Subhash Saini

1.3k total citations
65 papers, 950 citations indexed

About

Subhash Saini is a scholar working on Computer Networks and Communications, Hardware and Architecture and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Subhash Saini has authored 65 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 35 papers in Hardware and Architecture and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Subhash Saini's work include Parallel Computing and Optimization Techniques (34 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (23 papers). Subhash Saini is often cited by papers focused on Parallel Computing and Optimization Techniques (34 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (23 papers). Subhash Saini collaborates with scholars based in United States, Germany and India. Subhash Saini's co-authors include Howard S. Taylor, Priya Vashishta, Rajiv K. Kalia, Aiichiro Nakano, Rupak Biswas, Haoqiang Jin, Dževad Belkić, Stephen A. Jarvis, Junwei Cao and Phillip Walsh and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Annals of the New York Academy of Sciences.

In The Last Decade

Subhash Saini

64 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhash Saini United States 16 414 270 243 188 145 65 950
Taisuke Boku Japan 17 636 1.5× 237 0.9× 603 2.5× 198 1.1× 169 1.2× 142 1.2k
David M. Beazley United States 14 200 0.5× 88 0.3× 180 0.7× 86 0.5× 365 2.5× 36 1.1k
R.A. Haring United States 22 440 1.1× 85 0.3× 460 1.9× 77 0.4× 260 1.8× 47 1.5k
Michael Resch Germany 14 154 0.4× 77 0.3× 141 0.6× 35 0.2× 58 0.4× 62 637
Kirk E. Jordan United States 14 141 0.3× 173 0.6× 88 0.4× 65 0.3× 65 0.4× 49 765
Zeyao Mo China 14 153 0.4× 57 0.2× 140 0.6× 49 0.3× 66 0.5× 73 625
Paul Messina United States 15 389 0.9× 58 0.2× 277 1.1× 83 0.4× 67 0.5× 39 708
Eiichi Takahashi Japan 15 158 0.4× 128 0.5× 118 0.5× 45 0.2× 90 0.6× 126 963
Vitali Morozov United States 16 467 1.1× 101 0.4× 325 1.3× 173 0.9× 433 3.0× 41 1.3k
Harry F. Jordan United States 18 376 0.9× 253 0.9× 283 1.2× 30 0.2× 26 0.2× 95 1.1k

Countries citing papers authored by Subhash Saini

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash Saini. 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 Subhash Saini. The network helps show where Subhash Saini may publish in the future.

Co-authorship network of co-authors of Subhash Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Saini. A scholar is included among the top collaborators of Subhash Saini 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 Subhash Saini. Subhash Saini 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.
Saini, Subhash, et al.. (2015). The Syndrome of Familial Hypoparathyroidism, Sensorineural Deafness and Renal Dysplasia.. PubMed. 63(6). 73–5. 2 indexed citations
2.
Saini, Subhash, et al.. (2012). I/O performance characterization of Lustre and NASA applications on Pleiades. NASA STI Repository (National Aeronautics and Space Administration). 1–10. 21 indexed citations
3.
Mehrotra, Piyush, et al.. (2012). Performance evaluation of Amazon EC2 for NASA HPC applications. 41–50. 75 indexed citations
4.
Saini, Subhash, et al.. (2012). Comparison of Pole Placement and LQR Applied to Single Link Flexible Manipulator. 843–847. 17 indexed citations
5.
Saini, Subhash, et al.. (2008). Scientific application-based performance comparison of SGI Altix 4700, IBM POWER5+, and SGI ICE 8200 supercomputers. IEEE International Conference on High Performance Computing, Data, and Analytics. 7. 20 indexed citations
6.
Saini, Subhash, et al.. (2008). Application-based early performance evaluation of SGI altix 4700 systems for SGI systems. 113–114. 3 indexed citations
7.
Saini, Subhash, et al.. (2008). Performance comparison of SGI Altix 4700 and SGI Altix 3700 Bx2. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 4700. 1–8. 1 indexed citations
8.
Saini, Subhash, B Gunney, Alice Koniges, et al.. (2007). Performance evaluation of supercomputers using HPCC and IMB Benchmarks. Journal of Computer and System Sciences. 74(6). 965–982. 15 indexed citations
9.
Kikuchi, Hideaki, Bijaya B. Karki, & Subhash Saini. (2006). Topology-Aware Parallel Molecular Dynamics Simulation Algorithm.. Parallel and Distributed Processing Techniques and Applications. 1083–1088. 6 indexed citations
10.
Saini, Subhash, et al.. (2006). Interconnect performance evaluation of SGI altix 3700 BX2, cray X1, cray opteron cluster, and dell PowerEdge. International Parallel and Distributed Processing Symposium. 323–323. 4 indexed citations
11.
Saini, Subhash, et al.. (2006). A scalability Study of SGI Clustered XFS Using HDF Based AMR Application. Computational Methods in Science and Technology. Special Issue(1). 47–54. 2 indexed citations
12.
Saini, Subhash, et al.. (2006). A scalability Study of Columbia using the NAS Parallel Benchmarks. Computational Methods in Science and Technology. Special Issue(1). 33–45. 14 indexed citations
13.
Karki, Bijaya B., Hideaki Kikuchi, & Subhash Saini. (2005). Performance of Parallel Molecular Dynamics Algorithm with Ewald Coulomb.. 564–568. 1 indexed citations
14.
Biswas, Rupak, Subhash Saini, Dennis C. Jespersen, et al.. (2005). NAS Experience with the Cray X1. Clinical and Diagnostic Laboratory Immunology. 2(3). 385–6. 2 indexed citations
15.
Karki, Bijaya B., et al.. (2005). A Parallel Molecular Dynamics Algorithm for Polycrystalline Minerals.. 10(6). 201–207. 2 indexed citations
16.
Frumkin, Michael, Haoqiang Jin, Jerry Yan, & Subhash Saini. (1998). HPF Implementation of NPB2.3. NASA Technical Reports Server (NASA). 4 indexed citations
17.
Yu, Zhiping, et al.. (1998). Simulation of Ultra-Small MOSFETs Using a 2-D Quantum-Corrected Drift-Diffusion Model. NASA Technical Reports Server (NASA). 1 indexed citations
18.
Jin, Haoqiang, Michelle R. Hribar, Jerry Yan, & Subhash Saini. (1998). Parallelization of ARC3D with Computer-Aided Tools. NASA Technical Reports Server (NASA). 3 indexed citations
19.
Saini, Subhash & Horst D. Simon. (1994). Applications performance under OSF/1 AD and SUNMOS on Intel Paragon XP/S-15. Conference on High Performance Computing (Supercomputing). 580–589. 3 indexed citations
20.
Belkić, Dževad, Subhash Saini, & Howard S. Taylor. (1987). Critical test of first-order theories for electron transfer in collisions between multicharged ions and atomic hydrogen: The boundary condition problem. Physical review. A, General physics. 36(4). 1601–1617. 83 indexed citations

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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