Newsha Ardalani

1.3k total citations
13 papers, 319 citations indexed

About

Newsha Ardalani is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Newsha Ardalani has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Newsha Ardalani's work include Parallel Computing and Optimization Techniques (6 papers), Embedded Systems Design Techniques (5 papers) and Interconnection Networks and Systems (2 papers). Newsha Ardalani is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Embedded Systems Design Techniques (5 papers) and Interconnection Networks and Systems (2 papers). Newsha Ardalani collaborates with scholars based in United States and China. Newsha Ardalani's co-authors include Karthikeyan Sankaralingam, Tony Nowatzki, Vinay Gangadhar, Xiaojin Zhu, Joel Hestness, Gregory Diamos, Jian Weng, Saptadeep Pal, Puneet Gupta and David Brooks and has published in prestigious journals such as ACM Transactions on Design Automation of Electronic Systems, ACM SIGARCH Computer Architecture News and Minds at UW (University of Wisconsin).

In The Last Decade

Newsha Ardalani

12 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Newsha Ardalani United States 7 213 174 79 54 48 13 319
Zhaoshi Li China 8 187 0.9× 152 0.9× 86 1.1× 45 0.8× 64 1.3× 19 286
Vidushi Dadu United States 6 215 1.0× 176 1.0× 63 0.8× 31 0.6× 55 1.1× 10 279
Vinay Gangadhar United States 9 259 1.2× 202 1.2× 81 1.0× 31 0.6× 27 0.6× 14 309
Hyunsung Shin South Korea 6 178 0.8× 143 0.8× 188 2.4× 42 0.8× 62 1.3× 6 332
Maurício Breternitz United States 10 175 0.8× 180 1.0× 54 0.7× 88 1.6× 58 1.2× 53 330
Jian Weng United States 6 237 1.1× 181 1.0× 73 0.9× 33 0.6× 45 0.9× 14 288
Muhammad Ali Shami Sweden 12 182 0.9× 189 1.1× 112 1.4× 24 0.4× 26 0.5× 19 315
Shouzhen Gu China 11 125 0.6× 148 0.9× 143 1.8× 85 1.6× 65 1.4× 29 317
Tiago Mück United States 9 212 1.0× 168 1.0× 75 0.9× 43 0.8× 22 0.5× 32 283
Milad Hashemi United States 8 227 1.1× 210 1.2× 97 1.2× 128 2.4× 58 1.2× 14 377

Countries citing papers authored by Newsha Ardalani

Since Specialization
Citations

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

Fields of papers citing papers by Newsha Ardalani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Newsha Ardalani

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

All Works

13 of 13 papers shown
1.
Acun, Bilge, Newsha Ardalani, Zachary DeVito, et al.. (2024). MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. 818–833. 2 indexed citations
2.
Ardalani, Newsha, Shruti Bhosale, Haiyang Huang, et al.. (2024). Toward Efficient Inference for Mixture of Experts. 84033–84059.
3.
Mahmoud, Anas, et al.. (2024). Sieve: Multimodal Dataset Pruning Using Image Captioning Models. 22423–22432. 4 indexed citations
4.
Gupta, Udit, Bilge Acun, Newsha Ardalani, et al.. (2023). MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. 449–465. 8 indexed citations
5.
Ardalani, Newsha, Saptadeep Pal, & Puneet Gupta. (2023). DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems. ACM Transactions on Design Automation of Electronic Systems. 29(2). 1–20. 7 indexed citations
6.
Hestness, Joel, et al.. (2021). Time and the value of data. Academy of Management Proceedings. 2021(1). 13609–13609. 1 indexed citations
7.
Hestness, Joel, et al.. (2020). Time and the Value of Data. SSRN Electronic Journal. 4 indexed citations
8.
Hestness, Joel, Newsha Ardalani, & Gregory Diamos. (2019). Beyond human-level accuracy. 1–14. 43 indexed citations
9.
Nowatzki, Tony, Newsha Ardalani, Karthikeyan Sankaralingam, & Jian Weng. (2018). Hybrid optimization/heuristic instruction scheduling for programmable accelerator codesign. 1–15. 37 indexed citations
10.
Nowatzki, Tony, Vinay Gangadhar, Newsha Ardalani, & Karthikeyan Sankaralingam. (2017). Stream-Dataflow Acceleration. 416–429. 119 indexed citations
11.
Nowatzki, Tony, Vinay Gangadhar, Newsha Ardalani, & Karthikeyan Sankaralingam. (2017). Stream-Dataflow Acceleration. ACM SIGARCH Computer Architecture News. 45(2). 416–429. 21 indexed citations
12.
Ardalani, Newsha, et al.. (2015). Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance. 725–737. 72 indexed citations
13.
Ardalani, Newsha, Karthikeyan Sankaralingam, & Xiaojin Zhu. (2014). Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code. Minds at UW (University of Wisconsin). 1 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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