Ryan Marcus

1.8k total citations
34 papers, 868 citations indexed

About

Ryan Marcus is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ryan Marcus has authored 34 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 17 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in Ryan Marcus's work include Advanced Database Systems and Queries (15 papers), Cloud Computing and Resource Management (14 papers) and Data Management and Algorithms (13 papers). Ryan Marcus is often cited by papers focused on Advanced Database Systems and Queries (15 papers), Cloud Computing and Resource Management (14 papers) and Data Management and Algorithms (13 papers). Ryan Marcus collaborates with scholars based in United States, Germany and Hong Kong. Ryan Marcus's co-authors include Tim Kraska, Parimarjan Negi, Nesime Tatbul, Mohammad Alizadeh, Hongzi Mao, Olga Papaemmanouil, Chi Zhang, Andreas Kipf, Alexander van Renen and Thomas Neumann and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM SIGOPS Operating Systems Review.

In The Last Decade

Ryan Marcus

31 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Marcus United States 15 568 413 408 293 137 34 868
Xuanhe Zhou China 16 439 0.8× 418 1.0× 240 0.6× 274 0.9× 61 0.4× 35 749
Sanjay Agrawal India 13 883 1.6× 307 0.7× 595 1.5× 522 1.8× 82 0.6× 34 1.1k
Parimarjan Negi United States 11 388 0.7× 246 0.6× 263 0.6× 203 0.7× 93 0.7× 13 567
Henry Milner United States 6 583 1.0× 230 0.6× 370 0.9× 183 0.6× 374 2.7× 9 824
Dana Van Aken United States 9 640 1.1× 308 0.7× 174 0.4× 443 1.5× 61 0.4× 10 809
Mike Stonebraker United States 8 1.0k 1.8× 353 0.9× 386 0.9× 519 1.8× 137 1.0× 13 1.2k
Jonathan Goldstein United States 16 756 1.3× 268 0.6× 456 1.1× 382 1.3× 169 1.2× 41 985
Anurag S. Maskey United States 5 915 1.6× 319 0.8× 427 1.0× 363 1.2× 90 0.7× 6 1.0k
Songyun Duan United States 12 467 0.8× 338 0.8× 181 0.4× 355 1.2× 101 0.7× 21 682
Jagannathan Srinivasan United States 13 477 0.8× 371 0.9× 235 0.6× 238 0.8× 99 0.7× 36 641

Countries citing papers authored by Ryan Marcus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Marcus

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Marcus. A scholar is included among the top collaborators of Ryan Marcus 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 Ryan Marcus. Ryan Marcus 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.
Ives, Zachary G., et al.. (2025). Low Rank Learning for Offline Query Optimization. Proceedings of the ACM on Management of Data. 3(3). 1–26. 2 indexed citations
2.
Marcus, Ryan, et al.. (2024). Stage: Query Execution Time Prediction in Amazon Redshift. 280–294. 9 indexed citations
3.
Amiri, Mohammad Javad, et al.. (2024). BFTGym: An Interactive Playground for BFT Protocols. Proceedings of the VLDB Endowment. 17(12). 4261–4264. 1 indexed citations
4.
Amiri, Mohammad Javad, et al.. (2024). Towards Truly Adaptive Byzantine Fault-Tolerant Consensus. ACM SIGOPS Operating Systems Review. 58(1). 15–22. 1 indexed citations
5.
Amiri, Mohammad Javad, et al.. (2023). AdaChain: A Learned Adaptive Blockchain. Proceedings of the VLDB Endowment. 16(8). 2033–2046. 9 indexed citations
6.
Tatbul, Nesime, et al.. (2023). QO-Insight: Inspecting Steered Query Optimizers. Proceedings of the VLDB Endowment. 16(12). 3922–3925. 1 indexed citations
7.
Tatbul, Nesime, et al.. (2023). AutoSteer: Learned Query Optimization for Any SQL Database. Proceedings of the VLDB Endowment. 16(12). 3515–3527. 20 indexed citations
8.
Marcus, Ryan, et al.. (2023). Kepler: Robust Learning for Parametric Query Optimization. Proceedings of the ACM on Management of Data. 1(1). 1–25. 14 indexed citations
9.
Marcus, Ryan, Parimarjan Negi, Hongzi Mao, et al.. (2022). Bao. ACM SIGMOD Record. 51(1). 6–13. 30 indexed citations
10.
Kipf, Andreas, et al.. (2022). LSI. 1–5. 4 indexed citations
11.
Marcus, Ryan, Parimarjan Negi, Hongzi Mao, et al.. (2021). Bao: Making Learned Query Optimization Practical. DSpace@MIT (Massachusetts Institute of Technology). 1275–1288. 91 indexed citations
12.
Negi, Parimarjan, Ryan Marcus, Andreas Kipf, et al.. (2021). Flow-loss. Proceedings of the VLDB Endowment. 14(11). 2019–2032. 35 indexed citations
13.
Marcus, Ryan, Emily Zhang, & Tim Kraska. (2020). CDFShop: Exploring and Optimizing Learned Index Structures. 2789–2792. 36 indexed citations
14.
Kipf, Andreas, Ryan Marcus, Alexander van Renen, et al.. (2020). RadixSpline. 1–5. 96 indexed citations
15.
Mao, Hongzi, Parimarjan Negi, Akshay Narayan, et al.. (2019). Park: An Open Platform for Learning-Augmented Computer Systems. DSpace@MIT (Massachusetts Institute of Technology). 32. 2490–2502. 39 indexed citations
16.
Ding, Bailu, Sudipto Das, Ryan Marcus, et al.. (2019). AI Meets AI. 1241–1258. 80 indexed citations
17.
Marcus, Ryan & Olga Papaemmanouil. (2018). Towards a Hands-Free Query Optimizer through Deep Learning.. Conference on Innovative Data Systems Research. 4 indexed citations
18.
Marcus, Ryan, et al.. (2018). NashDB. 1253–1267. 18 indexed citations
19.
Marcus, Ryan & Olga Papaemmanouil. (2017). Releasing Cloud Databases for the Chains of Performance Prediction Models.. Conference on Innovative Data Systems Research. 10 indexed citations
20.
Marcus, Ryan & Olga Papaemmanouil. (2016). Workload management for cloud databases via machine learning. 27–30. 4 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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