Saba Sehrish

902 total citations
25 papers, 397 citations indexed

About

Saba Sehrish is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Saba Sehrish has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 8 papers in Information Systems and Management and 6 papers in Information Systems. Recurrent topics in Saba Sehrish's work include Advanced Data Storage Technologies (19 papers), Distributed and Parallel Computing Systems (12 papers) and Scientific Computing and Data Management (7 papers). Saba Sehrish is often cited by papers focused on Advanced Data Storage Technologies (19 papers), Distributed and Parallel Computing Systems (12 papers) and Scientific Computing and Data Management (7 papers). Saba Sehrish collaborates with scholars based in United States, New Zealand and Philippines. Saba Sehrish's co-authors include Jun Wang, John Bent, Salman Habib, Wei‐keng Liao, Katrin Heitmann, Patricia Fasel, David Daniel, George Zagaris, Vitali Morozov and Adrian Pope and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Parallel and Distributed Systems and Parallel Computing.

In The Last Decade

Saba Sehrish

19 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba Sehrish United States 8 269 175 72 71 54 25 397
Filippo Gioachin United States 7 219 0.8× 143 0.8× 123 1.7× 34 0.5× 32 0.6× 15 308
Dries Kimpe United States 16 482 1.8× 159 0.9× 208 2.9× 161 2.3× 35 0.6× 33 710
J. Álvarez Cid-Fuentes Spain 8 127 0.5× 75 0.4× 20 0.3× 140 2.0× 49 0.9× 14 303
Cheng-Gang Qin China 8 282 1.0× 263 1.5× 39 0.5× 21 0.3× 61 1.1× 25 378
Diana Moise France 6 181 0.7× 147 0.8× 44 0.6× 6 0.1× 85 1.6× 10 311
Kevin Huck United States 12 365 1.4× 157 0.9× 300 4.2× 6 0.1× 24 0.4× 56 453
Jacek Becla United States 5 173 0.6× 73 0.4× 17 0.2× 8 0.1× 44 0.8× 20 254
Roman Iakymchuk Sweden 8 95 0.4× 65 0.4× 99 1.4× 16 0.2× 24 0.4× 24 213
William Killian United States 4 142 0.5× 77 0.4× 176 2.4× 8 0.1× 56 1.0× 4 294

Countries citing papers authored by Saba Sehrish

Since Specialization
Citations

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

Fields of papers citing papers by Saba Sehrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Sehrish

This figure shows the co-authorship network connecting the top 25 collaborators of Saba Sehrish. A scholar is included among the top collaborators of Saba Sehrish 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 Saba Sehrish. Saba Sehrish 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.
Gutsche, O., T. Bose, M. Votava, et al.. (2024). The U.S. CMS HL-LHC R&D Strategic Plan. SHILAP Revista de lepidopterología. 295. 4050–4050.
2.
Lee, Sunwoo, Kaiyuan Hou, Saba Sehrish, et al.. (2021). A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Computing. 110. 102877–102877. 6 indexed citations
3.
Groh, M., N. J. Buchanan, D. Doyle, et al.. (2021). PandAna: A Python Analysis Framework for Scalable High Performance Computing in High Energy Physics. SHILAP Revista de lepidopterología. 251. 3033–3033.
4.
Dorier, Matthieu, Galen Shipman, Jérôme Soumagne, et al.. (2018). Methodology for the Rapid Development of Scalable HPC Data Services. 76–87. 10 indexed citations
5.
Sehrish, Saba, Jim Kowalkowski, M. Paterno, & C. Green. (2017). Python and HPC for High Energy Physics Data Analyses. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 5 indexed citations
6.
Gutsche, O., M. Cremonesi, P. Elmer, et al.. (2017). Big Data in HEP: A comprehensive use case study. Journal of Physics Conference Series. 898. 72012–72012. 4 indexed citations
7.
Son, Seung Woo, Saba Sehrish, Wei‐keng Liao, Ron A. Oldfield, & Alok Choudhary. (2016). Reducing I/O variability using dynamic I/O path characterization in petascale storage systems. The Journal of Supercomputing. 73(5). 2069–2097. 9 indexed citations
8.
Habib, Salman, Adrian Pope, Hal Finkel, et al.. (2015). HACC: Simulating sky surveys on state-of-the-art supercomputing architectures. New Astronomy. 42. 49–65. 141 indexed citations
9.
Madduri, Ravi, Álex Rodríguez, Thomas Uram, et al.. (2015). PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Computing in Science & Engineering. 17(5). 18–26. 2 indexed citations
10.
Zuntz, J., M. Paterno, Elise Jennings, et al.. (2014). CosmoSIS: Cosmological parameter estimation. Astrophysics Source Code Library.
11.
Chard, Ryan, Saba Sehrish, Álex Rodríguez, et al.. (2014). PDACS - A Portal for Data Analysis Services for Cosmological Simulations. 27. 30–33. 7 indexed citations
12.
Sehrish, Saba, Seung Woo Son, Wei‐keng Liao, Alok Choudhary, & Karen Schuchardt. (2013). Improving collective I/O performance by pipelining request aggregation and file access. 37–42. 5 indexed citations
13.
Son, Seung Woo, Saba Sehrish, Wei‐keng Liao, Ron A. Oldfield, & Alok Choudhary. (2013). Dynamic file striping and data layout transformation on parallel system with fluctuating I/O workload. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 1 indexed citations
14.
Sehrish, Saba, et al.. (2012). Supporting HPC Analytics Applications with Access Patterns Using Data Restructuring and Data-Centric Scheduling Techniques in MapReduce. IEEE Transactions on Parallel and Distributed Systems. 24(1). 158–169. 19 indexed citations
15.
Sehrish, Saba. (2010). Improving Performance And Programmer Productivity For I/o-intensive High Performance Computing Applications. Journal of International Crisis and Risk Communication Research. 1 indexed citations
16.
Sehrish, Saba, et al.. (2010). Concentric Layout, a New Scientific Data Distribution Scheme in Hadoop File System. Journal of International Crisis and Risk Communication Research. 6. 231–239.
17.
Sehrish, Saba & Jun Wang. (2010). Reduced Function Set Abstraction (RFSA) for MPI-IO. The Journal of Supercomputing. 59(1). 131–146. 1 indexed citations
18.
Sehrish, Saba, et al.. (2010). MRAP. Journal of International Crisis and Risk Communication Research. 107–118. 35 indexed citations
19.
Sehrish, Saba & Jun Wang. (2009). Smart read/write for MPI-IO. Journal of International Crisis and Risk Communication Research. 1–8. 1 indexed citations
20.
Sehrish, Saba, et al.. (2009). Improving metadata management for small files in HDFS. Journal of International Crisis and Risk Communication Research. 86 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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