Scott Klasky

6.7k total citations · 1 hit paper
185 papers, 3.9k citations indexed

About

Scott Klasky is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, Scott Klasky has authored 185 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Computer Networks and Communications, 69 papers in Information Systems and Management and 46 papers in Hardware and Architecture. Recurrent topics in Scott Klasky's work include Advanced Data Storage Technologies (131 papers), Distributed and Parallel Computing Systems (97 papers) and Scientific Computing and Data Management (69 papers). Scott Klasky is often cited by papers focused on Advanced Data Storage Technologies (131 papers), Distributed and Parallel Computing Systems (97 papers) and Scientific Computing and Data Management (69 papers). Scott Klasky collaborates with scholars based in United States, China and Germany. Scott Klasky's co-authors include Norbert Podhorszki, Karsten Schwan, Manish Parashar, Jay Lofstead, Ciprian Docan, Matthew Wolf, Hasan Abbasi, Fang Zheng, Ben Whitney and Qing Liu and has published in prestigious journals such as IEEE Transactions on Computers, Physics of Plasmas and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Scott Klasky

174 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Terascale direct numerical simulations of turbulent combustion using S3D

2009 458 citations Scott Klasky, Norbert Podhorszki et al. profile →

Peers

Countries citing papers authored by Scott Klasky

Since Specialization

Citations

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

Fields of papers citing papers by Scott Klasky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Klasky

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Optimising the processing and storage of visibilities using lossy compression 2025 ·Publications of the Astronomical Society of Australia ·Richard Dodson, (unknown), Qian Gong, Pascal J. Elahi, A. Wicenec, María Rioja, Jieyang Chen, Norbert Podhorszki, Scott Klasky, M. Meyer	0
2	HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs 2025 ·Yanliang Li, (unknown), Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen	0
3	Stability-preserving Lossy Compression for Large-scale Partial Differential Equations 2025 ·Qian Gong, (unknown), Jieyang Chen, Xin Liang, (unknown), (unknown), (unknown), Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky	0
4	Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules 2024 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Kshitij Mehta, (unknown), (unknown), Pilsun Yoo, Frédéric Suter, Dmitry Ganyushin, Scott Klasky	1
5	Streaming Data in HPC Workflows Using ADIOS 2024 ·Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, (unknown), Manish Parashar, Matthew Wolf, E. Suchyta, Erick Fredj, (unknown), (unknown), Klaus Steiniger, Michael Bußmann, Richard Pausch, Sunita Chandrasekaran	1
6	Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context 2023 ·(unknown), Greg Eisenhauer, Scott Klasky, Ada Gavrilovska	2
7	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring 2023 ·SoftwareX ·Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, (unknown), (unknown), (unknown), Anand Rangarajan, Lipeng Wan, (unknown), Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky	18
8	Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu	1
9	Identifying challenges and opportunities of in-memory computing on large HPC systems 2022 ·Journal of Parallel and Distributed Computing ·Dan Huang, (unknown), Qing Liu, Norbert Podhorszki, Scott Klasky	4
10	A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis 2021 ·Fusion Science & Technology ·R.M. Churchill, C. S. Chang, Jong Youl Choi, (unknown), Scott Klasky, R. Kube, (unknown), M. Choi, (unknown), Matthew Wolf, R. Hager, S. Ku, (unknown), Thomas J. Carroll, (unknown), Eli Dart, (unknown)	3
11	Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization 2021 ·IEEE Transactions on Parallel and Distributed Systems ·Lipeng Wan, Axel Huebl, Junmin Gu, (unknown), Ana Gainaru, (unknown), Jieyang Chen, Xin Liang, (unknown), Todd Munson, Ian Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky	17
12	Neural data compression for physics plasma simulation 2021 ·International Conference on Learning Representations ·Jong Youl Choi, R.M. Churchill, Qian Gong, S. Ku, (unknown), Anand Rangarajan, Sanjay Ranka, (unknown), C. S. Chang, Scott Klasky	2
13	In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms, a State-of-the-art (STAR) Report 2016 ·eScholarship (California Digital Library) ·E. Wes Bethel, Andrew Bauer, Hasan Abbasi, James Ahrens, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O’Leary, Venkatram Vishwanath, Brad Whitlock	1
14	Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows 2016 ·eScholarship (California Digital Library) ·David Pugmire, James Kress, (unknown), Scott Klasky, Tahsin Kurç, R.M. Churchill, Matthew Wolf, (unknown), Hank Childs, Kesheng Wu, Alex Sim, Junmin Gu, Jonathan Low	5
15	Adaptive data placement for staging-based coupled scientific workflows 2015 ·Qian Sun, Tong Jin, (unknown), (unknown), Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar	18
16	Runtime I/O re-routing + throttling on HPC storage 2013 ·Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky	17
17	High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms 2013 ·PubMed ·George Teodoro, Tony Pan, Tahsin Kurç, Jun Kong, Lee Cooper, Norbert Podhorszki, Scott Klasky, Joel Saltz	26
18	Byte-precision level of detail processing for variable precision analytics 2012 ·IEEE International Conference on High Performance Computing, Data, and Analytics ·John Jenkins, (unknown), Sriram Lakshminarasimhan, (unknown), (unknown), S. Ethier, Robert Ross, Scott Klasky, Nagiza F. Samatova	12
19	Parallel in situ indexing for data-intensive computing 2011 ·Jinoh Kim, Hasan Abbasi, Luis Chacòn, Ciprian Docan, Scott Klasky, (unknown), Norbert Podhorszki, Arie Shoshani, Kesheng Wu	37
20	Plasma Edge Kinetic-MHD Modeling in Tokamaks Using Kepler Workflow for Code Coupling, Data Management and Visualization 2008 ·Communications in Computational Physics ·Julian Cummings, A.Y. Pankin, (unknown), (unknown), S. Ku, (unknown), Scott Klasky, C. S. Chang, H. R. Strauss, L. Sugiyama, P.B. Snyder, (unknown), Bertram Ludäscher, G. Bateman, A.H. Kritz	21

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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