Fredrik Svensson

2.1k total citations
55 papers, 1.3k citations indexed

About

Fredrik Svensson is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Fredrik Svensson has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 24 papers in Molecular Biology and 10 papers in Organic Chemistry. Recurrent topics in Fredrik Svensson's work include Computational Drug Discovery Methods (24 papers), Machine Learning in Materials Science (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). Fredrik Svensson is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Machine Learning in Materials Science (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). Fredrik Svensson collaborates with scholars based in United Kingdom, Sweden and Germany. Fredrik Svensson's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Fredrik Svensson

52 papers receiving 1.3k citations

Peers

Fredrik Svensson
Comparison fields: 5 of 152
  • Molecular Biology 517
  • Computational Theory and Mathematics 491
  • Organic Chemistry 224
  • Materials Chemistry 171
  • Immunology 125
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Citations per field, relative to Fredrik Svensson
Fredrik Svensson · 1×
Citations per year, relative to Fredrik Svensson
Fredrik Svensson · 1×

Countries citing papers authored by Fredrik Svensson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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