Ryan Marcus
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 15
- Distributed systems and fault tolerance 5
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- Data Stream Mining Techniques 10
- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 3
- Stochastic Gradient Optimization Techniques 3
- Co-authors
- Tim Kraska (16 shared papers)Parimarjan Negi (9 shared papers)Mohammad Alizadeh (7 shared papers)Nesime Tatbul (8 shared papers)Hongzi Mao (6 shared papers)Olga Papaemmanouil (7 shared papers)Andreas Kipf (6 shared papers)Chi Zhang (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (11 papers)ACM SIGMOD Record (1 paper)ACM SIGOPS Operating Systems Review (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Proceedings of the ACM on Management of Data (3 papers)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Ryan Marcus
31 papers receiving 932 citations
Peers
Comparison fields: 5 of 42
- Signal Processing 454
- Computer Networks and Communications 629
- Information Systems 320
- Artificial Intelligence 444
- Management Science and Operations Research 107
Countries citing papers authored by Ryan Marcus
This map shows the geographic impact of Ryan Marcus'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 Ryan Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Marcus more than expected).
Fields of papers citing papers by Ryan Marcus
This network shows the impact of papers produced by Ryan Marcus. 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 Ryan Marcus. The network helps show where Ryan Marcus may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Marcus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 220 | |
| 2 | 2021 | 109 | |
| 3 | 2020 | 106 | |
| 4 | 2019 | 93 | |
| 5 | 2020 | 48 | |
| 6 | Park: An Open Platform for Learning-Augmented Computer Systems | 2019 | 40 |
| 7 | 2020 | 40 | |
| 8 | 2021 | 37 | |
| 9 | 2023 | 34 | |
| 10 | 2022 | 33 | |
| 11 | 2021 | 28 | |
| 12 | 2023 | 24 | |
| 13 | 2020 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2023 | 15 | |
| 17 | 2023 | 11 | |
| 18 | Releasing Cloud Databases for the Chains of Performance Prediction Models. | 2017 | 11 |
| 19 | 2024 | 10 | |
| 20 | 2022 | 9 |
About Ryan Marcus
Ryan Marcus is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 957 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Cloud Computing and Resource Management (14 papers), Data Management and Algorithms (13 papers), Data Stream Mining Techniques (10 papers), Distributed systems and fault tolerance (5 papers), Machine Learning and Data Classification (4 papers), Machine Learning and Algorithms (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Signal Processing (454 citations), Computer Networks and Communications (629 citations), Information Systems (320 citations), Artificial Intelligence (444 citations) and Management Science and Operations Research (107 citations). Ryan Marcus has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Tim Kraska, Parimarjan Negi, Mohammad Alizadeh, Nesime Tatbul, Hongzi Mao, Olga Papaemmanouil, Andreas Kipf, Chi Zhang, Vivek Narasayya and Alexander van Renen. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, ACM SIGOPS Operating Systems Review, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the ACM on Management of Data.
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.