Georges Hattab
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 6
- DNA and Biological Computing 4
- Advanced biosensing and bioanalysis techniques 3
- Machine Learning in Bioinformatics 3
- Co-authors
- Dominik Heider (16 shared papers)Anne-Christin Hauschild (3 shared papers)Marius Welzel (3 shared papers)Dror E. Warschawski (2 shared papers)Karine Moncoq (2 shared papers)Bruno Miroux (2 shared papers)Hannah F. Löchel (2 shared papers)Anke Becker (4 shared papers)
- Journals
- Scientific Reports (5 papers)Computational and Structural Biotechnology Journal (5 papers)NAR Genomics and Bioinformatics (3 papers)iScience (2 papers)Bioinformatics (2 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Georges Hattab
35 papers receiving 278 citations
Peers
Comparison fields: 5 of 107
- Human-Computer Interaction 15
- Biophysics 14
- Acoustics and Ultrasonics 2
- Health Informatics 3
- Molecular Biology 153
Countries citing papers authored by Georges Hattab
This map shows the geographic impact of Georges Hattab'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 Georges Hattab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georges Hattab more than expected).
Fields of papers citing papers by Georges Hattab
This network shows the impact of papers produced by Georges Hattab. 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 Georges Hattab. The network helps show where Georges Hattab may publish in the future.
Co-authors
The 25 scholars most cited alongside Georges Hattab, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 32 | |
| 2 | 2021 | 29 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 22 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Georges Hattab
Georges Hattab is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Ecology and Computational Theory and Mathematics, having authored 40 papers that have together received 286 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (6 papers), DNA and Biological Computing (4 papers), Cell Image Analysis Techniques (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Human-Computer Interaction (15 citations), Biophysics (14 citations), Acoustics and Ultrasonics (2 citations), Health Informatics (3 citations) and Molecular Biology (153 citations). Georges Hattab has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Dominik Heider, Anne-Christin Hauschild, Marius Welzel, Dror E. Warschawski, Karine Moncoq, Bruno Miroux, Hannah F. Löchel, Anke Becker, Roman Martin and Stefanie Speidel. Their work appears in journals such as Scientific Reports, Computational and Structural Biotechnology Journal, NAR Genomics and Bioinformatics, iScience and Bioinformatics.
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.