Stanko Novaković
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 7
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- Advanced Data Storage Technologies 9
- Distributed systems and fault tolerance 8
- Interconnection Networks and Systems 5
- Software-Defined Networks and 5G 1
- IoT and Edge/Fog Computing 1
- Information Systems top 1%
- Cloud Computing and Resource Management 16
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- Graph Theory and Algorithms 2
- Co-authors
- Ricardo BianchiniEdouard BugnionBoris GrotBabak FalsafiDejan KostićNedeljko VasićDejan NovakovićAlexandros Daglis
- Journals
- ACM SIGPLAN Notices (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)ACM Transactions on Computer Systems (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Stanko Novaković
18 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 30
- Hardware and Architecture 275
- Computer Networks and Communications 636
- Information Systems 476
- Computer Vision and Pattern Recognition 31
- Artificial Intelligence 47
Countries citing papers authored by Stanko Novaković
This map shows the geographic impact of Stanko Novaković'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 Stanko Novaković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanko Novaković more than expected).
Fields of papers citing papers by Stanko Novaković
This network shows the impact of papers produced by Stanko Novaković. 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 Stanko Novaković. The network helps show where Stanko Novaković may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stanko Novaković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pond: CXL-Based Memory Pooling Systems for Cloud Platformsbreakdown → | 2023 | 140 |
| 2 | 2022 | 21 | |
| 3 | 2020 | 43 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 42 | |
| 6 | 2019 | 35 | |
| 7 | 2018 | 6 | |
| 8 | Remote regions: a simple abstraction for remote memory | 2018 | 37 |
| 9 | 2016 | 7 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 5 | |
| 14 | 2015 | 21 | |
| 15 | 2014 | 96 | |
| 16 | 2014 | 13 | |
| 17 | 2014 | 2 | |
| 18 | DeepDive: transparently identifying and managing performance interference in virtualized environments | 2013 | 168 |
About Stanko Novaković
Stanko Novaković is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 18 papers that have together received 700 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Advanced Data Storage Technologies (9 papers), Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (7 papers), Interconnection Networks and Systems (5 papers), Graph Theory and Algorithms (2 papers), Software-Defined Networks and 5G (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Hardware and Architecture (275 citations), Computer Networks and Communications (636 citations) and Information Systems (476 citations). Stanko Novaković has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Ricardo Bianchini, Edouard Bugnion, Boris Grot, Babak Falsafi, Dejan Kostić, Nedeljko Vasić, Dejan Novaković, Alexandros Daglis, Huaicheng Li and Marcos K. Aguilera. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review, ACM Transactions on Computer Systems, Edinburgh Research Explorer and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.