Andreas Hellander
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Gene Regulatory Network Analysis 33
- Single-cell and spatial transcriptomics 5
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- Distributed and Parallel Computing Systems 6
- Co-authors
- Linda Petzold (16 shared papers)Per Lötstedt (11 shared papers)Daniel T. Gillespie (2 shared papers)Brian Drawert (9 shared papers)Stefan Hellander (7 shared papers)Stefan Engblom (3 shared papers)Salman Toor (18 shared papers)Ola Spjuth (8 shared papers)
- Journals
- Bioinformatics (4 papers)The Journal of Chemical Physics (4 papers)Journal of Computational Physics (3 papers)PLoS Computational Biology (3 papers)Bulletin of Mathematical Biology (3 papers)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Andreas Hellander
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 143
- Biophysics 99
- Molecular Biology 695
- Statistical and Nonlinear Physics 107
- Computational Mathematics 5
Countries citing papers authored by Andreas Hellander
This map shows the geographic impact of Andreas Hellander'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 Andreas Hellander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hellander more than expected).
Fields of papers citing papers by Andreas Hellander
This network shows the impact of papers produced by Andreas Hellander. 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 Andreas Hellander. The network helps show where Andreas Hellander may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Hellander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 241 | |
| 2 | 2012 | 95 | |
| 3 | 2007 | 60 | |
| 4 | 2013 | 55 | |
| 5 | 2012 | 47 | |
| 6 | 2009 | 47 | |
| 7 | 2016 | 42 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 36 | |
| 10 | 2007 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2012 | 32 | |
| 13 | 2022 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2013 | 23 | |
| 16 | 2008 | 21 | |
| 17 | 2016 | 19 | |
| 18 | 2017 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2022 | 16 |
About Andreas Hellander
Andreas Hellander is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems, Artificial Intelligence and Information Systems and Management, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Scientific Computing and Data Management (8 papers), Mathematical Biology Tumor Growth (8 papers), Evolution and Genetic Dynamics (7 papers), Cloud Computing and Resource Management (7 papers), Probabilistic and Robust Engineering Design (7 papers), Distributed and Parallel Computing Systems (6 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Modeling and Simulation (143 citations), Biophysics (99 citations), Molecular Biology (695 citations), Statistical and Nonlinear Physics (107 citations) and Computational Mathematics (5 citations). Andreas Hellander has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Linda Petzold, Per Lötstedt, Daniel T. Gillespie, Brian Drawert, Stefan Hellander, Stefan Engblom, Salman Toor, Ola Spjuth, Marc Sturrock and Mark A. J. Chaplain. Their work appears in journals such as Bioinformatics, The Journal of Chemical Physics, Journal of Computational Physics, PLoS Computational Biology and Bulletin of Mathematical Biology.
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.