Omar Demerdash
Impact in
- Catalysis top 10%
- Ionic liquids properties and applications
- Filtration and Separation top 10%
Papers in
-
- Protein Structure and Dynamics 8
- vaccines and immunoinformatics approaches 4
-
- Machine Learning in Materials Science 7
- Enzyme Structure and Function 4
- Co-authors
- Teresa Head‐Gordon (8 shared papers)Julie C. Mitchell (10 shared papers)Yuezhi Mao (3 shared papers)Martin Head‐Gordon (3 shared papers)Jeremy C. Smith (9 shared papers)Ronald E. Kalil (1 shared paper)Michelle K. Kidder (5 shared papers)Mood Mohan (5 shared papers)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Proteins Structure Function and Bioinformatics (4 papers)The Journal of Chemical Physics (3 papers)Nature Communications (2 papers)Annual Review of Physical Chemistry (2 papers)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Omar Demerdash
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Catalysis 126
- Filtration and Separation 24
- Developmental Neuroscience 42
- Physical and Theoretical Chemistry 98
- Computational Theory and Mathematics 160
Countries citing papers authored by Omar Demerdash
This map shows the geographic impact of Omar Demerdash'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 Omar Demerdash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Demerdash more than expected).
Fields of papers citing papers by Omar Demerdash
This network shows the impact of papers produced by Omar Demerdash. 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 Omar Demerdash. The network helps show where Omar Demerdash may publish in the future.
Co-authors
The 25 scholars most cited alongside Omar Demerdash, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 174 | |
| 2 | 2011 | 119 | |
| 3 | 2021 | 98 | |
| 4 | 2016 | 80 | |
| 5 | 2009 | 58 | |
| 6 | 2013 | 57 | |
| 7 | 2023 | 56 | |
| 8 | 2017 | 49 | |
| 9 | 2015 | 46 | |
| 10 | 2024 | 42 | |
| 11 | 2017 | 37 | |
| 12 | 2018 | 36 | |
| 13 | 2023 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2024 | 24 | |
| 16 | 2016 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2023 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2012 | 14 |
About Omar Demerdash
Omar Demerdash is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Catalysis, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Advanced Chemical Physics Studies (7 papers), Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Ionic liquids properties and applications (5 papers), Enzyme Structure and Function (4 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Catalysis (126 citations), Filtration and Separation (24 citations), Developmental Neuroscience (42 citations), Physical and Theoretical Chemistry (98 citations) and Computational Theory and Mathematics (160 citations). Omar Demerdash has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Teresa Head‐Gordon, Julie C. Mitchell, Yuezhi Mao, Martin Head‐Gordon, Jeremy C. Smith, Ronald E. Kalil, Michelle K. Kidder, Mood Mohan, Akshaya Kumar Das and Michael D. Daily. Their work appears in journals such as Journal of Chemical Theory and Computation, Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics, Nature Communications and Annual Review of Physical Chemistry.
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.