Austin Rovinski
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Information Systems top 5%
- Co-authors
- Trevor MudgeJason MarsJohann HauswaldLingjia TangYiping KangCao GaoRonald DreslinskiVinícius Petrucci
- Topics
- IoT and Edge/Fog Computing (9 papers)Parallel Computing and Optimization Techniques (6 papers)Interconnection Networks and Systems (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHardware and Architecture
- Journals
- IEEE Journal of Solid-State CircuitsACM Transactions on Computer SystemsACM SIGPLAN Notices
- Partner nations
- United StatesBrazilSingapore
In The Last Decade
Austin Rovinski
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 839
- Computer Vision and Pattern Recognition 688
- Artificial Intelligence 445
- Electrical and Electronic Engineering 392
- Information Systems 203
Countries citing papers authored by Austin Rovinski
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 62 | |
| 10 | 6 | |
| 11 | 59 | |
| 12 | 111 | |
| 13 | 3 | |
| 14 | Neurosurgeonbreakdown → | 449 |
| 15 | Neurosurgeonbreakdown → | 527 |
| 16 | 17 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 26 | |
| 20 | 135 |
About Austin Rovinski
Austin Rovinski is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (839 citations), Computer Vision and Pattern Recognition (688 citations) and Hardware and Architecture (187 citations). Austin Rovinski has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Trevor Mudge, Jason Mars, Johann Hauswald, Lingjia Tang, Yiping Kang, Cao Gao, Ronald Dreslinski, Vinícius Petrucci, Michael A. Laurenzano and Cheng Li. Their work appears in journals such as IEEE Journal of Solid-State Circuits, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.
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.