Federico D. Sacerdoti
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Oncology top 10%
- Infectious Diseases top 5%
- Co-authors
- Ron O. DrorDavid E. ShawK. J. BowersYibing ShanJohn L. KlepeisHuafeng XuIstván KolossváryMichael P. Eastwood
- Topics
- Advanced Data Storage Technologies (5 papers)Distributed and Parallel Computing Systems (4 papers)Parallel Computing and Optimization Techniques (4 papers)
- Journals
- Future Generation Computer SystemsFile and Storage Technologies
- Partner nations
- United StatesSwitzerland
In The Last Decade
Federico D. Sacerdoti
8 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.8k
- Computational Theory and Mathematics 824
- Organic Chemistry 572
- Oncology 304
- Infectious Diseases 300
Countries citing papers authored by Federico D. Sacerdoti
This map shows the geographic impact of Federico D. Sacerdoti'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 Federico D. Sacerdoti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico D. Sacerdoti more than expected).
Fields of papers citing papers by Federico D. Sacerdoti
This network shows the impact of papers produced by Federico D. Sacerdoti. 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 Federico D. Sacerdoti. The network helps show where Federico D. Sacerdoti may publish in the future.
Co-authorship network of co-authors of Federico D. Sacerdoti
This figure shows the co-authorship network connecting the top 25 collaborators of Federico D. Sacerdoti. A scholar is included among the top collaborators of Federico D. Sacerdoti 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 Federico D. Sacerdoti. Federico D. Sacerdoti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | Desmond Performance on a Cluster of Multicore Processors | 96 |
| 3 | Molecular dynamics---Scalable algorithms for molecular dynamics simulations on commodity clustersbreakdown → | 1925 |
| 4 | Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clustersbreakdown → | 1182 |
| 5 | 11 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 10 |
About Federico D. Sacerdoti
Federico D. Sacerdoti is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 8 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (824 citations), Molecular Biology (1.8k citations) and Toxicology (72 citations). Federico D. Sacerdoti has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ron O. Dror, David E. Shaw, K. J. Bowers, Yibing Shan, John L. Klepeis, Huafeng Xu, István Kolossváry, Michael P. Eastwood, John K. Salmon and Brent A. Gregersen. Their work appears in journals such as Future Generation Computer Systems and File and Storage Technologies.
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.