Mustafa Khammash
- Molecular Biology top 1%
- Control and Systems Engineering top 0.5%
- Genetics top 2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Brian MunskyGabriele LillacciAnkit GuptaHana El‐SamadCorentin BriatVijay VittalJ.B. PearsonArmin Baumschlager
- Topics
- Gene Regulatory Network Analysis (116 papers)Microbial Metabolic Engineering and Bioproduction (39 papers)Stability and Control of Uncertain Systems (28 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Mustafa Khammash
207 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 4.3k
- Control and Systems Engineering 1.2k
- Genetics 964
- Biomedical Engineering 628
- Electrical and Electronic Engineering 599
Countries citing papers authored by Mustafa Khammash
This map shows the geographic impact of Mustafa Khammash'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 Mustafa Khammash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustafa Khammash more than expected).
Fields of papers citing papers by Mustafa Khammash
This network shows the impact of papers produced by Mustafa Khammash. 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 Mustafa Khammash. The network helps show where Mustafa Khammash may publish in the future.
Co-authorship network of co-authors of Mustafa Khammash
This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Khammash. A scholar is included among the top collaborators of Mustafa Khammash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mustafa Khammash. Mustafa Khammash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 26 | |
| 9 | 43 | |
| 10 | 101 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 72 | |
| 14 | 44 | |
| 15 | 79 | |
| 16 | 44 | |
| 17 | 16 | |
| 18 | Listening to the Noise: Random Fluctuations Reveal Gene Network Parameters | 2 |
| 19 | 141 | |
| 20 | Solution of MIMO H2/ℓ1 problem without zero interpolation | 2 |
About Mustafa Khammash
Mustafa Khammash is a scholar working on Computational Mathematics, Biophysics and Control and Systems Engineering, having authored 216 papers that have together received 6.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (116 papers), Microbial Metabolic Engineering and Bioproduction (39 papers) and Stability and Control of Uncertain Systems (28 papers). The work is most often cited by research in Computational Mathematics (60 citations), Biophysics (506 citations) and Molecular Biology (4.3k citations). Mustafa Khammash has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Brian Munsky, Gabriele Lillacci, Ankit Gupta, Hana El‐Samad, Corentin Briat, Vijay Vittal, J.B. Pearson, Armin Baumschlager, Stephanie K. Aoki and Andreas Milias‐Argeitis. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.