Naser Sedaghati

515 total citations
11 papers, 394 citations indexed

About

Naser Sedaghati is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Naser Sedaghati has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 9 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Naser Sedaghati's work include Parallel Computing and Optimization Techniques (10 papers), Low-power high-performance VLSI design (4 papers) and Distributed and Parallel Computing Systems (4 papers). Naser Sedaghati is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Low-power high-performance VLSI design (4 papers) and Distributed and Parallel Computing Systems (4 papers). Naser Sedaghati collaborates with scholars based in United States and France. Naser Sedaghati's co-authors include P. Sadayappan, Louis-Noël Pouchet, Srinivasan Parthasarathy, Radu Teodorescu, Timothy N. Miller, Mahdi Nazm Bojnordi, Fabrice Rastello and J. Ramanujam and has published in prestigious journals such as Journal of Parallel and Distributed Computing and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Naser Sedaghati

11 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naser Sedaghati United States	9	311	258	87	79	59	11	394
Manu Shantharam United States	9	205 0.7×	182 0.7×	74 0.9×	56 0.7×	26 0.4×	18	289
Jeffrey Bosboom United States	5	255 0.8×	164 0.6×	52 0.6×	91 1.2×	72 1.2×	9	356
Jonathan Beaumont United States	7	202 0.6×	152 0.6×	85 1.0×	87 1.1×	109 1.8×	10	321
Hongbo Rong United States	10	265 0.9×	163 0.6×	65 0.7×	70 0.9×	42 0.7×	29	317
Cédric Bastoul France	9	436 1.4×	307 1.2×	36 0.4×	107 1.4×	41 0.7×	18	496
Amy W. Lim United States	7	387 1.2×	312 1.2×	42 0.5×	69 0.9×	23 0.4×	7	427
Andrew Kerr United States	10	475 1.5×	438 1.7×	63 0.7×	40 0.5×	43 0.7×	11	537
Nawaaz Ahmed United States	9	337 1.1×	263 1.0×	76 0.9×	74 0.9×	10 0.2×	14	407
Jacques A. Pienaar United States	8	243 0.8×	145 0.6×	61 0.7×	113 1.4×	58 1.0×	8	369

Countries citing papers authored by Naser Sedaghati

Since Specialization

Citations

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

Fields of papers citing papers by Naser Sedaghati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naser Sedaghati

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

All Works

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11 of 11 papers shown

1.

Sedaghati, Naser, et al.. (2017). Adaptive Time-based Encoding for Energy-Efficient Large Cache Architectures. 1–8. 4 indexed citations

2.

Sedaghati, Naser, et al.. (2016). Core tunneling: Variation-aware voltage noise mitigation in GPUs. 151–162. 22 indexed citations

3.

Sedaghati, Naser, et al.. (2016). EmerGPU: Understanding and mitigating resonance-induced voltage noise in GPU architectures. 79–89. 17 indexed citations

4.

Sedaghati, Naser, et al.. (2015). On Using the Roofline Model with Lower Bounds on Data Movement. ACM Transactions on Architecture and Code Optimization. 11(4). 1–23. 1 indexed citations

5.

Sedaghati, Naser, et al.. (2015). Automatic Selection of Sparse Matrix Representation on GPUs. 99–108. 103 indexed citations

6.

Sedaghati, Naser, et al.. (2015). Characterizing dataset dependence for sparse matrix-vector multiplication on GPUs. 17–24. 9 indexed citations

7.

Sedaghati, Naser, et al.. (2014). A model-driven blocking strategy for load balanced sparse matrix–vector multiplication on GPUs. Journal of Parallel and Distributed Computing. 76. 3–15. 10 indexed citations

8.

Sedaghati, Naser, et al.. (2014). Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. 781–792. 115 indexed citations

9.

Sedaghati, Naser, et al.. (2014). An efficient two-dimensional blocking strategy for sparse matrix-vector multiplication on GPUs. 273–282. 46 indexed citations

10.

Miller, Timothy N., et al.. (2012). Booster: Reactive core acceleration for mitigating the effects of process variation and application imbalance in low-voltage chips. 1–12. 59 indexed citations

11.

Sedaghati, Naser, et al.. (2011). StVEC: A Vector Instruction Extension for High Performance Stencil Computation. 276–287. 8 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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