Tim Andersen
Impact in
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- Computational Drug Discovery Methods
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- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Receptor Mechanisms and Signaling
- DNA and Biological Computing
- Nicotinic Acetylcholine Receptors Study
Papers in
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- Advanced biosensing and bioanalysis techniques 5
- DNA and Biological Computing 4
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- Neural Networks and Applications 8
- Co-authors
- Owen M. McDougal (11 shared papers)Reed B. Jacob (4 shared papers)Greg Hampikian (3 shared papers)Tony Martinez (8 shared papers)Richard Newman (2 shared papers)Elisa H. Barney Smith (3 shared papers)William L. Hughes (5 shared papers)Wei Zhang (2 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Foods (2 papers)Journal of Computational Chemistry (2 papers)Journal of Chemical Information and Modeling (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Tim Andersen
44 papers receiving 483 citations
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 111
- Molecular Biology 290
- Artificial Intelligence 90
- Aging 4
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Tim Andersen
This map shows the geographic impact of Tim Andersen'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 Tim Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Andersen more than expected).
Fields of papers citing papers by Tim Andersen
This network shows the impact of papers produced by Tim Andersen. 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 Tim Andersen. The network helps show where Tim Andersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Andersen, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2006 | 53 | |
| 3 | 2021 | 48 | |
| 4 | 2003 | 41 | |
| 5 | 2009 | 30 | |
| 6 | 2013 | 26 | |
| 7 | 2010 | 19 | |
| 8 | 1985 | 18 | |
| 9 | 2011 | 17 | |
| 10 | 2013 | 17 | |
| 11 | 2015 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2011 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2005 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2005 | 7 | |
| 20 | 2024 | 6 |
About Tim Andersen
Tim Andersen is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Biophysics, having authored 48 papers that have together received 519 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Neural Networks and Applications (8 papers), Image Retrieval and Classification Techniques (6 papers), Handwritten Text Recognition Techniques (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Biological Computing (4 papers), Image Processing and 3D Reconstruction (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computational Theory and Mathematics (111 citations), Molecular Biology (290 citations), Artificial Intelligence (90 citations), Aging (4 citations) and Computer Vision and Pattern Recognition (45 citations). Tim Andersen has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Owen M. McDougal, Reed B. Jacob, Greg Hampikian, Tony Martinez, Richard Newman, Elisa H. Barney Smith, William L. Hughes, Wei Zhang, Matthew D. King and Reza M. Zadegan. Their work appears in journals such as BMC Bioinformatics, Foods, Journal of Computational Chemistry, Journal of Chemical Information and Modeling and Nature Communications.
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.