Ibrahim Farag
Impact in
- Environmental Chemistry top 5%
- Methane Hydrates and Related Phenomena
- Ecology top 5%
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 15
- Machine Learning in Bioinformatics 6
- Gene expression and cancer classification 4
- DNA and Biological Computing 4
- Ecology 16
- Microbial Community Ecology and Physiology 16
- Co-authors
- Noha H. Youssef (8 shared papers)Mostafa S. Elshahed (8 shared papers)Mohammad Nassef (8 shared papers)Amr Badr (13 shared papers)Jillian F. Banfield (3 shared papers)Christine He (3 shared papers)Tanja Woyke (2 shared papers)Christian Rinke (2 shared papers)
- Journals
- Applied and Environmental Microbiology (7 papers)The ISME Journal (4 papers)mBio (2 papers)PLoS ONE (2 papers)IEEE Access (2 papers)
- Partner nations
- EgyptUnited StatesFrance
In The Last Decade
Ibrahim Farag
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Environmental Chemistry 214
- Ecology 514
- Pollution 117
- Molecular Biology 500
- Artificial Intelligence 169
Countries citing papers authored by Ibrahim Farag
This map shows the geographic impact of Ibrahim Farag'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 Ibrahim Farag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Farag more than expected).
Fields of papers citing papers by Ibrahim Farag
This network shows the impact of papers produced by Ibrahim Farag. 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 Ibrahim Farag. The network helps show where Ibrahim Farag may publish in the future.
Co-authors
The 25 scholars most cited alongside Ibrahim Farag, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 169 | |
| 2 | 2021 | 150 | |
| 3 | 2017 | 100 | |
| 4 | 2015 | 98 | |
| 5 | 2014 | 82 | |
| 6 | 2020 | 79 | |
| 7 | 2019 | 69 | |
| 8 | 2014 | 67 | |
| 9 | 2020 | 43 | |
| 10 | 2019 | 38 | |
| 11 | 2021 | 30 | |
| 12 | 2016 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2022 | 27 | |
| 15 | 2019 | 24 | |
| 16 | 2020 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2024 | 11 |
About Ibrahim Farag
Ibrahim Farag is a scholar working on Molecular Biology, Ecology, Artificial Intelligence, Environmental Chemistry and Computer Networks and Communications, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (16 papers), Genomics and Phylogenetic Studies (15 papers), Methane Hydrates and Related Phenomena (8 papers), Machine Learning in Bioinformatics (6 papers), Neural Networks and Applications (4 papers), Gene expression and cancer classification (4 papers), DNA and Biological Computing (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Environmental Chemistry (214 citations), Ecology (514 citations), Pollution (117 citations), Molecular Biology (500 citations) and Artificial Intelligence (169 citations). Ibrahim Farag has collaborated with scholars based in Egypt, United States and France. Frequent co-authors include Noha H. Youssef, Mostafa S. Elshahed, Mohammad Nassef, Amr Badr, Jillian F. Banfield, Christine He, Tanja Woyke, Christian Rinke, Jennifer F. Biddle and Ray Keren. Their work appears in journals such as Applied and Environmental Microbiology, The ISME Journal, mBio, PLoS ONE and IEEE Access.
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.