Patrick Flick
Impact in
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- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Plant Gene Expression Analysis
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
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- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
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- Algorithms and Data Compression 6
- Co-authors
- Brent S. Pedersen (2 shared papers)Haibao Tang (2 shared papers)Chris Mungall (2 shared papers)Fidel Ramírez (2 shared papers)Jeffrey M. Yunes (1 shared paper)Aurélien Naldi (1 shared paper)Olga Botvinnik (1 shared paper)Liangsheng Zhang (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Parallel Computing (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Scientific Reports (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Patrick Flick
13 papers receiving 879 citations
Patrick Flick's Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 440
- Plant Science 215
- Aging 9
- Computational Mathematics 3
- Aquatic Science 31
Countries citing papers authored by Patrick Flick
This map shows the geographic impact of Patrick Flick'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 Patrick Flick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Flick more than expected).
Fields of papers citing papers by Patrick Flick
This network shows the impact of papers produced by Patrick Flick. 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 Patrick Flick. The network helps show where Patrick Flick may publish in the future.
Co-authors
The 23 scholars most cited alongside Patrick Flick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GOATOOLS: A Python library for Gene Ontology analyses Hit paper breakdown → | 2018 | 757 |
| 2 | 2015 | 46 | |
| 3 | 2017 | 17 | |
| 4 | 2015 | 16 | |
| 5 | 2017 | 15 | |
| 6 | 2015 | 11 | |
| 7 | 2016 | 8 | |
| 8 | 2019 | 3 | |
| 9 | 2017 | 3 | |
| 10 | 2013 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2017 | 2 | |
| 13 | An Adaptive Parallel Algorithm for Computing Connectivity. | 2016 | 1 |
About Patrick Flick
Patrick Flick is a scholar working on Molecular Biology, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 885 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (2 papers), Network Packet Processing and Optimization (2 papers), Bioinformatics and Genomic Networks (2 papers), Parallel Computing and Optimization Techniques (2 papers), Graph Theory and Algorithms (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Molecular Biology (440 citations), Plant Science (215 citations), Aging (9 citations), Computational Mathematics (3 citations) and Aquatic Science (31 citations). Patrick Flick has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Brent S. Pedersen, Haibao Tang, Chris Mungall, Fidel Ramírez, Jeffrey M. Yunes, Aurélien Naldi, Olga Botvinnik, Liangsheng Zhang, Will Dampier and Alex Warwick Vesztrocy. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Parallel Computing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Scientific Reports and arXiv (Cornell University).
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.