Austin Rovinski

2.2k total citations · 2 hit papers
23 papers, 1.5k citations indexed

About

Austin Rovinski is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Austin Rovinski has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Hardware and Architecture. Recurrent topics in Austin Rovinski's work include IoT and Edge/Fog Computing (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Interconnection Networks and Systems (5 papers). Austin Rovinski is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Interconnection Networks and Systems (5 papers). Austin Rovinski collaborates with scholars based in United States, Brazil and Singapore. Austin Rovinski's co-authors include Trevor Mudge, Jason Mars, Lingjia Tang, Johann Hauswald, Yiping Kang, Cao Gao, Ronald Dreslinski, Michael A. Laurenzano, Vinícius Petrucci and Cheng Li and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.

In The Last Decade

Austin Rovinski

19 papers receiving 1.4k citations

Hit Papers

Neurosurgeon 2017 2026 2020 2023 2017 2017 100 200 300 400 500
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.

  1. Neurosurgeon
    2017 527 citations Yiping Kang, Johann Hauswald et al. ACM SIGARCH Computer Architecture News profile →
  2. Neurosurgeon
    2017 449 citations Yiping Kang, Johann Hauswald et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin Rovinski United States 11 839 688 445 392 203 23 1.5k
Johann Hauswald United States 12 860 1.0× 755 1.1× 482 1.1× 372 0.9× 235 1.2× 14 1.5k
Yiping Kang United States 9 743 0.9× 683 1.0× 425 1.0× 342 0.9× 167 0.8× 12 1.3k
Cao Gao United States 7 720 0.9× 628 0.9× 378 0.8× 357 0.9× 128 0.6× 7 1.2k
Bradley McDanel United States 8 650 0.8× 759 1.1× 585 1.3× 422 1.1× 92 0.5× 19 1.4k
Haichen Shen United States 13 512 0.6× 694 1.0× 379 0.9× 337 0.9× 144 0.7× 20 1.3k
Ke Luo China 8 817 1.0× 380 0.6× 516 1.2× 456 1.2× 242 1.2× 22 1.5k
Henggang Cui United States 13 327 0.4× 695 1.0× 762 1.7× 135 0.3× 214 1.1× 20 1.5k
Qingyang Zhang China 20 539 0.6× 313 0.5× 403 0.9× 259 0.7× 439 2.2× 54 1.2k
Xiao Ma China 20 1.3k 1.6× 174 0.3× 246 0.6× 586 1.5× 584 2.9× 89 1.8k

Countries citing papers authored by Austin Rovinski

Since Specialization
Citations

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

Fields of papers citing papers by Austin Rovinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin Rovinski

This figure shows the co-authorship network connecting the top 25 collaborators of Austin Rovinski. A scholar is included among the top collaborators of Austin Rovinski 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 Austin Rovinski. Austin Rovinski 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.
Zhang, Hengrui, et al.. (2025). Optically Connected Multi-Stack HBM Modules for Large Language Model Training and Inference. IEEE Computer Architecture Letters. 24(1). 49–52.
2.
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4.
Chhabria, Vidya A., et al.. (2024). OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. 1–7. 5 indexed citations
5.
Yadav, Ajay Singh, et al.. (2024). EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD. 1–5. 10 indexed citations
6.
Chhabria, Vidya A., et al.. (2024). OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. 1–7. 6 indexed citations
7.
Park, Dong-Hyeon, Subhankar Pal, Siying Feng, et al.. (2020). A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix–Matrix Multiplication Accelerator. IEEE Journal of Solid-State Circuits. 55(4). 933–944. 14 indexed citations
8.
He, Xin, Subhankar Pal, Aporva Amarnath, et al.. (2020). Sparse-TPU. 1–12. 62 indexed citations
9.
Pal, Subhankar, Dong-Hyeon Park, Siying Feng, et al.. (2019). A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. C150–C151. 6 indexed citations
10.
Davidson, Scott, Christopher Torng, Austin Rovinski, et al.. (2018). The Celerity Open-Source 511-Core RISC-V Tiered Accelerator Fabric: Fast Architectures and Design Methodologies for Fast Chips. IEEE Micro. 38(2). 30–41. 59 indexed citations
11.
Kang, Yiping, Johann Hauswald, Cao Gao, et al.. (2017). Neurosurgeon. 615–629. 449 indexed citations breakdown →
12.
Kang, Yiping, Johann Hauswald, Cao Gao, et al.. (2017). Neurosurgeon. ACM SIGPLAN Notices. 52(4). 615–629. 111 indexed citations
13.
Amarnath, Aporva, et al.. (2017). A carbon nanotube transistor based RISC-V processor using pass transistor logic. 1–6. 3 indexed citations
14.
Kang, Yiping, Johann Hauswald, Cao Gao, et al.. (2017). Neurosurgeon. ACM SIGOPS Operating Systems Review. 51(2). 615–629. 17 indexed citations
15.
Kang, Yiping, Johann Hauswald, Cao Gao, et al.. (2017). Neurosurgeon. ACM SIGARCH Computer Architecture News. 45(1). 615–629. 527 indexed citations breakdown →
16.
Hauswald, Johann, Michael A. Laurenzano, Cheng Li, et al.. (2016). Sirius Implications for Future Warehouse-Scale Computers. IEEE Micro. 36(3). 42–53. 4 indexed citations
17.
Hauswald, Johann, Michael A. Laurenzano, Yunqi Zhang, et al.. (2016). Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. ACM Transactions on Computer Systems. 34(1). 1–32. 13 indexed citations
18.
Hauswald, Johann, Michael A. Laurenzano, Cheng Li, et al.. (2015). Sirius. ACM SIGARCH Computer Architecture News. 43(1). 223–238. 5 indexed citations
19.
Hauswald, Johann, Michael A. Laurenzano, Cheng Li, et al.. (2015). Sirius. ACM SIGPLAN Notices. 50(4). 223–238. 26 indexed citations
20.
Hauswald, Johann, Michael A. Laurenzano, Yunqi Zhang, et al.. (2015). Sirius. 223–238. 135 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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