Edward D. Zanders, Anders Karlén, Mats Larhed and Magda Bictash. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.
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.