Djamal Bouzida
- Molecular Biology top 1%
- Materials Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 2%
- Biomedical Engineering top 5%
- Spectroscopy top 1%
- Co-authors
- S. Madan KumarRobert H. SwendsenPeter A. KollmanJohn M. RosenbergDaniel K. GehlhaarPaul A. RejtoGennady M. VerkhivkerPeter W. Rose
- Topics
- Protein Structure and Dynamics (17 papers)Enzyme Structure and Function (12 papers)Computational Drug Discovery Methods (5 papers)
- Cited by
- Molecular BiologyAtomic and Molecular Physics, and OpticsPhysical and Theoretical Chemistry
- Partner nations
- United StatesFranceMorocco
In The Last Decade
Djamal Bouzida
24 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.8k
- Materials Chemistry 1.8k
- Atomic and Molecular Physics, and Optics 1.5k
- Biomedical Engineering 750
- Spectroscopy 700
Countries citing papers authored by Djamal Bouzida
This map shows the geographic impact of Djamal Bouzida'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 Djamal Bouzida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djamal Bouzida more than expected).
Fields of papers citing papers by Djamal Bouzida
This network shows the impact of papers produced by Djamal Bouzida. 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 Djamal Bouzida. The network helps show where Djamal Bouzida may publish in the future.
Co-authorship network of co-authors of Djamal Bouzida
This figure shows the co-authorship network connecting the top 25 collaborators of Djamal Bouzida. A scholar is included among the top collaborators of Djamal Bouzida 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 Djamal Bouzida. Djamal Bouzida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 95 | |
| 4 | 22 | |
| 5 | 81 | |
| 6 | 80 | |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 49 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 186 | |
| 13 | 31 | |
| 14 | 12 | |
| 15 | 6 | |
| 16 | Multidimensional free‐energy calculations using the weighted histogram analysis methodbreakdown → | 712 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | THE weighted histogram analysis method for free‐energy calculations on biomolecules. I. The methodbreakdown → | 5569 |
| 20 | 86 |
About Djamal Bouzida
Djamal Bouzida is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, having authored 24 papers that have together received 7.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Atomic and Molecular Physics, and Optics (1.5k citations) and Physical and Theoretical Chemistry (416 citations). Djamal Bouzida has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include S. Madan Kumar, Robert H. Swendsen, Peter A. Kollman, John M. Rosenberg, Daniel K. Gehlhaar, Paul A. Rejto, Gennady M. Verkhivker, Peter W. Rose, Stephan T. Freer and Anthony B. Colson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry and Journal of Medicinal 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.