Patrick Flick
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- Genomics and Phylogenetic Studies 6
- DNA and Biological Computing 2
- Bioinformatics and Genomic Networks 2
- Plant Science top 10%
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- Algorithms and Data Compression 6
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- Graph Theory and Algorithms 2
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- Parallel Computing and Optimization Techniques 2
- Network Packet Processing and Optimization 2
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- Caching and Content Delivery 2
- Co-authors
- Brent S. PedersenHaibao TangChris MungallFidel RamírezLiangsheng ZhangAlex Warwick VesztrocyOlga BotvinnikWill Dampier
- Cited by
- Molecular BiologyPlant ScienceAging
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Scientific Reports (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Patrick Flick
13 papers receiving 841 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 488
- Plant Science 226
- Aging 9
- Computational Mathematics 3
- Endocrinology 24
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-authorship network
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 | 2021 | 3 | |
| 2 | 2019 | 3 | |
| 3 | GOATOOLS: A Python library for Gene Ontology analysesbreakdown → | 2018 | 724 |
| 4 | 2017 | 15 | |
| 5 | 2017 | 17 | |
| 6 | 2017 | 3 | |
| 7 | 2017 | 2 | |
| 8 | An Adaptive Parallel Algorithm for Computing Connectivity. | 2016 | 1 |
| 9 | 2016 | 8 | |
| 10 | 2015 | 15 | |
| 11 | 2015 | 43 | |
| 12 | 2015 | 11 | |
| 13 | 2013 | 3 |
About Patrick Flick
Patrick Flick is a scholar working on Computational Mathematics, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 13 papers that have together received 848 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (6 papers), Graph Theory and Algorithms (2 papers), Parallel Computing and Optimization Techniques (2 papers), DNA and Biological Computing (2 papers), Caching and Content Delivery (2 papers), Network Packet Processing and Optimization (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (488 citations), Plant Science (226 citations), Aging (9 citations), Computational Mathematics (3 citations) and Endocrinology (24 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, Liangsheng Zhang, Alex Warwick Vesztrocy, Olga Botvinnik, Will Dampier, Christophe Dessimoz and Jeffrey M. Yunes. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Scientific Reports, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Parallel Computing 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.