Robert S. Germain

2.1k total citations
20 papers, 1.1k citations indexed

About

Robert S. Germain is a scholar working on Molecular Biology, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Robert S. Germain has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Computer Networks and Communications and 7 papers in Hardware and Architecture. Recurrent topics in Robert S. Germain's work include Protein Structure and Dynamics (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Enzyme Structure and Function (5 papers). Robert S. Germain is often cited by papers focused on Protein Structure and Dynamics (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Enzyme Structure and Function (5 papers). Robert S. Germain collaborates with scholars based in United States, United Kingdom and Canada. Robert S. Germain's co-authors include Ruhong Zhou, B. J. Berne, Andrea Califano, Maria Eleftheriou, Blake G. Fitch, T. J. Christopher Ward, Aleksandr Rayshubskiy, Frank Suits, Jed W. Pitera and William C. Swope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Physical Chemistry B.

In The Last Decade

Robert S. Germain

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert S. Germain United States 12 674 325 185 172 145 20 1.1k
Marco Ferretti Italy 12 382 0.6× 45 0.1× 559 3.0× 102 0.6× 94 0.6× 70 1.1k
Joseph A. Bank United States 7 1.2k 1.8× 490 1.5× 283 1.5× 18 0.1× 278 1.9× 10 1.7k
James Kempf United States 23 250 0.4× 398 1.2× 244 1.3× 19 0.1× 638 4.4× 118 1.7k
Daniel L. Ensign United States 12 822 1.2× 354 1.1× 225 1.2× 9 0.1× 198 1.4× 14 1.2k
J.P. Grossman United States 15 729 1.1× 219 0.7× 139 0.8× 7 0.0× 131 0.9× 42 1.4k
D. Wood Canada 17 172 0.3× 54 0.2× 36 0.2× 129 0.8× 37 0.3× 88 1000
Jiahao Chen China 16 204 0.3× 167 0.5× 263 1.4× 13 0.1× 70 0.5× 52 932
Moritz Hoffmann Switzerland 9 1.0k 1.5× 291 0.9× 69 0.4× 9 0.1× 113 0.8× 16 1.5k
Peter H. Sellers United States 15 649 1.0× 65 0.2× 23 0.1× 39 0.2× 31 0.2× 33 1.1k
Timo Stich Germany 8 362 0.5× 144 0.4× 121 0.7× 15 0.1× 67 0.5× 15 737

Countries citing papers authored by Robert S. Germain

Since Specialization
Citations

This map shows the geographic impact of Robert S. Germain'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 Robert S. Germain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Germain more than expected).

Fields of papers citing papers by Robert S. Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Germain. 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 Robert S. Germain. The network helps show where Robert S. Germain may publish in the future.

Co-authorship network of co-authors of Robert S. Germain

This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Germain. A scholar is included among the top collaborators of Robert S. Germain 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 Robert S. Germain. Robert S. Germain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fitch, Blake G., Aleksandr Rayshubskiy, Michael C. Pitman, T. J. Christopher Ward, & Robert S. Germain. (2009). Using the Active Storage Fabrics model to address petascale storage challenges. 47–54. 11 indexed citations
2.
Eleftheriou, Maria, Blake G. Fitch, Aleksandr Rayshubskiy, et al.. (2008). A study of the effects of machine geometry and mapping on distributed transpose performance. 79–86. 1 indexed citations
3.
Zhou, Ruhong, Maria Eleftheriou, Chung-Chau Hon, et al.. (2008). Massively parallel molecular dynamics simulations of lysozyme unfolding. IBM Journal of Research and Development. 52(1.2). 19–30. 15 indexed citations
4.
Fitch, Blake G., Aleksandr Rayshubskiy, Maria Eleftheriou, et al.. (2008). Blue Matter: Scaling of N-body simulations to one atom per node. IBM Journal of Research and Development. 52(1.2). 145–158s. 10 indexed citations
5.
Eleftheriou, Maria, et al.. (2006). Parallel implementation of the replica exchange molecular dynamics algorithm on Blue Gene/L. International Parallel and Distributed Processing Symposium. 254–254. 9 indexed citations
6.
Fitch, Blake G., Aleksandr Rayshubskiy, Maria Eleftheriou, et al.. (2006). Molecular dynamics---Blue matter. 87–87. 36 indexed citations
7.
Eleftheriou, Maria, et al.. (2006). Parallel implementation of the replica exchange molecular dynamics algorithm on Blue Gene/L. 8 pp.–8 pp.. 3 indexed citations
8.
Eleftheriou, Maria, Robert S. Germain, Ajay K. Royyuru, & Ruhong Zhou. (2006). Thermal Denaturing of Mutant Lysozyme with Both the OPLSAA and the CHARMM Force Fields. Journal of the American Chemical Society. 128(41). 13388–13395. 71 indexed citations
9.
Fitch, Blake G., Aleksandr Rayshubskiy, Maria Eleftheriou, et al.. (2006). Blue Matter: Approaching the Limits of Concurrency for Classical Molecular Dynamics. 44–44. 21 indexed citations
10.
Germain, Robert S., Maria Eleftheriou, Aleksandr Rayshubskiy, et al.. (2005). Early performance data on the Blue Matter molecular simulation framework. IBM Journal of Research and Development. 49(2.3). 447–455. 15 indexed citations
11.
Suits, Frank, Michael C. Pitman, Jed W. Pitera, William C. Swope, & Robert S. Germain. (2005). Overview of molecular dynamics techniques and early scientific results from the Blue Gene project. IBM Journal of Research and Development. 49(2.3). 475–487. 7 indexed citations
12.
Eleftheriou, Maria, Blake G. Fitch, Aleksandr Rayshubskiy, T. J. Christopher Ward, & Robert S. Germain. (2005). Scalable framework for 3D FFTs on the Blue Gene/L supercomputer: Implementation and early performance measurements. IBM Journal of Research and Development. 49(2.3). 457–464. 40 indexed citations
13.
Fitch, Blake G., Robert S. Germain, Fred G. Gustavson, et al.. (2005). Custom math functions for molecular dynamics. IBM Journal of Research and Development. 49(2.3). 465–474. 8 indexed citations
14.
Germain, Robert S., Blake G. Fitch, Aleksandr Rayshubskiy, et al.. (2005). Blue matter on blue gene/L. 207–212. 19 indexed citations
15.
Ebisuzaki, Toshikazu, Robert S. Germain, & Makoto Taiji. (2004). PetaFLOPS computing. Communications of the ACM. 47(11). 42–45. 3 indexed citations
16.
Swope, William C., Jed W. Pitera, Frank Suits, et al.. (2004). Describing Protein Folding Kinetics by Molecular Dynamics Simulations. 2. Example Applications to Alanine Dipeptide and a β-Hairpin Peptide. The Journal of Physical Chemistry B. 108(21). 6582–6594. 145 indexed citations
17.
Fitch, Blake G., Robert S. Germain, M. Mendell, et al.. (2003). Blue Matter, an application framework for molecular simulation on Blue Gene. Journal of Parallel and Distributed Computing. 63(7-8). 759–773. 53 indexed citations
18.
Zhou, Ruhong, B. J. Berne, & Robert S. Germain. (2001). The free energy landscape for β hairpin folding in explicit water. Proceedings of the National Academy of Sciences. 98(26). 14931–14936. 416 indexed citations
19.
Germain, Robert S., et al.. (1997). Fingerprint matching using transformation parameter clustering. 4(4). 42–49. 177 indexed citations
20.
Germain, Robert S.. (1992). Boissons de nos aïeux. Érudit (Université de Montréal). 10–13.

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.

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