Patrick Flick
Impact in
-
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Plant Gene Expression Analysis
Papers in
-
- Network Packet Processing and Optimization 2
- Parallel Computing and Optimization Techniques 2
-
- Algorithms and Data Compression 6
- Co-authors
- Fidel Ramírez (1 shared paper)Alex Warwick Vesztrocy (1 shared paper)Aurélien Naldi (1 shared paper)Jeffrey M. Yunes (1 shared paper)Haibao Tang (1 shared paper)Olga Borisovna Botvinnik (1 shared paper)Christophe Dessimoz (1 shared paper)Will Dampier (1 shared paper)
- Journals
- IEEE Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Parallel Computing (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Patrick Flick
12 papers receiving 921 citations
Patrick Flick's Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 462
- Computational Mathematics 4
- Plant Science 216
- Aging 10
- Endocrinology 21
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 22 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 | 830 |
| 2 | 2017 | 22 | |
| 3 | 2015 | 20 | |
| 4 | 2017 | 17 | |
| 5 | 2015 | 10 | |
| 6 | 2016 | 8 | |
| 7 | 2017 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 2013 | 3 | |
| 12 | Analysis of human tissue-specific protein-protein interaction networks | 2014 | 1 |
About Patrick Flick
Patrick Flick is a scholar working on Hardware and Architecture, Artificial Intelligence, Molecular Biology, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 926 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (6 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), Network Packet Processing and Optimization (2 papers), Parallel Computing and Optimization Techniques (2 papers), DNA and Biological Computing (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Molecular Biology (462 citations), Computational Mathematics (4 citations), Plant Science (216 citations), Aging (10 citations) and Endocrinology (21 citations). Patrick Flick has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Fidel Ramírez, Alex Warwick Vesztrocy, Aurélien Naldi, Jeffrey M. Yunes, Haibao Tang, Olga Borisovna Botvinnik, Christophe Dessimoz, Will Dampier, Chris Mungall and Brent S. Pedersen. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Parallel and Distributed Systems, Parallel Computing and Scientific Reports.
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.