Mark A. Moraes
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Cancer therapeutics and mechanisms
- RNA and protein synthesis mechanisms
Papers in
-
- Advanced Data Storage Technologies 5
- Distributed and Parallel Computing Systems 3
- Interconnection Networks and Systems 1
-
- Parallel Computing and Optimization Techniques 5
- Co-authors
- John K. Salmon (6 shared papers)Ron O. Dror (6 shared papers)David E. Shaw (6 shared papers)Federico D. Sacerdoti (2 shared papers)Michael P. Eastwood (2 shared papers)John L. Klepeis (2 shared papers)Huafeng Xu (2 shared papers)K. J. Bowers (2 shared papers)
- Journals
- IEEE Micro (1 paper)infoteca-e (Brazilian Agricultural Research Corporation) (1 paper)
- Partner nations
- United States
In The Last Decade
Mark A. Moraes
6 papers receiving 3.2k citations
Mark A. Moraes's Hit Papers
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 827
- Molecular Biology 1.8k
- Toxicology 68
- Organic Chemistry 552
- Pharmacology 154
Countries citing papers authored by Mark A. Moraes
This map shows the geographic impact of Mark A. Moraes'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 Mark A. Moraes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Moraes more than expected).
Fields of papers citing papers by Mark A. Moraes
This network shows the impact of papers produced by Mark A. Moraes. 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 Mark A. Moraes. The network helps show where Mark A. Moraes may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Moraes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Molecular dynamics---Scalable algorithms for molecular dynamics simulations on commodity clusters Hit paper breakdown → | 2006 | 1925 |
| 2 | Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters Hit paper breakdown → | 2006 | 1182 |
| 3 | 2011 | 128 | |
| 4 | 2010 | 21 | |
| 5 | 2013 | 10 | |
| 6 | 2011 | 5 | |
| 7 | Panorama da oferta de software para o agronegócio: empresas e produtos. | 2011 | 0 |
About Mark A. Moraes
Mark A. Moraes is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 7 papers that have together received 3.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (3 papers), Quantum Computing Algorithms and Architecture (1 paper), Interconnection Networks and Systems (1 paper), Numerical Methods and Algorithms (1 paper), Rural Development and Agriculture (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computational Theory and Mathematics (827 citations), Molecular Biology (1.8k citations), Toxicology (68 citations), Organic Chemistry (552 citations) and Pharmacology (154 citations). Mark A. Moraes has collaborated with scholars based in United States. Frequent co-authors include John K. Salmon, Ron O. Dror, David E. Shaw, Federico D. Sacerdoti, Michael P. Eastwood, John L. Klepeis, Huafeng Xu, K. J. Bowers, István Kolossváry and Brent A. Gregersen. Their work appears in journals such as IEEE Micro and infoteca-e (Brazilian Agricultural Research Corporation).
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.