Sarat Sreepathi

841 total citations
20 papers, 273 citations indexed

About

Sarat Sreepathi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Sarat Sreepathi has authored 20 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 4 papers in Artificial Intelligence. Recurrent topics in Sarat Sreepathi's work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Data Storage Technologies (4 papers). Sarat Sreepathi is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Data Storage Technologies (4 papers). Sarat Sreepathi collaborates with scholars based in United States, Sweden and Germany. Sarat Sreepathi's co-authors include Joseph F. DeCarolis, Mark A. Taylor, G. Mahinthakumar, Jitendra Kumar, Kyle G. Pressel, Patrick H Worley, Walter M. Hannah, Bobby Philip, Christopher Eldred and C. R. Jones and has published in prestigious journals such as Energy Economics, Physics of Plasmas and Geoscientific model development.

In The Last Decade

Sarat Sreepathi

19 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarat Sreepathi United States 7 154 83 42 39 38 20 273
Gerald M. Lohmann Germany 10 185 1.2× 144 1.7× 28 0.7× 27 0.7× 38 1.0× 10 431
Mirko Schäfer Germany 11 232 1.5× 59 0.7× 30 0.7× 43 1.1× 75 2.0× 28 434
A. Maafi Algeria 9 179 1.2× 177 2.1× 19 0.5× 10 0.3× 34 0.9× 12 312
Christophe Chevallier United States 5 472 3.1× 31 0.4× 27 0.6× 13 0.3× 17 0.4× 8 515
G. Jordan United States 11 447 2.9× 48 0.6× 21 0.5× 6 0.2× 37 1.0× 22 531
Jooyoung Jeon South Korea 13 347 2.3× 25 0.3× 87 2.1× 13 0.3× 6 0.2× 32 558
V. Banunarayanan United States 8 476 3.1× 181 2.2× 23 0.5× 4 0.1× 15 0.4× 11 596
Alper Ecemiş Türkiye 4 302 2.0× 14 0.2× 17 0.4× 6 0.2× 29 0.8× 7 367
Warren Katzenstein United States 7 534 3.5× 70 0.8× 40 1.0× 4 0.1× 86 2.3× 16 642
Ingmar Schlecht Germany 9 191 1.2× 55 0.7× 17 0.4× 4 0.1× 32 0.8× 15 261

Countries citing papers authored by Sarat Sreepathi

Since Specialization
Citations

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

Fields of papers citing papers by Sarat Sreepathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarat Sreepathi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarat Sreepathi. A scholar is included among the top collaborators of Sarat Sreepathi 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 Sarat Sreepathi. Sarat Sreepathi 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.
Mudunuru, Maruti Kumar, James Ang, Mahantesh Halappanavar, et al.. (2023). Perspectives on AI Architectures and Codesign for Earth System Predictability. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(1).
2.
Roekel, Luke Van, et al.. (2023). Porting the WAVEWATCH III (v6.07) wave action source terms to GPU. Geoscientific model development. 16(4). 1445–1458. 3 indexed citations
3.
Sreepathi, Sarat & Mark A. Taylor. (2021). Early Evaluation of Fugaku A64FX Architecture Using Climate Workloads. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 719–727. 4 indexed citations
4.
Norman, Matthew, David C. Bader, Christopher Eldred, et al.. (2021). Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer. The International Journal of High Performance Computing Applications. 36(1). 93–105. 20 indexed citations
5.
Mao, Jiafu, Jitendra Kumar, Sarat Sreepathi, et al.. (2020). Land Model Testbed: Accelerating Development, Benchmarking and Analysis of Land Surface Models. OSF Preprints (OSF Preprints). 2020. 1 indexed citations
6.
Dominski, J., Yang Chen, Haotian Chen, et al.. (2020). Spatial core-edge coupling of the particle-in-cell gyrokinetic codes GEM and XGC. Physics of Plasmas. 27(12). 13 indexed citations
7.
Sreepathi, Sarat, et al.. (2018). EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
8.
Mills, Richard T., et al.. (2018). Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 265. 787–794. 2 indexed citations
9.
Roth, Philip C., Hongzhang Shan, Nikolas Antolin, et al.. (2017). Performance analysis and optimization of the RAMPAGE metal alloy potential generation software. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11–20. 2 indexed citations
10.
Sreepathi, Sarat, et al.. (2017). Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1. 267–277. 4 indexed citations
12.
Sreepathi, Sarat, et al.. (2014). Application Characterization Using Oxbow Toolkit and PADS Infrastructure. 55–63. 8 indexed citations
13.
Sreepathi, Sarat, et al.. (2013). SCORPIO: A scalable two-phase parallel I/O library with application to a large scale subsurface simulator. 125. 443–451. 1 indexed citations
14.
Sreepathi, Sarat, et al.. (2013). Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa). Energy Economics. 40. 339–349. 94 indexed citations
15.
Sreepathi, Sarat & G. Mahinthakumar. (2012). Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications. 1524–1525. 2 indexed citations
16.
DeCarolis, Joseph F., et al.. (2012). The case for repeatable analysis with energy economy optimization models. Energy Economics. 34(6). 1845–1853. 100 indexed citations
17.
Sreepathi, Sarat. (2012). Poster: Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications. 1526–1526. 1 indexed citations
18.
Sreepathi, Sarat, et al.. (2011). Poster. 67–68. 1 indexed citations
19.
Kumar, Jitendra, Sarat Sreepathi, E. Downey Brill, Ranji Ranjithan, & G. Mahinthakumar. (2010). Detection of Leaks in Water Distribution System Using Routine Water Quality Measurements. 4185–4192. 7 indexed citations
20.
Worley, Patrick H, J. Candy, Laura Carrington, et al.. (2005). Performance analysis of GYRO: a tool evaluation. Journal of Physics Conference Series. 16. 551–555. 2 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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