Sudip Roy

1.3k total citations
12 papers, 522 citations indexed

About

Sudip Roy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sudip Roy has authored 12 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sudip Roy's work include Anomaly Detection Techniques and Applications (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Time Series Analysis and Forecasting (3 papers). Sudip Roy is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Time Series Analysis and Forecasting (3 papers). Sudip Roy collaborates with scholars based in United States, India and South Korea. Sudip Roy's co-authors include Neoklis Polyzotis, Steven Euijong Whang, Martin Zinkevich, Flip Korn, Natalya F. Noy, Christopher Olston, Alon Halevy, Eric Breck, Manish Kumar and Arnd Christian König and has published in prestigious journals such as ACM SIGMOD Record, IEEE Micro and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Sudip Roy

12 papers receiving 489 citations

Peers

Sudip Roy
Anastasia Dimou Belgium
Dustin Lange Germany
Juri Di Rocco Italy
Lisa Ehrlinger Austria
Chuanqi Tao China
Antônio Espósito Italy
Gustavo A. Oliva Canada
Benjamin Satzger Austria
Tatiana Levashova Russia
Anastasia Dimou Belgium
Sudip Roy
Citations per year, relative to Sudip Roy Sudip Roy (= 1×) peers Anastasia Dimou

Countries citing papers authored by Sudip Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Roy. A scholar is included among the top collaborators of Sudip Roy 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 Sudip Roy. Sudip Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Phothilimthana, Phitchaya Mangpo, et al.. (2022). Neural architecture search using property guided synthesis. Proceedings of the ACM on Programming Languages. 6(OOPSLA2). 1150–1179. 3 indexed citations
2.
Phothilimthana, Phitchaya Mangpo, Yanqi Zhou, Charith Mendis, et al.. (2021). A Learned Performance Model for Tensor Processing Units. arXiv (Cornell University). 3. 387–400. 3 indexed citations
3.
Phothilimthana, Phitchaya Mangpo, Amit Sabne, Yanqi Zhou, et al.. (2021). A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. 1–16. 9 indexed citations
4.
Polyzotis, Neoklis, et al.. (2020). TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines. 2793–2796. 22 indexed citations
5.
Zhou, Yanqi, Sudip Roy, AmirAli Abdolrashidi, et al.. (2020). A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro. 40(5). 26–36. 4 indexed citations
6.
Breck, Eric, et al.. (2019). Data Validation for Machine Learning. 1. 334–347. 67 indexed citations
7.
Polyzotis, Neoklis, Sudip Roy, Steven Euijong Whang, & Martin Zinkevich. (2018). Data Lifecycle Challenges in Production Machine Learning. ACM SIGMOD Record. 47(2). 17–28. 110 indexed citations
8.
Polyzotis, Neoklis, Sudip Roy, Steven Euijong Whang, & Martin Zinkevich. (2017). Data Management Challenges in Production Machine Learning. 1723–1726. 108 indexed citations
9.
Olston, Chris, Flip Korn, Natasha Noy, et al.. (2016). Managing Google’s data lake: an overview of the Goods system. IEEE Data(base) Engineering Bulletin. 39. 5–14. 33 indexed citations
10.
Roy, Sudip, Sourav Banerjee, Kaushik Chowdhury, & Utpal Biswas. (2016). Development and analysis of a three phase cloudlet allocation algorithm. Journal of King Saud University - Computer and Information Sciences. 29(4). 473–483. 15 indexed citations
11.
Halevy, Alon, Flip Korn, Natalya F. Noy, et al.. (2016). Goods. 795–806. 107 indexed citations
12.
Roy, Sudip, et al.. (2015). PerfAugur: Robust diagnostics for performance anomalies in cloud services. 1167–1178. 41 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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